CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Statistical Genetics Research Papers - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "by_tag", 'action': "show_one", 'controller_action': 'by_tag#show_one', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="+VjpCbQnpqzTgRa+zmnb7gd3oTwq8yAnvTPBUFVhij7t0Sjfr+LdvF9Jhft1Eu6Ow2PqO2dvm4G6tuvbgVIlmQ==" /> <link href="/Documents/in/Statistical_Genetics?after=50%2C51290809" rel="next" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="description" content="View Statistical Genetics Research Papers on Academia.edu for free." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'by_tag'; var $action_name = "show_one"; var $rails_env = 'production'; var $app_rev = 'c7c923e13c2d00b99cbe85c9159af2026a636b1c'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15272,"monthly_visitors":"113 million","monthly_visitor_count":113784677,"monthly_visitor_count_in_millions":113,"user_count":277445827,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732708927000); window.Aedu.timeDifference = new Date().getTime() - 1732708927000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-abfe14709f87872daacfe98b00812033ac214684652bef9d49abfed8b549f9f6.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-57c07c4415ad4e6a22ced3639e4df9a5401c1e44346ffeb379134e0f2293c589.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://www.academia.edu/Documents/in/Statistical_Genetics" /> </head>   <body class='c-by_tag a-show_one logged_out u-bgColorWhite'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav no-sm no-md"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <div class="DesignSystem" style="margin-top:-40px"><div class="PageHeader"><div class="container"><div class="row"><style type="text/css">.sor-abstract { display: -webkit-box; overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Statistical Genetics</h1><div class="u-tcGrayDark">10,268 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Statistical Genetics</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Statistical_Genetics">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistical_Genetics/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistical_Genetics/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Statistical_Genetics/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Statistical_Genetics">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75486351" data-work_id="75486351" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75486351/Genome_wide_analysis_identifies_12_loci_influencing_human_reproductive_behavior">Genome-wide analysis identifies 12 loci influencing human reproductive behavior</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75486351" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75486351" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c6176c8e8d715f381af25e76f8680428" rel="nofollow" data-download="{"attachment_id":83236299,"asset_id":75486351,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83236299/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31902819" href="https://independent.academia.edu/DavidLiewald">David Liewald</a><script data-card-contents-for-user="31902819" type="text/json">{"id":31902819,"first_name":"David","last_name":"Liewald","domain_name":"independent","page_name":"DavidLiewald","display_name":"David Liewald","profile_url":"https://independent.academia.edu/DavidLiewald?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75486351 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75486351"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75486351, container: ".js-paper-rank-work_75486351", }); });</script></li><li class="js-percentile-work_75486351 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75486351; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75486351"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75486351 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75486351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75486351; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75486351]").text(description); $(".js-view-count-work_75486351").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75486351").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75486351"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4559" href="https://www.academia.edu/Documents/in/Reproduction">Reproduction</a>, <script data-card-contents-for-ri="4559" type="text/json">{"id":4559,"name":"Reproduction","url":"https://www.academia.edu/Documents/in/Reproduction?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7590" href="https://www.academia.edu/Documents/in/Behavior_Genetics">Behavior Genetics</a><script data-card-contents-for-ri="7590" type="text/json">{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75486351]'), work: {"id":75486351,"title":"Genome-wide analysis identifies 12 loci influencing human reproductive behavior","created_at":"2022-04-04T22:40:23.440-07:00","url":"https://www.academia.edu/75486351/Genome_wide_analysis_identifies_12_loci_influencing_human_reproductive_behavior?f_ri=6114","dom_id":"work_75486351","summary":"The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.","downloadable_attachments":[{"id":83236299,"asset_id":75486351,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":31902819,"first_name":"David","last_name":"Liewald","domain_name":"independent","page_name":"DavidLiewald","display_name":"David Liewald","profile_url":"https://independent.academia.edu/DavidLiewald?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":4559,"name":"Reproduction","url":"https://www.academia.edu/Documents/in/Reproduction?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":8954,"name":"Fertility","url":"https://www.academia.edu/Documents/in/Fertility?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":62550,"name":"Pregnancy","url":"https://www.academia.edu/Documents/in/Pregnancy?f_ri=6114"},{"id":207152,"name":"Birth Order","url":"https://www.academia.edu/Documents/in/Birth_Order?f_ri=6114"},{"id":213897,"name":"Phenotype","url":"https://www.academia.edu/Documents/in/Phenotype?f_ri=6114"},{"id":402446,"name":"Maternal Age","url":"https://www.academia.edu/Documents/in/Maternal_Age?f_ri=6114"},{"id":403740,"name":"Single Nucleotide Polymorphism","url":"https://www.academia.edu/Documents/in/Single_Nucleotide_Polymorphism?f_ri=6114"},{"id":478597,"name":"Reproductive behavior","url":"https://www.academia.edu/Documents/in/Reproductive_behavior?f_ri=6114"},{"id":547589,"name":"Quantitative Trait Loci","url":"https://www.academia.edu/Documents/in/Quantitative_Trait_Loci?f_ri=6114"},{"id":767909,"name":"Parity","url":"https://www.academia.edu/Documents/in/Parity?f_ri=6114"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68987625" data-work_id="68987625" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68987625/An_economic_selection_index_that_combines_cane_yield_and_sugar_content_in_identifying_superior_sugarcane_clones_in_Kenya">An economic selection index that combines cane yield and sugar content in identifying superior sugarcane clones in Kenya</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the market. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68987625" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the market. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved sugarcane varieties is high. The economic value of improving such sugarcane traits has not been incorporated in many of the sugarcane selection program including the one for Kenya Sugar Research Foundation (KESREF). This research was designed to construct an economic selection index that combines both cane and sugar yields according to their economic values. Breeding experimental trial was established and the convectional KESREF sugarcane breeding program followed from stage 1 to 5, though the selection index was used in stage 3 to 5.A randomized complete block (RCBD) was used in all the stages to randomize the treatments and agronomic and quality traits data were collected. An Analysis of Variance was performed to estimate the heritability, genotypi...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68987625" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="207766392" href="https://independent.academia.edu/VICTOROTIENO93">VICTOR OTIENO</a><script data-card-contents-for-user="207766392" type="text/json">{"id":207766392,"first_name":"VICTOR","last_name":"OTIENO","domain_name":"independent","page_name":"VICTOROTIENO93","display_name":"VICTOR OTIENO","profile_url":"https://independent.academia.edu/VICTOROTIENO93?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_68987625 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68987625"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68987625, container: ".js-paper-rank-work_68987625", }); });</script></li><li class="js-percentile-work_68987625 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68987625; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_68987625"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_68987625 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="68987625"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68987625; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68987625]").text(description); $(".js-view-count-work_68987625").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_68987625").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="68987625"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56080" href="https://www.academia.edu/Documents/in/Agricultural_Statistics">Agricultural Statistics</a>, <script data-card-contents-for-ri="56080" type="text/json">{"id":56080,"name":"Agricultural Statistics","url":"https://www.academia.edu/Documents/in/Agricultural_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="176720" href="https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics">Statistical methods in Modern Genetics</a><script data-card-contents-for-ri="176720" type="text/json">{"id":176720,"name":"Statistical methods in Modern Genetics","url":"https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=68987625]'), work: {"id":68987625,"title":"An economic selection index that combines cane yield and sugar content in identifying superior sugarcane clones in Kenya","created_at":"2022-01-21T05:07:11.021-08:00","url":"https://www.academia.edu/68987625/An_economic_selection_index_that_combines_cane_yield_and_sugar_content_in_identifying_superior_sugarcane_clones_in_Kenya?f_ri=6114","dom_id":"work_68987625","summary":"Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the market. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved sugarcane varieties is high. The economic value of improving such sugarcane traits has not been incorporated in many of the sugarcane selection program including the one for Kenya Sugar Research Foundation (KESREF). This research was designed to construct an economic selection index that combines both cane and sugar yields according to their economic values. Breeding experimental trial was established and the convectional KESREF sugarcane breeding program followed from stage 1 to 5, though the selection index was used in stage 3 to 5.A randomized complete block (RCBD) was used in all the stages to randomize the treatments and agronomic and quality traits data were collected. An Analysis of Variance was performed to estimate the heritability, genotypi...","downloadable_attachments":[],"ordered_authors":[{"id":207766392,"first_name":"VICTOR","last_name":"OTIENO","domain_name":"independent","page_name":"VICTOROTIENO93","display_name":"VICTOR OTIENO","profile_url":"https://independent.academia.edu/VICTOROTIENO93?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":56080,"name":"Agricultural Statistics","url":"https://www.academia.edu/Documents/in/Agricultural_Statistics?f_ri=6114","nofollow":false},{"id":176720,"name":"Statistical methods in Modern Genetics","url":"https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37099343" data-work_id="37099343" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37099343/Co_eventum_mechanics_revised_version_">Co∼eventum mechanics (revised version)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">You yourself, or what is the same, your experience is such ``coin'' that, while you aren't questioned, it rotates all the time in ``free flight''. And only when you answer the question the ``coin'' falls on one of the sides: ``Yes'' or... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37099343" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">You yourself, or what is the same, your experience is such ``coin'' that, while you aren't questioned, it rotates all the time in ``free flight''. And only when you answer the question the ``coin'' falls on one of the sides: ``Yes'' or ``No'' with the believability that your experience tells you.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37099343" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7d6af6e66cf7d818b128cdaa4498c9fe" rel="nofollow" data-download="{"attachment_id":57425031,"asset_id":37099343,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57425031/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38890" href="https://sfu-kras.academia.edu/OlegVorobyev">Oleg Yu Vorobyev</a><script data-card-contents-for-user="38890" type="text/json">{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}</script></span></span></li><li class="js-paper-rank-work_37099343 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37099343"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37099343, container: ".js-paper-rank-work_37099343", }); });</script></li><li class="js-percentile-work_37099343 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37099343; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37099343"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37099343 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37099343"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37099343; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37099343]").text(description); $(".js-view-count-work_37099343").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37099343").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37099343"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">154</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="307" href="https://www.academia.edu/Documents/in/Mathematical_Statistics">Mathematical Statistics</a>, <script data-card-contents-for-ri="307" type="text/json">{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="344" href="https://www.academia.edu/Documents/in/Probability_Theory">Probability Theory</a>, <script data-card-contents-for-ri="344" type="text/json">{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="518" href="https://www.academia.edu/Documents/in/Quantum_Physics">Quantum Physics</a>, <script data-card-contents-for-ri="518" type="text/json">{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="520" href="https://www.academia.edu/Documents/in/Statistical_Mechanics">Statistical Mechanics</a><script data-card-contents-for-ri="520" type="text/json">{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37099343]'), work: {"id":37099343,"title":"Co∼eventum mechanics (revised version)","created_at":"2018-07-22T20:03:57.562-07:00","url":"https://www.academia.edu/37099343/Co_eventum_mechanics_revised_version_?f_ri=6114","dom_id":"work_37099343","summary":"You yourself, or what is the same, your experience is such ``coin'' that, while you aren't questioned, it rotates all the time in ``free flight''. And only when you answer the question the ``coin'' falls on one of the sides: ``Yes'' or ``No'' with the believability that your experience tells you.","downloadable_attachments":[{"id":57425031,"asset_id":37099343,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}],"research_interests":[{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false},{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false},{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false},{"id":821,"name":"Philosophy of Science","url":"https://www.academia.edu/Documents/in/Philosophy_of_Science?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":2445,"name":"Statistical Signal Processing","url":"https://www.academia.edu/Documents/in/Statistical_Signal_Processing?f_ri=6114"},{"id":2560,"name":"Probabilistic Networks","url":"https://www.academia.edu/Documents/in/Probabilistic_Networks?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4061,"name":"Theoretical Statistics","url":"https://www.academia.edu/Documents/in/Theoretical_Statistics?f_ri=6114"},{"id":4384,"name":"Medical Statistics","url":"https://www.academia.edu/Documents/in/Medical_Statistics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4886,"name":"Meta-Analysis (Statistics)","url":"https://www.academia.edu/Documents/in/Meta-Analysis_Statistics_?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5714,"name":"Spatial statistics (Mathematics)","url":"https://www.academia.edu/Documents/in/Spatial_statistics_Mathematics_?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":9739,"name":"Probabilistic Markov Modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_Markov_Modeling?f_ri=6114"},{"id":9796,"name":"Philosophy Of Probability","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Probability?f_ri=6114"},{"id":11373,"name":"Sports Statistics","url":"https://www.academia.edu/Documents/in/Sports_Statistics?f_ri=6114"},{"id":12853,"name":"Robust Statistics","url":"https://www.academia.edu/Documents/in/Robust_Statistics?f_ri=6114"},{"id":12884,"name":"Brain behavior from statistical analysis of eeg signals","url":"https://www.academia.edu/Documents/in/Brain_behavior_from_statistical_analysis_of_eeg_signals?f_ri=6114"},{"id":13645,"name":"Quantum Optics \u0026 Statistical Physics","url":"https://www.academia.edu/Documents/in/Quantum_Optics_and_Statistical_Physics?f_ri=6114"},{"id":14040,"name":"Statistical Literacy","url":"https://www.academia.edu/Documents/in/Statistical_Literacy?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":15044,"name":"Bootstrap (Statistics)","url":"https://www.academia.edu/Documents/in/Bootstrap_Statistics_?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":15550,"name":"Statistical Probability","url":"https://www.academia.edu/Documents/in/Statistical_Probability?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17553,"name":"Statistical Machine Translation","url":"https://www.academia.edu/Documents/in/Statistical_Machine_Translation?f_ri=6114"},{"id":19204,"name":"Nonequilibrium statistical mechanics","url":"https://www.academia.edu/Documents/in/Nonequilibrium_statistical_mechanics?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":26691,"name":"Statistical Process Control","url":"https://www.academia.edu/Documents/in/Statistical_Process_Control?f_ri=6114"},{"id":26957,"name":"Statistical Modelling","url":"https://www.academia.edu/Documents/in/Statistical_Modelling?f_ri=6114"},{"id":27371,"name":"Statistical Thermodynamics","url":"https://www.academia.edu/Documents/in/Statistical_Thermodynamics?f_ri=6114"},{"id":27550,"name":"History of Statistics and Statistical Agencies","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Statistical_Agencies?f_ri=6114"},{"id":27770,"name":"Statistics education (Education)","url":"https://www.academia.edu/Documents/in/Statistics_education_Education_?f_ri=6114"},{"id":27926,"name":"Statistical Methods in Archaeology","url":"https://www.academia.edu/Documents/in/Statistical_Methods_in_Archaeology?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":31826,"name":"Sampling (Mathematical Statistics)","url":"https://www.academia.edu/Documents/in/Sampling_Mathematical_Statistics_?f_ri=6114"},{"id":32815,"name":"Probability and Mathematical Statistics in power systems","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics_in_power_systems?f_ri=6114"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability?f_ri=6114"},{"id":33408,"name":"Algebraic Statistics","url":"https://www.academia.edu/Documents/in/Algebraic_Statistics?f_ri=6114"},{"id":33479,"name":"Statistical Hydrology","url":"https://www.academia.edu/Documents/in/Statistical_Hydrology?f_ri=6114"},{"id":35966,"name":"Statistical Design of Experiment (DoE)","url":"https://www.academia.edu/Documents/in/Statistical_Design_of_Experiment_DoE_?f_ri=6114"},{"id":37305,"name":"Statistical Quality Control","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control?f_ri=6114"},{"id":37316,"name":"Statistical Learning Theory","url":"https://www.academia.edu/Documents/in/Statistical_Learning_Theory?f_ri=6114"},{"id":38246,"name":"Statistical Learning","url":"https://www.academia.edu/Documents/in/Statistical_Learning?f_ri=6114"},{"id":39699,"name":"Probabilistic Graphical Models","url":"https://www.academia.edu/Documents/in/Probabilistic_Graphical_Models?f_ri=6114"},{"id":40174,"name":"Business statistics","url":"https://www.academia.edu/Documents/in/Business_statistics?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41481,"name":"Experimental Statistics","url":"https://www.academia.edu/Documents/in/Experimental_Statistics?f_ri=6114"},{"id":41815,"name":"Applied Probability","url":"https://www.academia.edu/Documents/in/Applied_Probability?f_ri=6114"},{"id":48641,"name":"Applied Bayesian Statistics","url":"https://www.academia.edu/Documents/in/Applied_Bayesian_Statistics?f_ri=6114"},{"id":51105,"name":"Official Statistics","url":"https://www.academia.edu/Documents/in/Official_Statistics?f_ri=6114"},{"id":52054,"name":"Predictive Modeling Using Statistical programs","url":"https://www.academia.edu/Documents/in/Predictive_Modeling_Using_Statistical_programs?f_ri=6114"},{"id":53778,"name":"Inferential Statistics","url":"https://www.academia.edu/Documents/in/Inferential_Statistics?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":55333,"name":"Teaching and Learning of Statistics","url":"https://www.academia.edu/Documents/in/Teaching_and_Learning_of_Statistics?f_ri=6114"},{"id":56080,"name":"Agricultural Statistics","url":"https://www.academia.edu/Documents/in/Agricultural_Statistics?f_ri=6114"},{"id":56502,"name":"Order Statistics","url":"https://www.academia.edu/Documents/in/Order_Statistics?f_ri=6114"},{"id":59959,"name":"Research methods and Statistics","url":"https://www.academia.edu/Documents/in/Research_methods_and_Statistics?f_ri=6114"},{"id":60140,"name":"Probabilistic group theory","url":"https://www.academia.edu/Documents/in/Probabilistic_group_theory?f_ri=6114"},{"id":60399,"name":"Statistical analysis of elite sport performance","url":"https://www.academia.edu/Documents/in/Statistical_analysis_of_elite_sport_performance?f_ri=6114"},{"id":64346,"name":"History of statistics","url":"https://www.academia.edu/Documents/in/History_of_statistics?f_ri=6114"},{"id":65150,"name":"Climate statistics","url":"https://www.academia.edu/Documents/in/Climate_statistics?f_ri=6114"},{"id":67968,"name":"Statistical Inference","url":"https://www.academia.edu/Documents/in/Statistical_Inference?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":84155,"name":"R statistics","url":"https://www.academia.edu/Documents/in/R_statistics?f_ri=6114"},{"id":85362,"name":"Descriptive Statistics","url":"https://www.academia.edu/Documents/in/Descriptive_Statistics?f_ri=6114"},{"id":86967,"name":"STATISTICA","url":"https://www.academia.edu/Documents/in/STATISTICA?f_ri=6114"},{"id":94117,"name":"Basic Statistics","url":"https://www.academia.edu/Documents/in/Basic_Statistics?f_ri=6114"},{"id":98593,"name":"Statistical Climatology","url":"https://www.academia.edu/Documents/in/Statistical_Climatology?f_ri=6114"},{"id":98682,"name":"Economic Statistics","url":"https://www.academia.edu/Documents/in/Economic_Statistics?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":100094,"name":"Bayesian statistics","url":"https://www.academia.edu/Documents/in/Bayesian_statistics?f_ri=6114"},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=6114"},{"id":105930,"name":"Statistical Downscaling","url":"https://www.academia.edu/Documents/in/Statistical_Downscaling?f_ri=6114"},{"id":119313,"name":"Statistics, Actuarial Science, Risk Managemen","url":"https://www.academia.edu/Documents/in/Statistics_Actuarial_Science_Risk_Managemen?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":125797,"name":"Circular Statistics","url":"https://www.academia.edu/Documents/in/Circular_Statistics?f_ri=6114"},{"id":129810,"name":"Experimental Research Design and Statistical Data Analysis","url":"https://www.academia.edu/Documents/in/Experimental_Research_Design_and_Statistical_Data_Analysis?f_ri=6114"},{"id":131077,"name":"Statistical systems analysis","url":"https://www.academia.edu/Documents/in/Statistical_systems_analysis?f_ri=6114"},{"id":134705,"name":"Sports Management \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Sports_Management_and_Statistics?f_ri=6114"},{"id":140022,"name":"Statistical Reasoning","url":"https://www.academia.edu/Documents/in/Statistical_Reasoning?f_ri=6114"},{"id":144104,"name":"Statistics, Econometrics, Economics, Marketing searching and adjusting, Management methods, Demography, Projects with foreign financing, Price universe and interpret indices, Physics, Econophysics.","url":"https://www.academia.edu/Documents/in/Statistics_Econometrics_Economics_Marketing_searching_and_adjusting_Management_methods_Demograp?f_ri=6114"},{"id":149462,"name":"Statistical","url":"https://www.academia.edu/Documents/in/Statistical?f_ri=6114"},{"id":152694,"name":"Statistical Methods","url":"https://www.academia.edu/Documents/in/Statistical_Methods?f_ri=6114"},{"id":162763,"name":"Probability Sampling","url":"https://www.academia.edu/Documents/in/Probability_Sampling?f_ri=6114"},{"id":178403,"name":"Probabilistic reasoning","url":"https://www.academia.edu/Documents/in/Probabilistic_reasoning?f_ri=6114"},{"id":183211,"name":"Experimental Archaeology x Lithics x Lithic Technology x Quartz industries x Typology x Archaeology x Archaeometry x Archaeological Method \u0026 Theory x Archaeological Science x Statistical Methods in Archaeology x","url":"https://www.academia.edu/Documents/in/Experimental_Archaeology_x_Lithics_x_Lithic_Technology_x_Quartz_industries_x_Typology_x_Archaeology_?f_ri=6114"},{"id":188474,"name":"Applied Statistics and Statistical Modelling","url":"https://www.academia.edu/Documents/in/Applied_Statistics_and_Statistical_Modelling?f_ri=6114"},{"id":192618,"name":"Non-Parametric Parametric Statistics","url":"https://www.academia.edu/Documents/in/Non-Parametric_Parametric_Statistics?f_ri=6114"},{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114"},{"id":230995,"name":"Crime Statistics","url":"https://www.academia.edu/Documents/in/Crime_Statistics?f_ri=6114"},{"id":236116,"name":"Demography and Social Statistics","url":"https://www.academia.edu/Documents/in/Demography_and_Social_Statistics?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":273724,"name":"Statistics and Mathematics","url":"https://www.academia.edu/Documents/in/Statistics_and_Mathematics?f_ri=6114"},{"id":277776,"name":"Quantum and classical statistical mechanics","url":"https://www.academia.edu/Documents/in/Quantum_and_classical_statistical_mechanics?f_ri=6114"},{"id":315908,"name":"Probability distributions to model air pollutant data","url":"https://www.academia.edu/Documents/in/Probability_distributions_to_model_air_pollutant_data?f_ri=6114"},{"id":328408,"name":"Agrofood Economics and Statistics","url":"https://www.academia.edu/Documents/in/Agrofood_Economics_and_Statistics?f_ri=6114"},{"id":332914,"name":"Financial Statistics","url":"https://www.academia.edu/Documents/in/Financial_Statistics?f_ri=6114"},{"id":334913,"name":"Education Statistics","url":"https://www.academia.edu/Documents/in/Education_Statistics?f_ri=6114"},{"id":343413,"name":"Applied Probability and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Probability_and_Statistics?f_ri=6114"},{"id":368423,"name":"Educational statistics","url":"https://www.academia.edu/Documents/in/Educational_statistics?f_ri=6114"},{"id":385362,"name":"Estadística y probabilidad","url":"https://www.academia.edu/Documents/in/Estadistica_y_probabilidad?f_ri=6114"},{"id":387554,"name":"Microarray Data Analysis using Statistical Computing and R Programming","url":"https://www.academia.edu/Documents/in/Microarray_Data_Analysis_using_Statistical_Computing_and_R_Programming?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":420825,"name":"Manual -en español- IBM SPSS Statistics Base 20","url":"https://www.academia.edu/Documents/in/Manual_-en_espanol-_IBM_SPSS_Statistics_Base_20?f_ri=6114"},{"id":463912,"name":"Probabilidade e Estatística","url":"https://www.academia.edu/Documents/in/Probabilidade_e_Estatistica?f_ri=6114"},{"id":516330,"name":"Psychological Statistics","url":"https://www.academia.edu/Documents/in/Psychological_Statistics?f_ri=6114"},{"id":571797,"name":"Introduction to Probability","url":"https://www.academia.edu/Documents/in/Introduction_to_Probability?f_ri=6114"},{"id":579837,"name":"Experimental Statistics: Planning of experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Planning_of_experiments?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":582439,"name":"History of Statistics and Probability","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Probability?f_ri=6114"},{"id":596654,"name":"Computer Science and Statistics","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Statistics?f_ri=6114"},{"id":643412,"name":"Statistical Analysis Techniques for Geography and Environmental Science","url":"https://www.academia.edu/Documents/in/Statistical_Analysis_Techniques_for_Geography_and_Environmental_Science?f_ri=6114"},{"id":653891,"name":"Probabilistic risk modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_risk_modeling?f_ri=6114"},{"id":654552,"name":"Statistical Softwares","url":"https://www.academia.edu/Documents/in/Statistical_Softwares?f_ri=6114"},{"id":674235,"name":"Combinatorics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Combinatorics_and_Statistics?f_ri=6114"},{"id":765384,"name":"Economics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics?f_ri=6114"},{"id":805000,"name":"Poisson statistics","url":"https://www.academia.edu/Documents/in/Poisson_statistics?f_ri=6114"},{"id":849389,"name":"Probabilidad","url":"https://www.academia.edu/Documents/in/Probabilidad?f_ri=6114"},{"id":853315,"name":"Calculo De Probabilidades","url":"https://www.academia.edu/Documents/in/Calculo_De_Probabilidades?f_ri=6114"},{"id":862259,"name":"Multivariate Statistical Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Statistical_Analysis?f_ri=6114"},{"id":872399,"name":"Probability Density Function","url":"https://www.academia.edu/Documents/in/Probability_Density_Function?f_ri=6114"},{"id":957044,"name":"Public Health. Mathematics \u0026 Statistics Education","url":"https://www.academia.edu/Documents/in/Public_Health._Mathematics_and_Statistics_Education?f_ri=6114"},{"id":966253,"name":"Multivariate Statistical Methods","url":"https://www.academia.edu/Documents/in/Multivariate_Statistical_Methods?f_ri=6114"},{"id":967876,"name":"Statistical Treatments In Biology","url":"https://www.academia.edu/Documents/in/Statistical_Treatments_In_Biology?f_ri=6114"},{"id":976616,"name":"Statistical Computing In R","url":"https://www.academia.edu/Documents/in/Statistical_Computing_In_R?f_ri=6114"},{"id":983203,"name":"Advanced Statistical Analsis","url":"https://www.academia.edu/Documents/in/Advanced_Statistical_Analsis?f_ri=6114"},{"id":990736,"name":"Statistical and Quantitative Modelling Methods","url":"https://www.academia.edu/Documents/in/Statistical_and_Quantitative_Modelling_Methods?f_ri=6114"},{"id":991025,"name":"Economics and Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics-1?f_ri=6114"},{"id":1003611,"name":"Business Analytics; Data Mining; Statistical Learning","url":"https://www.academia.edu/Documents/in/Business_Analytics_Data_Mining_Statistical_Learning?f_ri=6114"},{"id":1007285,"name":"Probability Theory and Statistics","url":"https://www.academia.edu/Documents/in/Probability_Theory_and_Statistics?f_ri=6114"},{"id":1129465,"name":"Probabilidades ejercicios","url":"https://www.academia.edu/Documents/in/Probabilidades_ejercicios?f_ri=6114"},{"id":1163024,"name":"Statistical Quality Control Tools","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control_Tools?f_ri=6114"},{"id":1255971,"name":"Analyzing Educational Data With IBM SPSS Statistics","url":"https://www.academia.edu/Documents/in/Analyzing_Educational_Data_With_IBM_SPSS_Statistics?f_ri=6114"},{"id":1279852,"name":"Lista de formulas de probabilidade e estatistica.","url":"https://www.academia.edu/Documents/in/Lista_de_formulas_de_probabilidade_e_estatistica?f_ri=6114"},{"id":1306008,"name":"Probabilidade Condicional","url":"https://www.academia.edu/Documents/in/Probabilidade_Condicional?f_ri=6114"},{"id":1322090,"name":"Konsep Dasar Probabilitas","url":"https://www.academia.edu/Documents/in/Konsep_Dasar_Probabilitas?f_ri=6114"},{"id":1331793,"name":"Financial Accounting, Economics, Marketing, Business Strategy and Public Relations, Business Consulting, Statistical Analysis, Brand Development, and Project Management, Human Resource, Management, Human Resources, Administration, and International HRM","url":"https://www.academia.edu/Documents/in/Financial_Accounting_Economics_Marketing_Business_Strategy_and_Public_Relations_Business_Consult?f_ri=6114"},{"id":1361680,"name":"Statistika dan Probabilitas","url":"https://www.academia.edu/Documents/in/Statistika_dan_Probabilitas?f_ri=6114"},{"id":1445633,"name":"Introductory of Statistics","url":"https://www.academia.edu/Documents/in/Introductory_of_Statistics?f_ri=6114"},{"id":1733909,"name":"Of Statistics","url":"https://www.academia.edu/Documents/in/Of_Statistics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_16348963 coauthored" data-work_id="16348963" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/16348963/MXM_reference_manual">MXM reference manual</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">MXM is an R package which offers variable selection for high-dimensional data in cases of regression and classification. Many regression models are offered. In addition some functions for Bayesian Networks and graphical models are... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_16348963" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">MXM is an R package which offers variable selection for high-dimensional data in cases of regression and classification. Many regression models are offered. In addition some functions for Bayesian Networks and graphical models are offered.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/16348963" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4d16e50774b27414c9f1c066926130c5" rel="nofollow" data-download="{"attachment_id":57450645,"asset_id":16348963,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57450645/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6338583" href="https://forth.academia.edu/GiorgosAthineou">Giorgos Athineou</a><script data-card-contents-for-user="6338583" type="text/json">{"id":6338583,"first_name":"Giorgos","last_name":"Athineou","domain_name":"forth","page_name":"GiorgosAthineou","display_name":"Giorgos Athineou","profile_url":"https://forth.academia.edu/GiorgosAthineou?f_ri=6114","photo":"https://0.academia-photos.com/6338583/3094240/3803047/s65_giorgos.athinaiou.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-16348963">+2</span><div class="hidden js-additional-users-16348963"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://crete.academia.edu/%CE%9C%CE%B9%CF%87%CE%B1%CE%AE%CE%BB%CE%A4%CF%83%CE%B1%CE%B3%CF%81%CE%AE%CF%82">Μιχαήλ Τσαγρής</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://crete.academia.edu/IoannisTsamardinos">Ioannis Tsamardinos</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-16348963'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-16348963').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_16348963 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="16348963"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 16348963, container: ".js-paper-rank-work_16348963", }); });</script></li><li class="js-percentile-work_16348963 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16348963; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_16348963"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_16348963 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="16348963"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16348963; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16348963]").text(description); $(".js-view-count-work_16348963").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_16348963").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="16348963"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">81</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="520" href="https://www.academia.edu/Documents/in/Statistical_Mechanics">Statistical Mechanics</a>, <script data-card-contents-for-ri="520" type="text/json">{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a><script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=16348963]'), work: {"id":16348963,"title":"MXM reference manual","created_at":"2015-10-01T00:48:43.441-07:00","url":"https://www.academia.edu/16348963/MXM_reference_manual?f_ri=6114","dom_id":"work_16348963","summary":"MXM is an R package which offers variable selection for high-dimensional data in cases of regression and classification. Many regression models are offered. In addition some functions for Bayesian Networks and graphical models are offered. \r\n\r\n","downloadable_attachments":[{"id":57450645,"asset_id":16348963,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6338583,"first_name":"Giorgos","last_name":"Athineou","domain_name":"forth","page_name":"GiorgosAthineou","display_name":"Giorgos Athineou","profile_url":"https://forth.academia.edu/GiorgosAthineou?f_ri=6114","photo":"https://0.academia-photos.com/6338583/3094240/3803047/s65_giorgos.athinaiou.jpg"},{"id":71523,"first_name":"Μιχαήλ","last_name":"Τσαγρής","domain_name":"crete","page_name":"ΜιχαήλΤσαγρής","display_name":"Μιχαήλ Τσαγρής","profile_url":"https://crete.academia.edu/%CE%9C%CE%B9%CF%87%CE%B1%CE%AE%CE%BB%CE%A4%CF%83%CE%B1%CE%B3%CF%81%CE%AE%CF%82?f_ri=6114","photo":"/images/s65_no_pic.png"},{"id":24434052,"first_name":"Ioannis","last_name":"Tsamardinos","domain_name":"crete","page_name":"IoannisTsamardinos","display_name":"Ioannis Tsamardinos","profile_url":"https://crete.academia.edu/IoannisTsamardinos?f_ri=6114","photo":"https://0.academia-photos.com/24434052/12783404/14207327/s65_ioannis.tsamardinos.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=6114"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4095,"name":"Classification (Machine Learning)","url":"https://www.academia.edu/Documents/in/Classification_Machine_Learning_?f_ri=6114"},{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4955,"name":"Computational Modelling","url":"https://www.academia.edu/Documents/in/Computational_Modelling?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5486,"name":"Clustering and Classification Methods","url":"https://www.academia.edu/Documents/in/Clustering_and_Classification_Methods?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":10005,"name":"Applications of Machine Learning","url":"https://www.academia.edu/Documents/in/Applications_of_Machine_Learning?f_ri=6114"},{"id":12853,"name":"Robust Statistics","url":"https://www.academia.edu/Documents/in/Robust_Statistics?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":16682,"name":"Mathematical Modelling","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling?f_ri=6114"},{"id":16895,"name":"Modelling","url":"https://www.academia.edu/Documents/in/Modelling?f_ri=6114"},{"id":17429,"name":"Structural Bioinformatics","url":"https://www.academia.edu/Documents/in/Structural_Bioinformatics?f_ri=6114"},{"id":19120,"name":"Regression Models","url":"https://www.academia.edu/Documents/in/Regression_Models?f_ri=6114"},{"id":19297,"name":"Microarray Data Analysis","url":"https://www.academia.edu/Documents/in/Microarray_Data_Analysis?f_ri=6114"},{"id":23892,"name":"Multivariate Data Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Data_Analysis?f_ri=6114"},{"id":24538,"name":"Computing","url":"https://www.academia.edu/Documents/in/Computing?f_ri=6114"},{"id":28512,"name":"Bayesian Networks","url":"https://www.academia.edu/Documents/in/Bayesian_Networks?f_ri=6114"},{"id":32433,"name":"Logistic Regression","url":"https://www.academia.edu/Documents/in/Logistic_Regression?f_ri=6114"},{"id":32701,"name":"Data Mining in Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=6114"},{"id":41482,"name":"Multivariate Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Analysis?f_ri=6114"},{"id":43619,"name":"Feature Selection","url":"https://www.academia.edu/Documents/in/Feature_Selection?f_ri=6114"},{"id":57644,"name":"Automatic Classification (Machine Learning)","url":"https://www.academia.edu/Documents/in/Automatic_Classification_Machine_Learning_?f_ri=6114"},{"id":59726,"name":"Bioinfomatics","url":"https://www.academia.edu/Documents/in/Bioinfomatics?f_ri=6114"},{"id":63857,"name":"Categorical data analysis","url":"https://www.academia.edu/Documents/in/Categorical_data_analysis?f_ri=6114"},{"id":67968,"name":"Statistical Inference","url":"https://www.academia.edu/Documents/in/Statistical_Inference?f_ri=6114"},{"id":75348,"name":"Cox Regression","url":"https://www.academia.edu/Documents/in/Cox_Regression?f_ri=6114"},{"id":81504,"name":"Correlation","url":"https://www.academia.edu/Documents/in/Correlation?f_ri=6114"},{"id":85344,"name":"Model Selection","url":"https://www.academia.edu/Documents/in/Model_Selection?f_ri=6114"},{"id":85879,"name":"Variable Selection","url":"https://www.academia.edu/Documents/in/Variable_Selection?f_ri=6114"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=6114"},{"id":113749,"name":"Multivariate","url":"https://www.academia.edu/Documents/in/Multivariate?f_ri=6114"},{"id":126300,"name":"Big Data","url":"https://www.academia.edu/Documents/in/Big_Data?f_ri=6114"},{"id":129502,"name":"Poisson regression","url":"https://www.academia.edu/Documents/in/Poisson_regression?f_ri=6114"},{"id":135987,"name":"Hypothesis testing","url":"https://www.academia.edu/Documents/in/Hypothesis_testing?f_ri=6114"},{"id":143038,"name":"Machine Learning and Pattern Recognition","url":"https://www.academia.edu/Documents/in/Machine_Learning_and_Pattern_Recognition?f_ri=6114"},{"id":161594,"name":"High Dimensional Data","url":"https://www.academia.edu/Documents/in/High_Dimensional_Data?f_ri=6114"},{"id":188474,"name":"Applied Statistics and Statistical Modelling","url":"https://www.academia.edu/Documents/in/Applied_Statistics_and_Statistical_Modelling?f_ri=6114"},{"id":199316,"name":"Multiple Linear Regression","url":"https://www.academia.edu/Documents/in/Multiple_Linear_Regression?f_ri=6114"},{"id":224578,"name":"Multiple Regression","url":"https://www.academia.edu/Documents/in/Multiple_Regression?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":289278,"name":"Big Data Analytics","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics?f_ri=6114"},{"id":371716,"name":"Pearson Correlation","url":"https://www.academia.edu/Documents/in/Pearson_Correlation?f_ri=6114"},{"id":382620,"name":"Multinomial logit models","url":"https://www.academia.edu/Documents/in/Multinomial_logit_models?f_ri=6114"},{"id":388661,"name":"Statistical method in gene expression","url":"https://www.academia.edu/Documents/in/Statistical_method_in_gene_expression?f_ri=6114"},{"id":404238,"name":"Chi-Square","url":"https://www.academia.edu/Documents/in/Chi-Square?f_ri=6114"},{"id":413148,"name":"Big Data / Analytics / Data Mining","url":"https://www.academia.edu/Documents/in/Big_Data_Analytics_Data_Mining?f_ri=6114"},{"id":484415,"name":"Multiple regression analysis","url":"https://www.academia.edu/Documents/in/Multiple_regression_analysis?f_ri=6114"},{"id":534154,"name":"Statistik","url":"https://www.academia.edu/Documents/in/Statistik?f_ri=6114"},{"id":559503,"name":"Machine Learning Big Data","url":"https://www.academia.edu/Documents/in/Machine_Learning_Big_Data?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":582369,"name":"Ordinal Regression","url":"https://www.academia.edu/Documents/in/Ordinal_Regression?f_ri=6114"},{"id":611814,"name":"Correlation coefficient","url":"https://www.academia.edu/Documents/in/Correlation_coefficient?f_ri=6114"},{"id":742501,"name":"Multinomial Logistic Regression","url":"https://www.academia.edu/Documents/in/Multinomial_Logistic_Regression?f_ri=6114"},{"id":753505,"name":"Chi Square Test","url":"https://www.academia.edu/Documents/in/Chi_Square_Test?f_ri=6114"},{"id":756715,"name":"Robust Regression","url":"https://www.academia.edu/Documents/in/Robust_Regression?f_ri=6114"},{"id":795003,"name":"Linear Regression","url":"https://www.academia.edu/Documents/in/Linear_Regression?f_ri=6114"},{"id":795013,"name":"Test of Independence","url":"https://www.academia.edu/Documents/in/Test_of_Independence?f_ri=6114"},{"id":839342,"name":"Binary Logistic Regression","url":"https://www.academia.edu/Documents/in/Binary_Logistic_Regression?f_ri=6114"},{"id":839955,"name":"Robust Statistical Methods","url":"https://www.academia.edu/Documents/in/Robust_Statistical_Methods?f_ri=6114"},{"id":862259,"name":"Multivariate Statistical Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Statistical_Analysis?f_ri=6114"},{"id":966253,"name":"Multivariate Statistical Methods","url":"https://www.academia.edu/Documents/in/Multivariate_Statistical_Methods?f_ri=6114"},{"id":976616,"name":"Statistical Computing In R","url":"https://www.academia.edu/Documents/in/Statistical_Computing_In_R?f_ri=6114"},{"id":1007210,"name":"High Dimensional Inference","url":"https://www.academia.edu/Documents/in/High_Dimensional_Inference?f_ri=6114"},{"id":1181584,"name":"Beta Regression","url":"https://www.academia.edu/Documents/in/Beta_Regression?f_ri=6114"},{"id":1181591,"name":"Regresión Beta","url":"https://www.academia.edu/Documents/in/Regresion_Beta?f_ri=6114"},{"id":1340986,"name":"Multivariate Regression Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Regression_Analysis?f_ri=6114"},{"id":1496485,"name":"Computational Statistics and Data Analysis","url":"https://www.academia.edu/Documents/in/Computational_Statistics_and_Data_Analysis?f_ri=6114"},{"id":1583936,"name":"Robust variable selection for high dimensional data","url":"https://www.academia.edu/Documents/in/Robust_variable_selection_for_high_dimensional_data?f_ri=6114"},{"id":2010416,"name":"Conditional Independence","url":"https://www.academia.edu/Documents/in/Conditional_Independence?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3706099" data-work_id="3706099" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3706099/Deskripsi_Sifat_F1_dari_Tetua_Tidak_Unggul_Ikan_Lele_Dumbo_Clarias_gariepinus_">Deskripsi Sifat F1 dari Tetua Tidak Unggul Ikan Lele Dumbo (Clarias gariepinus)</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3706099" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5fb39e4887ca100a89ef0ffd1f51f012" rel="nofollow" data-download="{"attachment_id":31389473,"asset_id":3706099,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31389473/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1459091" href="https://independent.academia.edu/Farikhahfarikhah">Farikhah farikhah</a><script data-card-contents-for-user="1459091" type="text/json">{"id":1459091,"first_name":"Farikhah","last_name":"farikhah","domain_name":"independent","page_name":"Farikhahfarikhah","display_name":"Farikhah farikhah","profile_url":"https://independent.academia.edu/Farikhahfarikhah?f_ri=6114","photo":"https://0.academia-photos.com/1459091/521538/7009247/s65_farikhah.farikhah.jpg"}</script></span></span></li><li class="js-paper-rank-work_3706099 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3706099"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3706099, container: ".js-paper-rank-work_3706099", }); });</script></li><li class="js-percentile-work_3706099 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3706099; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3706099"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3706099 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3706099"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3706099; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3706099]").text(description); $(".js-view-count-work_3706099").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3706099").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="3706099"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="17588" href="https://www.academia.edu/Documents/in/Fish_population_genetics">Fish population genetics</a>, <script data-card-contents-for-ri="17588" type="text/json">{"id":17588,"name":"Fish population genetics","url":"https://www.academia.edu/Documents/in/Fish_population_genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="41013" href="https://www.academia.edu/Documents/in/Fish_Genetics">Fish Genetics</a><script data-card-contents-for-ri="41013" type="text/json">{"id":41013,"name":"Fish Genetics","url":"https://www.academia.edu/Documents/in/Fish_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3706099]'), work: {"id":3706099,"title":"Deskripsi Sifat F1 dari Tetua Tidak Unggul Ikan Lele Dumbo (Clarias gariepinus)","created_at":"2013-06-13T19:02:34.462-07:00","url":"https://www.academia.edu/3706099/Deskripsi_Sifat_F1_dari_Tetua_Tidak_Unggul_Ikan_Lele_Dumbo_Clarias_gariepinus_?f_ri=6114","dom_id":"work_3706099","summary":null,"downloadable_attachments":[{"id":31389473,"asset_id":3706099,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1459091,"first_name":"Farikhah","last_name":"farikhah","domain_name":"independent","page_name":"Farikhahfarikhah","display_name":"Farikhah farikhah","profile_url":"https://independent.academia.edu/Farikhahfarikhah?f_ri=6114","photo":"https://0.academia-photos.com/1459091/521538/7009247/s65_farikhah.farikhah.jpg"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":17588,"name":"Fish population genetics","url":"https://www.academia.edu/Documents/in/Fish_population_genetics?f_ri=6114","nofollow":false},{"id":41013,"name":"Fish Genetics","url":"https://www.academia.edu/Documents/in/Fish_Genetics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_12654087" data-work_id="12654087" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/12654087/The_Issue_Of_Genetic_Psychopathy">The Issue Of Genetic Psychopathy</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The paper addresses many important aspects of the issue of genetic psychopathy and the importance of more studies in the area of psychopathy itself. And, the impact of clinical psychopaths upon society as a clear and present danger are... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_12654087" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The paper addresses many important aspects of the issue of genetic psychopathy and the importance of more studies in the area of psychopathy itself. And, the impact of clinical psychopaths upon society as a clear and present danger are also noted within this paper. This is an important work.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/12654087" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="276be53e34f669594859a5ce452b8b29" rel="nofollow" data-download="{"attachment_id":37763088,"asset_id":12654087,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/37763088/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25989737" href="https://independent.academia.edu/RomanPiso">Roman Piso</a><script data-card-contents-for-user="25989737" type="text/json">{"id":25989737,"first_name":"Roman","last_name":"Piso","domain_name":"independent","page_name":"RomanPiso","display_name":"Roman Piso","profile_url":"https://independent.academia.edu/RomanPiso?f_ri=6114","photo":"https://0.academia-photos.com/25989737/7129332/8030951/s65_roman.piso.jpg"}</script></span></span></li><li class="js-paper-rank-work_12654087 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="12654087"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 12654087, container: ".js-paper-rank-work_12654087", }); });</script></li><li class="js-percentile-work_12654087 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 12654087; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_12654087"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_12654087 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="12654087"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 12654087; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=12654087]").text(description); $(".js-view-count-work_12654087").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_12654087").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="12654087"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">25</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="226" href="https://www.academia.edu/Documents/in/Clinical_Psychology">Clinical Psychology</a>, <script data-card-contents-for-ri="226" type="text/json">{"id":226,"name":"Clinical Psychology","url":"https://www.academia.edu/Documents/in/Clinical_Psychology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="248" href="https://www.academia.edu/Documents/in/Social_Psychology">Social Psychology</a><script data-card-contents-for-ri="248" type="text/json">{"id":248,"name":"Social Psychology","url":"https://www.academia.edu/Documents/in/Social_Psychology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=12654087]'), work: {"id":12654087,"title":"The Issue Of Genetic Psychopathy","created_at":"2015-05-28T10:51:17.171-07:00","url":"https://www.academia.edu/12654087/The_Issue_Of_Genetic_Psychopathy?f_ri=6114","dom_id":"work_12654087","summary":"The paper addresses many important aspects of the issue of genetic psychopathy and the importance of more studies in the area of psychopathy itself. And, the impact of clinical psychopaths upon society as a clear and present danger are also noted within this paper. This is an important work.","downloadable_attachments":[{"id":37763088,"asset_id":12654087,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25989737,"first_name":"Roman","last_name":"Piso","domain_name":"independent","page_name":"RomanPiso","display_name":"Roman Piso","profile_url":"https://independent.academia.edu/RomanPiso?f_ri=6114","photo":"https://0.academia-photos.com/25989737/7129332/8030951/s65_roman.piso.jpg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=6114","nofollow":false},{"id":226,"name":"Clinical Psychology","url":"https://www.academia.edu/Documents/in/Clinical_Psychology?f_ri=6114","nofollow":false},{"id":248,"name":"Social Psychology","url":"https://www.academia.edu/Documents/in/Social_Psychology?f_ri=6114","nofollow":false},{"id":767,"name":"Anthropology","url":"https://www.academia.edu/Documents/in/Anthropology?f_ri=6114"},{"id":1026,"name":"Psychophysiology","url":"https://www.academia.edu/Documents/in/Psychophysiology?f_ri=6114"},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":3279,"name":"Psychotherapy and Counseling","url":"https://www.academia.edu/Documents/in/Psychotherapy_and_Counseling?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":8655,"name":"Psychopathology","url":"https://www.academia.edu/Documents/in/Psychopathology?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":14414,"name":"Philosophy of Psychopathology","url":"https://www.academia.edu/Documents/in/Philosophy_of_Psychopathology?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":22237,"name":"Psychopathy","url":"https://www.academia.edu/Documents/in/Psychopathy?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":350437,"name":"Psychopathologie","url":"https://www.academia.edu/Documents/in/Psychopathologie?f_ri=6114"},{"id":619396,"name":"Anthropology of Religion","url":"https://www.academia.edu/Documents/in/Anthropology_of_Religion?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37483349" data-work_id="37483349" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37483349/A_Quote_Of_Holy_Roman_Emperor_Sigismund_odt">A Quote Of Holy Roman Emperor Sigismund.odt</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In order to get to the point where one would understand just what his statement actually meant and referred to, one would have to know much about the true nature of royalty. And, that, is a very complex subject. As I have been explaining... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37483349" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In order to get to the point where one would understand just what his statement actually meant and referred to, one would have to know much about the true nature of royalty. And, that, is a very complex subject. As I have been explaining in other papers, just as we have a 1% today, this same “condition” existed for a very long time – a very long time. And the reason that it had remained so, is because those ancient royal individuals saw to it that it would; by creating many methods and means in which to secure that position for their own kind or 'race' (the condition, is now called 'Royal Supremacy'). [II]<br /><br />What I have been educating people to is the existence of a ancient (unified) royal oligarchy. [III] They saw themselves as a separate race. That's right. A separate 'race'; the royal race. [IV] And, as I had said, this has been so for a very long time. The creation of an 'empire' where even 'officially' and publicly, the leaders of the religious faction helped to secure that position for the elite within that system, was created when the Holy Roman Empire was created (and actually, even before that time). [V]</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37483349" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0be9eb08a78a9225b0667440153e87a3" rel="nofollow" data-download="{"attachment_id":57452973,"asset_id":37483349,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57452973/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25989737" href="https://independent.academia.edu/RomanPiso">Roman Piso</a><script data-card-contents-for-user="25989737" type="text/json">{"id":25989737,"first_name":"Roman","last_name":"Piso","domain_name":"independent","page_name":"RomanPiso","display_name":"Roman Piso","profile_url":"https://independent.academia.edu/RomanPiso?f_ri=6114","photo":"https://0.academia-photos.com/25989737/7129332/8030951/s65_roman.piso.jpg"}</script></span></span></li><li class="js-paper-rank-work_37483349 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37483349"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37483349, container: ".js-paper-rank-work_37483349", }); });</script></li><li class="js-percentile-work_37483349 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37483349; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37483349"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37483349 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37483349"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37483349; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37483349]").text(description); $(".js-view-count-work_37483349").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37483349").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37483349"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="845" href="https://www.academia.edu/Documents/in/Roman_Historiography">Roman Historiography</a>, <script data-card-contents-for-ri="845" type="text/json">{"id":845,"name":"Roman Historiography","url":"https://www.academia.edu/Documents/in/Roman_Historiography?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a>, <script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3029" href="https://www.academia.edu/Documents/in/Medieval_Historiography">Medieval Historiography</a>, <script data-card-contents-for-ri="3029" type="text/json">{"id":3029,"name":"Medieval Historiography","url":"https://www.academia.edu/Documents/in/Medieval_Historiography?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3524" href="https://www.academia.edu/Documents/in/Historiography">Historiography</a><script data-card-contents-for-ri="3524" type="text/json">{"id":3524,"name":"Historiography","url":"https://www.academia.edu/Documents/in/Historiography?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37483349]'), work: {"id":37483349,"title":"A Quote Of Holy Roman Emperor Sigismund.odt","created_at":"2018-09-26T09:31:24.682-07:00","url":"https://www.academia.edu/37483349/A_Quote_Of_Holy_Roman_Emperor_Sigismund_odt?f_ri=6114","dom_id":"work_37483349","summary":"In order to get to the point where one would understand just what his statement actually meant and referred to, one would have to know much about the true nature of royalty. And, that, is a very complex subject. As I have been explaining in other papers, just as we have a 1% today, this same “condition” existed for a very long time – a very long time. And the reason that it had remained so, is because those ancient royal individuals saw to it that it would; by creating many methods and means in which to secure that position for their own kind or 'race' (the condition, is now called 'Royal Supremacy'). [II]\n\nWhat I have been educating people to is the existence of a ancient (unified) royal oligarchy. [III] They saw themselves as a separate race. That's right. A separate 'race'; the royal race. [IV] And, as I had said, this has been so for a very long time. The creation of an 'empire' where even 'officially' and publicly, the leaders of the religious faction helped to secure that position for the elite within that system, was created when the Holy Roman Empire was created (and actually, even before that time). [V]","downloadable_attachments":[{"id":57452973,"asset_id":37483349,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25989737,"first_name":"Roman","last_name":"Piso","domain_name":"independent","page_name":"RomanPiso","display_name":"Roman Piso","profile_url":"https://independent.academia.edu/RomanPiso?f_ri=6114","photo":"https://0.academia-photos.com/25989737/7129332/8030951/s65_roman.piso.jpg"}],"research_interests":[{"id":845,"name":"Roman Historiography","url":"https://www.academia.edu/Documents/in/Roman_Historiography?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":3029,"name":"Medieval Historiography","url":"https://www.academia.edu/Documents/in/Medieval_Historiography?f_ri=6114","nofollow":false},{"id":3524,"name":"Historiography","url":"https://www.academia.edu/Documents/in/Historiography?f_ri=6114","nofollow":false},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":9465,"name":"Philosophy of History","url":"https://www.academia.edu/Documents/in/Philosophy_of_History?f_ri=6114"},{"id":10551,"name":"Ancient Historiography","url":"https://www.academia.edu/Documents/in/Ancient_Historiography?f_ri=6114"},{"id":11245,"name":"History of Roman Catholicism","url":"https://www.academia.edu/Documents/in/History_of_Roman_Catholicism?f_ri=6114"},{"id":11296,"name":"Theory of History","url":"https://www.academia.edu/Documents/in/Theory_of_History?f_ri=6114"},{"id":14183,"name":"Historical Theory","url":"https://www.academia.edu/Documents/in/Historical_Theory?f_ri=6114"},{"id":21938,"name":"History of Historiography","url":"https://www.academia.edu/Documents/in/History_of_Historiography?f_ri=6114"},{"id":29173,"name":"Genetic Genealogy","url":"https://www.academia.edu/Documents/in/Genetic_Genealogy?f_ri=6114"},{"id":40350,"name":"Hayden White","url":"https://www.academia.edu/Documents/in/Hayden_White?f_ri=6114"},{"id":129179,"name":"Genealogical Research","url":"https://www.academia.edu/Documents/in/Genealogical_Research?f_ri=6114"},{"id":158190,"name":"Royal Genealogy","url":"https://www.academia.edu/Documents/in/Royal_Genealogy?f_ri=6114"},{"id":207939,"name":"Historiografia","url":"https://www.academia.edu/Documents/in/Historiografia?f_ri=6114"},{"id":310750,"name":"Genealogy-Family History","url":"https://www.academia.edu/Documents/in/Genealogy-Family_History?f_ri=6114"},{"id":903810,"name":"Scientific Study of Literature","url":"https://www.academia.edu/Documents/in/Scientific_Study_of_Literature?f_ri=6114"},{"id":1003405,"name":"Empirical Study of Literature","url":"https://www.academia.edu/Documents/in/Empirical_Study_of_Literature?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_30732039" data-work_id="30732039" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/30732039/Non_Linear_Mixed_Effect_Models_for_Estimation_of_Growth_Parameters_in_Goats">Non Linear Mixed Effect Models for Estimation of Growth Parameters in Goats</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Modelling growth of an animal is a complex process, because it requires describing longitudinal measurements with few parameters with biological interpretation. With longitudinal data, the variance of observations may increase with time... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_30732039" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Modelling growth of an animal is a complex process, because it requires describing longitudinal measurements with few <br />parameters with biological interpretation. With longitudinal data, the variance of observations may increase with time (age), and <br />repeated measurements of an individual over time are correlated. The non-independence of data violates a key assumption underlying <br />many statistical procedures and has been ignored in most traditional non-linear fixed effect models. A solution to this problem is the <br />use of non-linear mixed effect models (NLMM). A NLMM makes it possible to account for random covariates before testing for <br />fixed effects and control autocorrelation in repeated measures. In this study, growth data of Goat has been used. Attempt has been <br />made to develop the Von-bertalanffy mixed model. Logistic, Gompertz and Von-bertalanffy fixed and mixed models have also been <br />explored for these data. Comparison of the models i.e. between fixed and mixed type of the same model and among different fixed <br />and mixed models has been attempted. The goodness of fit statistics like i.e. Mean Square Error (MSE) and Root Mean Square Error <br />(RMSE) of the fitted models has been computed. The parameters of the best fitted models along with their corresponding standard <br />error are estimated. The performance of mixed effect models was found to be better than the fixed effect model. Specifically, under <br />the category of mixed effect model, the Logistic model out performed over the other types that were considered in the study.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30732039" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ad208b17028be234ee3602621d5e6f6a" rel="nofollow" data-download="{"attachment_id":51179601,"asset_id":30732039,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51179601/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32014909" href="https://iari.academia.edu/PankajDas">Dr. Pankaj Das</a><script data-card-contents-for-user="32014909" type="text/json">{"id":32014909,"first_name":"Dr. Pankaj","last_name":"Das","domain_name":"iari","page_name":"PankajDas","display_name":"Dr. Pankaj Das","profile_url":"https://iari.academia.edu/PankajDas?f_ri=6114","photo":"https://0.academia-photos.com/32014909/9540055/70377101/s65_dr._pankaj.das.jpg"}</script></span></span></li><li class="js-paper-rank-work_30732039 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="30732039"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 30732039, container: ".js-paper-rank-work_30732039", }); });</script></li><li class="js-percentile-work_30732039 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30732039; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_30732039"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_30732039 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="30732039"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30732039; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30732039]").text(description); $(".js-view-count-work_30732039").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_30732039").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="30732039"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="747" href="https://www.academia.edu/Documents/in/Econometrics">Econometrics</a>, <script data-card-contents-for-ri="747" type="text/json">{"id":747,"name":"Econometrics","url":"https://www.academia.edu/Documents/in/Econometrics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3058" href="https://www.academia.edu/Documents/in/Biostatistics">Biostatistics</a>, <script data-card-contents-for-ri="3058" type="text/json">{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a><script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=30732039]'), work: {"id":30732039,"title":"Non Linear Mixed Effect Models for Estimation of Growth Parameters in Goats","created_at":"2017-01-04T05:08:15.259-08:00","url":"https://www.academia.edu/30732039/Non_Linear_Mixed_Effect_Models_for_Estimation_of_Growth_Parameters_in_Goats?f_ri=6114","dom_id":"work_30732039","summary":"Modelling growth of an animal is a complex process, because it requires describing longitudinal measurements with few \nparameters with biological interpretation. With longitudinal data, the variance of observations may increase with time (age), and \nrepeated measurements of an individual over time are correlated. The non-independence of data violates a key assumption underlying \nmany statistical procedures and has been ignored in most traditional non-linear fixed effect models. A solution to this problem is the \nuse of non-linear mixed effect models (NLMM). A NLMM makes it possible to account for random covariates before testing for \nfixed effects and control autocorrelation in repeated measures. In this study, growth data of Goat has been used. Attempt has been \nmade to develop the Von-bertalanffy mixed model. Logistic, Gompertz and Von-bertalanffy fixed and mixed models have also been \nexplored for these data. Comparison of the models i.e. between fixed and mixed type of the same model and among different fixed \nand mixed models has been attempted. The goodness of fit statistics like i.e. Mean Square Error (MSE) and Root Mean Square Error \n(RMSE) of the fitted models has been computed. The parameters of the best fitted models along with their corresponding standard \nerror are estimated. The performance of mixed effect models was found to be better than the fixed effect model. Specifically, under \nthe category of mixed effect model, the Logistic model out performed over the other types that were considered in the study.","downloadable_attachments":[{"id":51179601,"asset_id":30732039,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32014909,"first_name":"Dr. Pankaj","last_name":"Das","domain_name":"iari","page_name":"PankajDas","display_name":"Dr. Pankaj Das","profile_url":"https://iari.academia.edu/PankajDas?f_ri=6114","photo":"https://0.academia-photos.com/32014909/9540055/70377101/s65_dr._pankaj.das.jpg"}],"research_interests":[{"id":747,"name":"Econometrics","url":"https://www.academia.edu/Documents/in/Econometrics?f_ri=6114","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false},{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3643577" data-work_id="3643577" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3643577/El_Estatuto_Biol%C3%B3gico_Y_Ontol%C3%B3gico_Del_Embri%C3%B3n_Humano_El_paradigma_epigen%C3%A9tico_del_siglo_XXI_desde_la_teor%C3%ADa_de_la_esencia_de_Xavier_Zubiri">El Estatuto Biológico Y Ontológico Del Embrión Humano: El paradigma epigenético del siglo XXI desde la teoría de la esencia de Xavier Zubiri</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Esta investigación presenta la propuesta filosófica de Xavier Zubiri como nuevo paradigma desde el que definir el desarrollo orgánico y comprender el dinamismo del embrión preimplantatorio. Además, pone de manifiesto las ambigüedades... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3643577" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Esta investigación presenta la propuesta filosófica de Xavier Zubiri como nuevo paradigma desde el que definir el desarrollo orgánico y comprender el dinamismo del embrión preimplantatorio. Además, pone de manifiesto las ambigüedades terminológicas que acompañan a las explicaciones sobre el hecho biológico en las descripciones científicas y en las reflexiones de carácter interdisciplinar. En la investigación se expone la teoría de la sustantividad y de la esencia de Xavier Zubiri, y se describe minuciosamente el desarrollo del embrión preimplantatorio a la luz de los datos científicos actuales, prestando especial atención a la epigénesis. La investigación muestra que desde el planteamiento zubiriano se puede, por un lado, describir con precisión la imbricación entre lo genético y lo epigenético y, por otro lado, definir, sin perder la unidad del organismo, la noción de desarrollo. Además, se realiza un análisis crítico de las principales posturas sobre el estatus ontológico del embrión humano y se muestra las ventajas de su abordaje desde el prisma zubiriano.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3643577" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5a4d5817fb45c12a78857e5b0166b960" rel="nofollow" data-download="{"attachment_id":31359575,"asset_id":3643577,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31359575/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2432717" href="https://unav.academia.edu/FranciscoG%C3%BCell">Francisco Güell</a><script data-card-contents-for-user="2432717" type="text/json">{"id":2432717,"first_name":"Francisco","last_name":"Güell","domain_name":"unav","page_name":"FranciscoGüell","display_name":"Francisco Güell","profile_url":"https://unav.academia.edu/FranciscoG%C3%BCell?f_ri=6114","photo":"https://0.academia-photos.com/2432717/1813328/2160365/s65_francisco.g_ell.jpg"}</script></span></span></li><li class="js-paper-rank-work_3643577 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3643577"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3643577, container: ".js-paper-rank-work_3643577", }); });</script></li><li class="js-percentile-work_3643577 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3643577; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3643577"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3643577 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3643577"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3643577; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3643577]").text(description); $(".js-view-count-work_3643577").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3643577").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="3643577"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">46</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="804" href="https://www.academia.edu/Documents/in/Metaphysics">Metaphysics</a>, <script data-card-contents-for-ri="804" type="text/json">{"id":804,"name":"Metaphysics","url":"https://www.academia.edu/Documents/in/Metaphysics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="806" href="https://www.academia.edu/Documents/in/Philosophy_of_Mind">Philosophy of Mind</a><script data-card-contents-for-ri="806" type="text/json">{"id":806,"name":"Philosophy of Mind","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3643577]'), work: {"id":3643577,"title":"El Estatuto Biológico Y Ontológico Del Embrión Humano: El paradigma epigenético del siglo XXI desde la teoría de la esencia de Xavier Zubiri","created_at":"2013-06-02T20:39:41.499-07:00","url":"https://www.academia.edu/3643577/El_Estatuto_Biol%C3%B3gico_Y_Ontol%C3%B3gico_Del_Embri%C3%B3n_Humano_El_paradigma_epigen%C3%A9tico_del_siglo_XXI_desde_la_teor%C3%ADa_de_la_esencia_de_Xavier_Zubiri?f_ri=6114","dom_id":"work_3643577","summary":"Esta investigación presenta la propuesta filosófica de Xavier Zubiri como nuevo paradigma desde el que definir el desarrollo orgánico y comprender el dinamismo del embrión preimplantatorio. Además, pone de manifiesto las ambigüedades terminológicas que acompañan a las explicaciones sobre el hecho biológico en las descripciones científicas y en las reflexiones de carácter interdisciplinar. En la investigación se expone la teoría de la sustantividad y de la esencia de Xavier Zubiri, y se describe minuciosamente el desarrollo del embrión preimplantatorio a la luz de los datos científicos actuales, prestando especial atención a la epigénesis. La investigación muestra que desde el planteamiento zubiriano se puede, por un lado, describir con precisión la imbricación entre lo genético y lo epigenético y, por otro lado, definir, sin perder la unidad del organismo, la noción de desarrollo. Además, se realiza un análisis crítico de las principales posturas sobre el estatus ontológico del embrión humano y se muestra las ventajas de su abordaje desde el prisma zubiriano.","downloadable_attachments":[{"id":31359575,"asset_id":3643577,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2432717,"first_name":"Francisco","last_name":"Güell","domain_name":"unav","page_name":"FranciscoGüell","display_name":"Francisco Güell","profile_url":"https://unav.academia.edu/FranciscoG%C3%BCell?f_ri=6114","photo":"https://0.academia-photos.com/2432717/1813328/2160365/s65_francisco.g_ell.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":804,"name":"Metaphysics","url":"https://www.academia.edu/Documents/in/Metaphysics?f_ri=6114","nofollow":false},{"id":806,"name":"Philosophy of Mind","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind?f_ri=6114","nofollow":false},{"id":807,"name":"Philosophy Of Language","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Language?f_ri=6114"},{"id":814,"name":"Ethics","url":"https://www.academia.edu/Documents/in/Ethics?f_ri=6114"},{"id":815,"name":"Epistemology","url":"https://www.academia.edu/Documents/in/Epistemology?f_ri=6114"},{"id":821,"name":"Philosophy of Science","url":"https://www.academia.edu/Documents/in/Philosophy_of_Science?f_ri=6114"},{"id":823,"name":"Philosophy of Biology","url":"https://www.academia.edu/Documents/in/Philosophy_of_Biology?f_ri=6114"},{"id":1410,"name":"Information Theory","url":"https://www.academia.edu/Documents/in/Information_Theory?f_ri=6114"},{"id":3939,"name":"History and Philosophy of Biology","url":"https://www.academia.edu/Documents/in/History_and_Philosophy_of_Biology?f_ri=6114"},{"id":4258,"name":"Embryology","url":"https://www.academia.edu/Documents/in/Embryology?f_ri=6114"},{"id":5044,"name":"Embodiment","url":"https://www.academia.edu/Documents/in/Embodiment?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7125,"name":"Culture","url":"https://www.academia.edu/Documents/in/Culture?f_ri=6114"},{"id":7272,"name":"Social Determinants of Health","url":"https://www.academia.edu/Documents/in/Social_Determinants_of_Health?f_ri=6114"},{"id":7466,"name":"Human Development","url":"https://www.academia.edu/Documents/in/Human_Development?f_ri=6114"},{"id":7634,"name":"Spanish philosophy","url":"https://www.academia.edu/Documents/in/Spanish_philosophy?f_ri=6114"},{"id":7635,"name":"20th Century Spanish philosophy","url":"https://www.academia.edu/Documents/in/20th_Century_Spanish_philosophy?f_ri=6114"},{"id":15088,"name":"Scientific Realism","url":"https://www.academia.edu/Documents/in/Scientific_Realism?f_ri=6114"},{"id":22404,"name":"Epigenetics","url":"https://www.academia.edu/Documents/in/Epigenetics?f_ri=6114"},{"id":24089,"name":"Causality","url":"https://www.academia.edu/Documents/in/Causality?f_ri=6114"},{"id":27855,"name":"Filosofia De Las Ciencias","url":"https://www.academia.edu/Documents/in/Filosofia_De_Las_Ciencias?f_ri=6114"},{"id":27861,"name":"Filosofia De La Biologia","url":"https://www.academia.edu/Documents/in/Filosofia_De_La_Biologia?f_ri=6114"},{"id":29828,"name":"Epigenesis-Preformationism","url":"https://www.academia.edu/Documents/in/Epigenesis-Preformationism?f_ri=6114"},{"id":34623,"name":"Philosophy of information","url":"https://www.academia.edu/Documents/in/Philosophy_of_information?f_ri=6114"},{"id":37849,"name":"Gene-environment interactions","url":"https://www.academia.edu/Documents/in/Gene-environment_interactions?f_ri=6114"},{"id":43162,"name":"Fetal development","url":"https://www.academia.edu/Documents/in/Fetal_development?f_ri=6114"},{"id":49296,"name":"Birth","url":"https://www.academia.edu/Documents/in/Birth?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":61156,"name":"Filosofía de la Ciencia","url":"https://www.academia.edu/Documents/in/Filosof%C3%ADa_de_la_Ciencia?f_ri=6114"},{"id":65644,"name":"Chromatin Remodeling and Epigenetics","url":"https://www.academia.edu/Documents/in/Chromatin_Remodeling_and_Epigenetics?f_ri=6114"},{"id":157637,"name":"Filosofía de las ciencias - Enseñanza de las ciencias","url":"https://www.academia.edu/Documents/in/Filosofia_de_las_ciencias_-_Ensenanza_de_las_ciencias?f_ri=6114"},{"id":165541,"name":"EvoDevo","url":"https://www.academia.edu/Documents/in/EvoDevo?f_ri=6114"},{"id":189816,"name":"Molecular and Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Molecular_and_Genetic_Epidemiology?f_ri=6114"},{"id":192255,"name":"Epigenetics and MicroRNAs","url":"https://www.academia.edu/Documents/in/Epigenetics_and_MicroRNAs?f_ri=6114"},{"id":204458,"name":"Epigenetic","url":"https://www.academia.edu/Documents/in/Epigenetic?f_ri=6114"},{"id":352300,"name":"Embryonic Development","url":"https://www.academia.edu/Documents/in/Embryonic_Development?f_ri=6114"},{"id":353521,"name":"Genetic Information","url":"https://www.academia.edu/Documents/in/Genetic_Information?f_ri=6114"},{"id":573260,"name":"Birth Environment","url":"https://www.academia.edu/Documents/in/Birth_Environment?f_ri=6114"},{"id":596286,"name":"Filosofía De La Biología","url":"https://www.academia.edu/Documents/in/Filosof%C3%ADa_De_La_Biolog%C3%ADa?f_ri=6114"},{"id":634423,"name":"Philosophy and history of science","url":"https://www.academia.edu/Documents/in/Philosophy_and_history_of_science?f_ri=6114"},{"id":644244,"name":"Epigenetica","url":"https://www.academia.edu/Documents/in/Epigenetica?f_ri=6114"},{"id":774059,"name":"Estatuto Del Embrión Humano","url":"https://www.academia.edu/Documents/in/Estatuto_Del_Embrion_Humano?f_ri=6114"},{"id":774059,"name":"Estatuto Del Embrión Humano","url":"https://www.academia.edu/Documents/in/Estatuto_Del_Embrion_Humano?f_ri=6114"},{"id":981702,"name":"Genomics and Epigenetics","url":"https://www.academia.edu/Documents/in/Genomics_and_Epigenetics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_18578107 coauthored" data-work_id="18578107" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/18578107/Comparison_of_methods_to_account_for_relatedness_in_genome_wide_association_studies_with_family_based_data">Comparison of methods to account for relatedness in genome-wide association studies with family-based data.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Approaches based on linear mixed models (LMMs) have recently gained popularity for modelling population substructure and relatedness in genome-wide association studies. In the last few years, a bewildering variety of different LMM... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_18578107" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Approaches based on linear mixed models (LMMs) have recently gained popularity for modelling population substructure and relatedness in genome-wide association studies. In the last few years, a bewildering variety of different LMM methods/software packages have been developed, but it is not always clear how (or indeed whether) any newly-proposed method differs from previously-proposed implementations. Here we compare the performance of several LMM approaches (and software implementations, including EMMAX, GenABEL, FaST-LMM, Mendel, GEMMA and MMM) via their application to a genome-wide association study of visceral leishmaniasis in 348 Brazilian families comprising 3626 individuals (1972 genotyped). The implementations differ in precise details of methodology implemented and through various user-chosen options such as the method and number of SNPs used to estimate the kinship (relatedness) matrix. We investigate sensitivity to these choices and the success (or otherwise) of the approaches in controlling the overall genome-wide error-rate for both real and simulated phenotypes. We compare the LMM results to those obtained using traditional family-based association tests (based on transmission of alleles within pedigrees) and to alternative approaches implemented in the software packages MQLS, ROADTRIPS and MASTOR. We find strong concordance between the results from different LMM approaches, and all are successful in controlling the genome-wide error rate (except for some approaches when applied naively to longitudinal data with many repeated measures). We also find high correlation between LMMs and alternative approaches (apart from transmission-based approaches when applied to SNPs with small or non-existent effects). We conclude that LMM approaches perform well in comparison to competing approaches. Given their strong concordance, in most applications, the choice of precise LMM implementation cannot be based on power/type I error considerations but must instead be based on considerations such as speed and ease-of-use.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/18578107" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0fe4ae0e3ab59682a31bdd40b39aa79e" rel="nofollow" data-download="{"attachment_id":40138445,"asset_id":18578107,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40138445/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32894189" href="https://mahidol.academia.edu/JakrisEuahsunthornwattana">Jakris Eu-ahsunthornwattana</a><script data-card-contents-for-user="32894189" type="text/json">{"id":32894189,"first_name":"Jakris","last_name":"Eu-ahsunthornwattana","domain_name":"mahidol","page_name":"JakrisEuahsunthornwattana","display_name":"Jakris Eu-ahsunthornwattana","profile_url":"https://mahidol.academia.edu/JakrisEuahsunthornwattana?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-18578107">+1</span><div class="hidden js-additional-users-18578107"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/MichaelaFakiola">Michaela Fakiola</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-18578107'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-18578107').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_18578107 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="18578107"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 18578107, container: ".js-paper-rank-work_18578107", }); });</script></li><li class="js-percentile-work_18578107 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18578107; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_18578107"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_18578107 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="18578107"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18578107; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18578107]").text(description); $(".js-view-count-work_18578107").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_18578107").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="18578107"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a><script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=18578107]'), work: {"id":18578107,"title":"Comparison of methods to account for relatedness in genome-wide association studies with family-based data.","created_at":"2015-11-18T05:23:49.758-08:00","url":"https://www.academia.edu/18578107/Comparison_of_methods_to_account_for_relatedness_in_genome_wide_association_studies_with_family_based_data?f_ri=6114","dom_id":"work_18578107","summary":"Approaches based on linear mixed models (LMMs) have recently gained popularity for modelling population substructure and relatedness in genome-wide association studies. In the last few years, a bewildering variety of different LMM methods/software packages have been developed, but it is not always clear how (or indeed whether) any newly-proposed method differs from previously-proposed implementations. Here we compare the performance of several LMM approaches (and software implementations, including EMMAX, GenABEL, FaST-LMM, Mendel, GEMMA and MMM) via their application to a genome-wide association study of visceral leishmaniasis in 348 Brazilian families comprising 3626 individuals (1972 genotyped). The implementations differ in precise details of methodology implemented and through various user-chosen options such as the method and number of SNPs used to estimate the kinship (relatedness) matrix. We investigate sensitivity to these choices and the success (or otherwise) of the approaches in controlling the overall genome-wide error-rate for both real and simulated phenotypes. We compare the LMM results to those obtained using traditional family-based association tests (based on transmission of alleles within pedigrees) and to alternative approaches implemented in the software packages MQLS, ROADTRIPS and MASTOR. We find strong concordance between the results from different LMM approaches, and all are successful in controlling the genome-wide error rate (except for some approaches when applied naively to longitudinal data with many repeated measures). We also find high correlation between LMMs and alternative approaches (apart from transmission-based approaches when applied to SNPs with small or non-existent effects). We conclude that LMM approaches perform well in comparison to competing approaches. Given their strong concordance, in most applications, the choice of precise LMM implementation cannot be based on power/type I error considerations but must instead be based on considerations such as speed and ease-of-use.","downloadable_attachments":[{"id":40138445,"asset_id":18578107,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32894189,"first_name":"Jakris","last_name":"Eu-ahsunthornwattana","domain_name":"mahidol","page_name":"JakrisEuahsunthornwattana","display_name":"Jakris Eu-ahsunthornwattana","profile_url":"https://mahidol.academia.edu/JakrisEuahsunthornwattana?f_ri=6114","photo":"/images/s65_no_pic.png"},{"id":39124346,"first_name":"Michaela","last_name":"Fakiola","domain_name":"independent","page_name":"MichaelaFakiola","display_name":"Michaela Fakiola","profile_url":"https://independent.academia.edu/MichaelaFakiola?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2419614" data-work_id="2419614" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/2419614/PREVENTION_CONTROL_AND_TREATMENT_OF_CANCER_IN_UGANDA">PREVENTION CONTROL AND TREATMENT OF CANCER IN UGANDA</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/2419614" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c0560042f971daaacc17accfdefec84f" rel="nofollow" data-download="{"attachment_id":30447216,"asset_id":2419614,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/30447216/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2946279" href="https://mak.academia.edu/IBRAHIMWADEMBERE">IBRAHIM WADEMBERE</a><script data-card-contents-for-user="2946279" type="text/json">{"id":2946279,"first_name":"IBRAHIM","last_name":"WADEMBERE","domain_name":"mak","page_name":"IBRAHIMWADEMBERE","display_name":"IBRAHIM WADEMBERE","profile_url":"https://mak.academia.edu/IBRAHIMWADEMBERE?f_ri=6114","photo":"https://0.academia-photos.com/2946279/973398/15566149/s65_ibrahim.wadembere.jpg"}</script></span></span></li><li class="js-paper-rank-work_2419614 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2419614"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 2419614, container: ".js-paper-rank-work_2419614", }); });</script></li><li class="js-percentile-work_2419614 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2419614; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_2419614"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_2419614 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="2419614"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2419614; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2419614]").text(description); $(".js-view-count-work_2419614").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_2419614").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="2419614"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">86</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a>, <script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2176" href="https://www.academia.edu/Documents/in/Cancer_survivorship_Health_Sciences_">Cancer survivorship (Health Sciences)</a>, <script data-card-contents-for-ri="2176" type="text/json">{"id":2176,"name":"Cancer survivorship (Health Sciences)","url":"https://www.academia.edu/Documents/in/Cancer_survivorship_Health_Sciences_?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2513" href="https://www.academia.edu/Documents/in/Molecular_Biology">Molecular Biology</a><script data-card-contents-for-ri="2513" type="text/json">{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=2419614]'), work: {"id":2419614,"title":"PREVENTION CONTROL AND TREATMENT OF CANCER IN UGANDA","created_at":"2013-01-17T06:05:30.002-08:00","url":"https://www.academia.edu/2419614/PREVENTION_CONTROL_AND_TREATMENT_OF_CANCER_IN_UGANDA?f_ri=6114","dom_id":"work_2419614","summary":null,"downloadable_attachments":[{"id":30447216,"asset_id":2419614,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2946279,"first_name":"IBRAHIM","last_name":"WADEMBERE","domain_name":"mak","page_name":"IBRAHIMWADEMBERE","display_name":"IBRAHIM WADEMBERE","profile_url":"https://mak.academia.edu/IBRAHIMWADEMBERE?f_ri=6114","photo":"https://0.academia-photos.com/2946279/973398/15566149/s65_ibrahim.wadembere.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":2176,"name":"Cancer survivorship (Health Sciences)","url":"https://www.academia.edu/Documents/in/Cancer_survivorship_Health_Sciences_?f_ri=6114","nofollow":false},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114","nofollow":false},{"id":2736,"name":"Molecular Dynamics Simulation","url":"https://www.academia.edu/Documents/in/Molecular_Dynamics_Simulation?f_ri=6114"},{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114"},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114"},{"id":4217,"name":"Telomere In Cancer Treatment","url":"https://www.academia.edu/Documents/in/Telomere_In_Cancer_Treatment?f_ri=6114"},{"id":4479,"name":"Chronic Pain","url":"https://www.academia.edu/Documents/in/Chronic_Pain?f_ri=6114"},{"id":4482,"name":"Palliative Care","url":"https://www.academia.edu/Documents/in/Palliative_Care?f_ri=6114"},{"id":4581,"name":"Diabetes","url":"https://www.academia.edu/Documents/in/Diabetes?f_ri=6114"},{"id":4600,"name":"Protein Structure Prediction","url":"https://www.academia.edu/Documents/in/Protein_Structure_Prediction?f_ri=6114"},{"id":6021,"name":"Cancer","url":"https://www.academia.edu/Documents/in/Cancer?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6478,"name":"Nutritional Epidemiology","url":"https://www.academia.edu/Documents/in/Nutritional_Epidemiology?f_ri=6114"},{"id":6479,"name":"Cancer Epidemiology","url":"https://www.academia.edu/Documents/in/Cancer_Epidemiology?f_ri=6114"},{"id":6791,"name":"Aging","url":"https://www.academia.edu/Documents/in/Aging?f_ri=6114"},{"id":6802,"name":"Breast Cancer","url":"https://www.academia.edu/Documents/in/Breast_Cancer?f_ri=6114"},{"id":7823,"name":"Malaria","url":"https://www.academia.edu/Documents/in/Malaria?f_ri=6114"},{"id":8218,"name":"Networks","url":"https://www.academia.edu/Documents/in/Networks?f_ri=6114"},{"id":9171,"name":"Computer-Aided Detection and Diagnosis (CAD) for Breast Cancer","url":"https://www.academia.edu/Documents/in/Computer-Aided_Detection_and_Diagnosis_CAD_for_Breast_Cancer?f_ri=6114"},{"id":9334,"name":"Inflammation","url":"https://www.academia.edu/Documents/in/Inflammation?f_ri=6114"},{"id":9786,"name":"Proteomics","url":"https://www.academia.edu/Documents/in/Proteomics?f_ri=6114"},{"id":10027,"name":"Cancer stem cells","url":"https://www.academia.edu/Documents/in/Cancer_stem_cells?f_ri=6114"},{"id":12980,"name":"Prostate Cancer","url":"https://www.academia.edu/Documents/in/Prostate_Cancer?f_ri=6114"},{"id":13828,"name":"Cancer Cell Biology","url":"https://www.academia.edu/Documents/in/Cancer_Cell_Biology?f_ri=6114"},{"id":14195,"name":"Cancer Biology","url":"https://www.academia.edu/Documents/in/Cancer_Biology?f_ri=6114"},{"id":14292,"name":"Oxidative Stress","url":"https://www.academia.edu/Documents/in/Oxidative_Stress?f_ri=6114"},{"id":14360,"name":"Cancer Survivorship","url":"https://www.academia.edu/Documents/in/Cancer_Survivorship?f_ri=6114"},{"id":16749,"name":"Cancer Control","url":"https://www.academia.edu/Documents/in/Cancer_Control?f_ri=6114"},{"id":16765,"name":"Cancer Prevention","url":"https://www.academia.edu/Documents/in/Cancer_Prevention?f_ri=6114"},{"id":17856,"name":"Cell Signaling","url":"https://www.academia.edu/Documents/in/Cell_Signaling?f_ri=6114"},{"id":17960,"name":"Infectious Diseases","url":"https://www.academia.edu/Documents/in/Infectious_Diseases?f_ri=6114"},{"id":22103,"name":"Cancer Immunotherapy","url":"https://www.academia.edu/Documents/in/Cancer_Immunotherapy?f_ri=6114"},{"id":22255,"name":"Cancer Research","url":"https://www.academia.edu/Documents/in/Cancer_Research?f_ri=6114"},{"id":22927,"name":"Chronic illness","url":"https://www.academia.edu/Documents/in/Chronic_illness?f_ri=6114"},{"id":23165,"name":"Brain cancer","url":"https://www.academia.edu/Documents/in/Brain_cancer?f_ri=6114"},{"id":23319,"name":"Ovarian Cancer","url":"https://www.academia.edu/Documents/in/Ovarian_Cancer?f_ri=6114"},{"id":23323,"name":"Transcription Factors","url":"https://www.academia.edu/Documents/in/Transcription_Factors?f_ri=6114"},{"id":24706,"name":"Innate immunity","url":"https://www.academia.edu/Documents/in/Innate_immunity?f_ri=6114"},{"id":24731,"name":"Apoptosis","url":"https://www.academia.edu/Documents/in/Apoptosis?f_ri=6114"},{"id":25699,"name":"Cancer NanoTherapy","url":"https://www.academia.edu/Documents/in/Cancer_NanoTherapy?f_ri=6114"},{"id":26623,"name":"Pancreatic Cancer","url":"https://www.academia.edu/Documents/in/Pancreatic_Cancer?f_ri=6114"},{"id":27170,"name":"Cancer, Stem Cell Biology","url":"https://www.academia.edu/Documents/in/Cancer_Stem_Cell_Biology?f_ri=6114"},{"id":28700,"name":"Medicinal plants for cancer diabetes hypertensive and nutraceutical developments","url":"https://www.academia.edu/Documents/in/Medicinal_plants_for_cancer_diabetes_hypertensive_and_nutraceutical_developments?f_ri=6114"},{"id":29423,"name":"Cancer treatment","url":"https://www.academia.edu/Documents/in/Cancer_treatment?f_ri=6114"},{"id":29425,"name":"Narrative Ethics","url":"https://www.academia.edu/Documents/in/Narrative_Ethics?f_ri=6114"},{"id":30054,"name":"Cervical cancer, its prediction and correlation with socio-economic factors","url":"https://www.academia.edu/Documents/in/Cervical_cancer_its_prediction_and_correlation_with_socio-economic_factors?f_ri=6114"},{"id":32345,"name":"Gynaecological Cancer","url":"https://www.academia.edu/Documents/in/Gynaecological_Cancer?f_ri=6114"},{"id":37292,"name":"Colorectal cancer","url":"https://www.academia.edu/Documents/in/Colorectal_cancer?f_ri=6114"},{"id":37849,"name":"Gene-environment interactions","url":"https://www.academia.edu/Documents/in/Gene-environment_interactions?f_ri=6114"},{"id":40727,"name":"Next generation sequencing","url":"https://www.academia.edu/Documents/in/Next_generation_sequencing?f_ri=6114"},{"id":49044,"name":"Biochemistry and molecular biology,Proteomics and cancer","url":"https://www.academia.edu/Documents/in/Biochemistry_and_molecular_biology_Proteomics_and_cancer?f_ri=6114"},{"id":51369,"name":"Functional Foods","url":"https://www.academia.edu/Documents/in/Functional_Foods?f_ri=6114"},{"id":51698,"name":"Lung Cancer","url":"https://www.academia.edu/Documents/in/Lung_Cancer?f_ri=6114"},{"id":52017,"name":"Magnetic Nanoparticles Used in Cancer Therapy","url":"https://www.academia.edu/Documents/in/Magnetic_Nanoparticles_Used_in_Cancer_Therapy?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":52523,"name":"miRNA","url":"https://www.academia.edu/Documents/in/miRNA?f_ri=6114"},{"id":53606,"name":"Cytogenetics, Cancer Molecular Biology, Apoptosis and Molecular Signaling","url":"https://www.academia.edu/Documents/in/Cytogenetics_Cancer_Molecular_Biology_Apoptosis_and_Molecular_Signaling?f_ri=6114"},{"id":62711,"name":"Cancer Genomics","url":"https://www.academia.edu/Documents/in/Cancer_Genomics?f_ri=6114"},{"id":63449,"name":"P53 , Stem Cells and Colon Cancer","url":"https://www.academia.edu/Documents/in/P53_Stem_Cells_and_Colon_Cancer?f_ri=6114"},{"id":69986,"name":"Oral Cancer Diagnostic and Prognostic Tools","url":"https://www.academia.edu/Documents/in/Oral_Cancer_Diagnostic_and_Prognostic_Tools?f_ri=6114"},{"id":91077,"name":"Cancer Metastasis \u0026 Angiogenesis","url":"https://www.academia.edu/Documents/in/Cancer_Metastasis_and_Angiogenesis?f_ri=6114"},{"id":98549,"name":"Head and Neck Cancer","url":"https://www.academia.edu/Documents/in/Head_and_Neck_Cancer?f_ri=6114"},{"id":111630,"name":"Cancer Screening","url":"https://www.academia.edu/Documents/in/Cancer_Screening?f_ri=6114"},{"id":114369,"name":"Tumour immunology, Cancer Immunotherapy","url":"https://www.academia.edu/Documents/in/Tumour_immunology_Cancer_Immunotherapy?f_ri=6114"},{"id":129937,"name":"Molecular Genetics and Cancer Biology","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_Cancer_Biology?f_ri=6114"},{"id":154986,"name":"Medicinal Mushrooms: Their therapeutic properties and current medical usage with special emphasis on cancer treatments","url":"https://www.academia.edu/Documents/in/Medicinal_Mushrooms_Their_therapeutic_properties_and_current_medical_usage_with_special_emphasis_on?f_ri=6114"},{"id":158839,"name":"Breast Cancer Research","url":"https://www.academia.edu/Documents/in/Breast_Cancer_Research?f_ri=6114"},{"id":189816,"name":"Molecular and Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Molecular_and_Genetic_Epidemiology?f_ri=6114"},{"id":205832,"name":"Cervical Cancer Prevention","url":"https://www.academia.edu/Documents/in/Cervical_Cancer_Prevention?f_ri=6114"},{"id":208179,"name":"Cancer metabolism","url":"https://www.academia.edu/Documents/in/Cancer_metabolism?f_ri=6114"},{"id":209028,"name":"Medicinal Mushrooms: Their Therapeutic Properties and Current Medical Usage with Special Emphasis on Cancer Treatments by Cancer Research UK (the American equivalent to the US National Cancer Institute), 2001.","url":"https://www.academia.edu/Documents/in/Medicinal_Mushrooms_Their_Therapeutic_Properties_and_Current_Medical_Usage_with_Special_Emphasis_on-1?f_ri=6114"},{"id":299629,"name":"Development of anti-cancer Drug","url":"https://www.academia.edu/Documents/in/Development_of_anti-cancer_Drug?f_ri=6114"},{"id":470469,"name":"Biomolecular Modeling","url":"https://www.academia.edu/Documents/in/Biomolecular_Modeling?f_ri=6114"},{"id":474730,"name":"Membrane biochemistry","url":"https://www.academia.edu/Documents/in/Membrane_biochemistry?f_ri=6114"},{"id":931947,"name":"Self assembly of Macromolecules","url":"https://www.academia.edu/Documents/in/Self_assembly_of_Macromolecules?f_ri=6114"},{"id":931948,"name":"Gene expression and regulation","url":"https://www.academia.edu/Documents/in/Gene_expression_and_regulation?f_ri=6114"},{"id":953403,"name":"Diabetes \u0026 Metabolic Syndrome","url":"https://www.academia.edu/Documents/in/Diabetes_and_Metabolic_Syndrome?f_ri=6114"},{"id":981239,"name":"Empathy In Medicine","url":"https://www.academia.edu/Documents/in/Empathy_In_Medicine?f_ri=6114"},{"id":981248,"name":"Technology In Medicine","url":"https://www.academia.edu/Documents/in/Technology_In_Medicine?f_ri=6114"},{"id":981251,"name":"Biobehavioral Approaches to Pain","url":"https://www.academia.edu/Documents/in/Biobehavioral_Approaches_to_Pain?f_ri=6114"},{"id":981253,"name":"Lifecourse Perspectives on Pain","url":"https://www.academia.edu/Documents/in/Lifecourse_Perspectives_on_Pain?f_ri=6114"},{"id":981255,"name":"Upper Aerodigestive Tract Cancers","url":"https://www.academia.edu/Documents/in/Upper_Aerodigestive_Tract_Cancers?f_ri=6114"},{"id":981702,"name":"Genomics and Epigenetics","url":"https://www.academia.edu/Documents/in/Genomics_and_Epigenetics?f_ri=6114"},{"id":982368,"name":"Trace Minerals Nutrition","url":"https://www.academia.edu/Documents/in/Trace_Minerals_Nutrition?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56981828" data-work_id="56981828" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56981828/Common_genetic_variants_associated_with_cognitive_performance_identified_using_the_proxy_phenotype_method">Common genetic variants associated with cognitive performance identified using the proxy-phenotype method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56981828" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated SNPs. Second, using independent samples (n = 24,189), we measure the association of these education-associated SNPs with cognitive performance. Three SNPs (rs1487441, rs7923609, and rs2721173) are significantly associated with cognitive performance after correction for multiple hypothesis testing. In an independent sample of older Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SNPs is associated with memory and absence of dementia. Convergent evidence from a set of bioinformatics analyses implicates four specific genes (KNCMA1, NRXN1, POU2F3, and SCRT). All of these genes are associated with a particular neurotransmitter pathway involved ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56981828" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="45ea0304c3fb6bc33c6ac4b35bde13e4" rel="nofollow" data-download="{"attachment_id":72101856,"asset_id":56981828,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72101856/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13199486" href="https://independent.academia.edu/PhilippKoellinger">Philipp Koellinger</a><script data-card-contents-for-user="13199486" type="text/json">{"id":13199486,"first_name":"Philipp","last_name":"Koellinger","domain_name":"independent","page_name":"PhilippKoellinger","display_name":"Philipp Koellinger","profile_url":"https://independent.academia.edu/PhilippKoellinger?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_56981828 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56981828"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56981828, container: ".js-paper-rank-work_56981828", }); });</script></li><li class="js-percentile-work_56981828 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56981828; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_56981828"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_56981828 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="56981828"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56981828; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56981828]").text(description); $(".js-view-count-work_56981828").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_56981828").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="56981828"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2674" href="https://www.academia.edu/Documents/in/Intelligence">Intelligence</a>, <script data-card-contents-for-ri="2674" type="text/json">{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a>, <script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7590" href="https://www.academia.edu/Documents/in/Behavior_Genetics">Behavior Genetics</a><script data-card-contents-for-ri="7590" type="text/json">{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56981828]'), work: {"id":56981828,"title":"Common genetic variants associated with cognitive performance identified using the proxy-phenotype method","created_at":"2021-10-10T12:18:33.523-07:00","url":"https://www.academia.edu/56981828/Common_genetic_variants_associated_with_cognitive_performance_identified_using_the_proxy_phenotype_method?f_ri=6114","dom_id":"work_56981828","summary":"We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated SNPs. Second, using independent samples (n = 24,189), we measure the association of these education-associated SNPs with cognitive performance. Three SNPs (rs1487441, rs7923609, and rs2721173) are significantly associated with cognitive performance after correction for multiple hypothesis testing. In an independent sample of older Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SNPs is associated with memory and absence of dementia. Convergent evidence from a set of bioinformatics analyses implicates four specific genes (KNCMA1, NRXN1, POU2F3, and SCRT). All of these genes are associated with a particular neurotransmitter pathway involved ...","downloadable_attachments":[{"id":72101856,"asset_id":56981828,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13199486,"first_name":"Philipp","last_name":"Koellinger","domain_name":"independent","page_name":"PhilippKoellinger","display_name":"Philipp Koellinger","profile_url":"https://independent.academia.edu/PhilippKoellinger?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning?f_ri=6114"},{"id":46858,"name":"Memory","url":"https://www.academia.edu/Documents/in/Memory?f_ri=6114"},{"id":129917,"name":"Human Behavioral Genetics","url":"https://www.academia.edu/Documents/in/Human_Behavioral_Genetics?f_ri=6114"},{"id":132020,"name":"Neuronal Plasticity","url":"https://www.academia.edu/Documents/in/Neuronal_Plasticity?f_ri=6114"},{"id":176503,"name":"Synaptic Transmission","url":"https://www.academia.edu/Documents/in/Synaptic_Transmission?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36645361" data-work_id="36645361" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36645361/The_logic_of_uncertainty_as_a_logic_of_experience_and_chance_and_the_co_event_based_Bayes_theorem_arXiv_org_version_">The logic of uncertainty as a logic of experience and chance and the co∼event-based Bayes' theorem (arXiv.org version)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The logic of uncertainty is not the logic of experience and as well as it is not the logic of chance. It is the logic of experience and chance. Experience and chance are two inseparable poles. These are two dual reflections of one... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36645361" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The logic of uncertainty is not the logic of experience and as well as it is not the logic of chance. It is the logic of experience and chance. Experience and chance are two inseparable poles. These are two dual reflections of one essence, which is called co∼event. The theory of experience and chance is the theory of co∼events. To study the co∼events, it is not enough to study the experience and to study the chance. For this, it is necessary to study the experience and chance as a single entire, a co∼event. In other words, it is necessary to study their interaction within a co∼event. The new co∼event axiomatics and the theory of co∼events following from it were created precisely for these purposes. In this work, I am going to demonstrate the effectiveness of the new theory of co∼events in a studying the logic of uncertainty. I will do this by the example of a co∼event splitting of the logic of the Bayesian scheme, which has a long history of fierce debates between Bayesionists and frequentists. I hope the logic of the theory of experience and chance will make its modest contribution to the application of these old dual debaters. <br /><br />Keywords: Eventology, event, probability, probability theory, Kolmogorov’s axiomatics, experience, chance, cause, consequence, co∼event, set of co∼events, bra-event, set of bra-events, ket-event, set of ket-events, believability, certainty, believability theory, certainty theory, theory of co∼events, theory of experience and chance, co∼event dualism, co∼event axiomatics, logic of uncertainty, logic of experience and chance, logic of cause and consequence, logic of the past and the future, Bayesian scheme.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36645361" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b15777bddc28954465f5e9ded383a6cf" rel="nofollow" data-download="{"attachment_id":58941044,"asset_id":36645361,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58941044/download_file?st=MTczMjcwODkyNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38890" href="https://sfu-kras.academia.edu/OlegVorobyev">Oleg Yu Vorobyev</a><script data-card-contents-for-user="38890" type="text/json">{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}</script></span></span></li><li class="js-paper-rank-work_36645361 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36645361"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36645361, container: ".js-paper-rank-work_36645361", }); });</script></li><li class="js-percentile-work_36645361 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 36645361; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_36645361"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_36645361 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="36645361"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 36645361; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=36645361]").text(description); $(".js-view-count-work_36645361").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36645361").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36645361"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">157</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="307" href="https://www.academia.edu/Documents/in/Mathematical_Statistics">Mathematical Statistics</a>, <script data-card-contents-for-ri="307" type="text/json">{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="344" href="https://www.academia.edu/Documents/in/Probability_Theory">Probability Theory</a>, <script data-card-contents-for-ri="344" type="text/json">{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="444" href="https://www.academia.edu/Documents/in/Quantum_Computing">Quantum Computing</a>, <script data-card-contents-for-ri="444" type="text/json">{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="518" href="https://www.academia.edu/Documents/in/Quantum_Physics">Quantum Physics</a><script data-card-contents-for-ri="518" type="text/json">{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36645361]'), work: {"id":36645361,"title":"The logic of uncertainty as a logic of experience and chance and the co∼event-based Bayes' theorem (arXiv.org version)","created_at":"2018-05-15T21:25:25.375-07:00","url":"https://www.academia.edu/36645361/The_logic_of_uncertainty_as_a_logic_of_experience_and_chance_and_the_co_event_based_Bayes_theorem_arXiv_org_version_?f_ri=6114","dom_id":"work_36645361","summary":"The logic of uncertainty is not the logic of experience and as well as it is not the logic of chance. It is the logic of experience and chance. Experience and chance are two inseparable poles. These are two dual reflections of one essence, which is called co∼event. The theory of experience and chance is the theory of co∼events. To study the co∼events, it is not enough to study the experience and to study the chance. For this, it is necessary to study the experience and chance as a single entire, a co∼event. In other words, it is necessary to study their interaction within a co∼event. The new co∼event axiomatics and the theory of co∼events following from it were created precisely for these purposes. In this work, I am going to demonstrate the effectiveness of the new theory of co∼events in a studying the logic of uncertainty. I will do this by the example of a co∼event splitting of the logic of the Bayesian scheme, which has a long history of fierce debates between Bayesionists and frequentists. I hope the logic of the theory of experience and chance will make its modest contribution to the application of these old dual debaters. \n\nKeywords: Eventology, event, probability, probability theory, Kolmogorov’s axiomatics, experience, chance, cause, consequence, co∼event, set of co∼events, bra-event, set of bra-events, ket-event, set of ket-events, believability, certainty, believability theory, certainty theory, theory of co∼events, theory of experience and chance, co∼event dualism, co∼event axiomatics, logic of uncertainty, logic of experience and chance, logic of cause and consequence, logic of the past and the future, Bayesian scheme.","downloadable_attachments":[{"id":58941044,"asset_id":36645361,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}],"research_interests":[{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false},{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false},{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false},{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114"},{"id":529,"name":"Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Quantum_Chemistry?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":1117,"name":"Voting Behavior","url":"https://www.academia.edu/Documents/in/Voting_Behavior?f_ri=6114"},{"id":1247,"name":"Quantum Gravity","url":"https://www.academia.edu/Documents/in/Quantum_Gravity?f_ri=6114"},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":1992,"name":"Quantum Optics","url":"https://www.academia.edu/Documents/in/Quantum_Optics?f_ri=6114"},{"id":2445,"name":"Statistical Signal Processing","url":"https://www.academia.edu/Documents/in/Statistical_Signal_Processing?f_ri=6114"},{"id":2560,"name":"Probabilistic Networks","url":"https://www.academia.edu/Documents/in/Probabilistic_Networks?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=6114"},{"id":2713,"name":"Quantum Electrodynamics","url":"https://www.academia.edu/Documents/in/Quantum_Electrodynamics?f_ri=6114"},{"id":2790,"name":"Electronic Voting","url":"https://www.academia.edu/Documents/in/Electronic_Voting?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":3396,"name":"Foundations of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Foundations_of_Quantum_Mechanics?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=6114"},{"id":4199,"name":"Quantum Information Processing","url":"https://www.academia.edu/Documents/in/Quantum_Information_Processing?f_ri=6114"},{"id":4384,"name":"Medical Statistics","url":"https://www.academia.edu/Documents/in/Medical_Statistics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4886,"name":"Meta-Analysis (Statistics)","url":"https://www.academia.edu/Documents/in/Meta-Analysis_Statistics_?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5394,"name":"Fuzzy set theory","url":"https://www.academia.edu/Documents/in/Fuzzy_set_theory?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6144,"name":"Fuzzy Logic Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Control?f_ri=6114"},{"id":6811,"name":"Quantum Theory","url":"https://www.academia.edu/Documents/in/Quantum_Theory?f_ri=6114"},{"id":6813,"name":"Quantum Cosmology","url":"https://www.academia.edu/Documents/in/Quantum_Cosmology?f_ri=6114"},{"id":6879,"name":"Fuzzy rule-based modeling","url":"https://www.academia.edu/Documents/in/Fuzzy_rule-based_modeling?f_ri=6114"},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=6114"},{"id":9739,"name":"Probabilistic Markov Modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_Markov_Modeling?f_ri=6114"},{"id":9796,"name":"Philosophy Of Probability","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Probability?f_ri=6114"},{"id":10092,"name":"Quantum Field Theory","url":"https://www.academia.edu/Documents/in/Quantum_Field_Theory?f_ri=6114"},{"id":10182,"name":"Fuzzy Sets","url":"https://www.academia.edu/Documents/in/Fuzzy_Sets?f_ri=6114"},{"id":10685,"name":"Fuzzy Expert System","url":"https://www.academia.edu/Documents/in/Fuzzy_Expert_System?f_ri=6114"},{"id":11373,"name":"Sports Statistics","url":"https://www.academia.edu/Documents/in/Sports_Statistics?f_ri=6114"},{"id":12853,"name":"Robust Statistics","url":"https://www.academia.edu/Documents/in/Robust_Statistics?f_ri=6114"},{"id":12884,"name":"Brain behavior from statistical analysis of eeg signals","url":"https://www.academia.edu/Documents/in/Brain_behavior_from_statistical_analysis_of_eeg_signals?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":15044,"name":"Bootstrap (Statistics)","url":"https://www.academia.edu/Documents/in/Bootstrap_Statistics_?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":15550,"name":"Statistical Probability","url":"https://www.academia.edu/Documents/in/Statistical_Probability?f_ri=6114"},{"id":16103,"name":"Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_Systems?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":16585,"name":"Quantum Cryptography","url":"https://www.academia.edu/Documents/in/Quantum_Cryptography?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17553,"name":"Statistical Machine Translation","url":"https://www.academia.edu/Documents/in/Statistical_Machine_Translation?f_ri=6114"},{"id":18420,"name":"Philosophy of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Philosophy_of_Quantum_Mechanics?f_ri=6114"},{"id":20324,"name":"Voting Theory","url":"https://www.academia.edu/Documents/in/Voting_Theory?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":25955,"name":"Emergent Quantum Gravity","url":"https://www.academia.edu/Documents/in/Emergent_Quantum_Gravity?f_ri=6114"},{"id":26691,"name":"Statistical Process Control","url":"https://www.academia.edu/Documents/in/Statistical_Process_Control?f_ri=6114"},{"id":26957,"name":"Statistical Modelling","url":"https://www.academia.edu/Documents/in/Statistical_Modelling?f_ri=6114"},{"id":27371,"name":"Statistical Thermodynamics","url":"https://www.academia.edu/Documents/in/Statistical_Thermodynamics?f_ri=6114"},{"id":27550,"name":"History of Statistics and Statistical Agencies","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Statistical_Agencies?f_ri=6114"},{"id":27770,"name":"Statistics education (Education)","url":"https://www.academia.edu/Documents/in/Statistics_education_Education_?f_ri=6114"},{"id":27926,"name":"Statistical Methods in Archaeology","url":"https://www.academia.edu/Documents/in/Statistical_Methods_in_Archaeology?f_ri=6114"},{"id":28422,"name":"Quantum Computation","url":"https://www.academia.edu/Documents/in/Quantum_Computation?f_ri=6114"},{"id":28545,"name":"Loop Quantum Gravity","url":"https://www.academia.edu/Documents/in/Loop_Quantum_Gravity?f_ri=6114"},{"id":30006,"name":"Voting","url":"https://www.academia.edu/Documents/in/Voting?f_ri=6114"},{"id":30936,"name":"Elections and Voting Behavior","url":"https://www.academia.edu/Documents/in/Elections_and_Voting_Behavior?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":31812,"name":"Fuzzy Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Control?f_ri=6114"},{"id":31826,"name":"Sampling (Mathematical Statistics)","url":"https://www.academia.edu/Documents/in/Sampling_Mathematical_Statistics_?f_ri=6114"},{"id":31900,"name":"Fuzzy","url":"https://www.academia.edu/Documents/in/Fuzzy?f_ri=6114"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability?f_ri=6114"},{"id":33479,"name":"Statistical Hydrology","url":"https://www.academia.edu/Documents/in/Statistical_Hydrology?f_ri=6114"},{"id":35966,"name":"Statistical Design of Experiment (DoE)","url":"https://www.academia.edu/Documents/in/Statistical_Design_of_Experiment_DoE_?f_ri=6114"},{"id":37305,"name":"Statistical Quality Control","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control?f_ri=6114"},{"id":38246,"name":"Statistical Learning","url":"https://www.academia.edu/Documents/in/Statistical_Learning?f_ri=6114"},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=6114"},{"id":39699,"name":"Probabilistic Graphical Models","url":"https://www.academia.edu/Documents/in/Probabilistic_Graphical_Models?f_ri=6114"},{"id":40174,"name":"Business statistics","url":"https://www.academia.edu/Documents/in/Business_statistics?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41815,"name":"Applied Probability","url":"https://www.academia.edu/Documents/in/Applied_Probability?f_ri=6114"},{"id":43591,"name":"Quantum entanglement","url":"https://www.academia.edu/Documents/in/Quantum_entanglement?f_ri=6114"},{"id":48317,"name":"Quantum Dots","url":"https://www.academia.edu/Documents/in/Quantum_Dots?f_ri=6114"},{"id":48641,"name":"Applied Bayesian Statistics","url":"https://www.academia.edu/Documents/in/Applied_Bayesian_Statistics?f_ri=6114"},{"id":51105,"name":"Official Statistics","url":"https://www.academia.edu/Documents/in/Official_Statistics?f_ri=6114"},{"id":53553,"name":"Fuzzy and Neuro-Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_and_Neuro-Fuzzy_Systems?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":55333,"name":"Teaching and Learning of Statistics","url":"https://www.academia.edu/Documents/in/Teaching_and_Learning_of_Statistics?f_ri=6114"},{"id":59959,"name":"Research methods and Statistics","url":"https://www.academia.edu/Documents/in/Research_methods_and_Statistics?f_ri=6114"},{"id":62225,"name":"Fuzzy Logic Programming","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Programming?f_ri=6114"},{"id":64346,"name":"History of statistics","url":"https://www.academia.edu/Documents/in/History_of_statistics?f_ri=6114"},{"id":65543,"name":"Quantum Information Theory","url":"https://www.academia.edu/Documents/in/Quantum_Information_Theory?f_ri=6114"},{"id":67959,"name":"Probability Distribution \u0026 Applications","url":"https://www.academia.edu/Documents/in/Probability_Distribution_and_Applications?f_ri=6114"},{"id":67968,"name":"Statistical Inference","url":"https://www.academia.edu/Documents/in/Statistical_Inference?f_ri=6114"},{"id":73837,"name":"Fuzzy Cognitive Maps","url":"https://www.academia.edu/Documents/in/Fuzzy_Cognitive_Maps?f_ri=6114"},{"id":74740,"name":"Fuzzy Topology","url":"https://www.academia.edu/Documents/in/Fuzzy_Topology?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":85362,"name":"Descriptive Statistics","url":"https://www.academia.edu/Documents/in/Descriptive_Statistics?f_ri=6114"},{"id":88587,"name":"Quantum Biology","url":"https://www.academia.edu/Documents/in/Quantum_Biology?f_ri=6114"},{"id":94117,"name":"Basic Statistics","url":"https://www.academia.edu/Documents/in/Basic_Statistics?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":100094,"name":"Bayesian statistics","url":"https://www.academia.edu/Documents/in/Bayesian_statistics?f_ri=6114"},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=6114"},{"id":122945,"name":"Fuzzy Mathematics","url":"https://www.academia.edu/Documents/in/Fuzzy_Mathematics?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":129810,"name":"Experimental Research Design and Statistical Data Analysis","url":"https://www.academia.edu/Documents/in/Experimental_Research_Design_and_Statistical_Data_Analysis?f_ri=6114"},{"id":131732,"name":"Voting Systems","url":"https://www.academia.edu/Documents/in/Voting_Systems?f_ri=6114"},{"id":148631,"name":"Computational Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Computational_Quantum_Chemistry?f_ri=6114"},{"id":152694,"name":"Statistical Methods","url":"https://www.academia.edu/Documents/in/Statistical_Methods?f_ri=6114"},{"id":159337,"name":"Compulsory Voting","url":"https://www.academia.edu/Documents/in/Compulsory_Voting?f_ri=6114"},{"id":162763,"name":"Probability Sampling","url":"https://www.academia.edu/Documents/in/Probability_Sampling?f_ri=6114"},{"id":178403,"name":"Probabilistic reasoning","url":"https://www.academia.edu/Documents/in/Probabilistic_reasoning?f_ri=6114"},{"id":188474,"name":"Applied Statistics and Statistical Modelling","url":"https://www.academia.edu/Documents/in/Applied_Statistics_and_Statistical_Modelling?f_ri=6114"},{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114"},{"id":230995,"name":"Crime Statistics","url":"https://www.academia.edu/Documents/in/Crime_Statistics?f_ri=6114"},{"id":241338,"name":"Fuzzy Logic and Its Application","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_and_Its_Application?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":273724,"name":"Statistics and Mathematics","url":"https://www.academia.edu/Documents/in/Statistics_and_Mathematics?f_ri=6114"},{"id":277776,"name":"Quantum and classical statistical mechanics","url":"https://www.academia.edu/Documents/in/Quantum_and_classical_statistical_mechanics?f_ri=6114"},{"id":315908,"name":"Probability distributions to model air pollutant data","url":"https://www.academia.edu/Documents/in/Probability_distributions_to_model_air_pollutant_data?f_ri=6114"},{"id":328408,"name":"Agrofood Economics and Statistics","url":"https://www.academia.edu/Documents/in/Agrofood_Economics_and_Statistics?f_ri=6114"},{"id":343413,"name":"Applied Probability and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Probability_and_Statistics?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":420825,"name":"Manual -en español- IBM SPSS Statistics Base 20","url":"https://www.academia.edu/Documents/in/Manual_-en_espanol-_IBM_SPSS_Statistics_Base_20?f_ri=6114"},{"id":463912,"name":"Probabilidade e Estatística","url":"https://www.academia.edu/Documents/in/Probabilidade_e_Estatistica?f_ri=6114"},{"id":467682,"name":"Fuzzy Logic Controller","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Controller?f_ri=6114"},{"id":516330,"name":"Psychological Statistics","url":"https://www.academia.edu/Documents/in/Psychological_Statistics?f_ri=6114"},{"id":534154,"name":"Statistik","url":"https://www.academia.edu/Documents/in/Statistik?f_ri=6114"},{"id":571797,"name":"Introduction to Probability","url":"https://www.academia.edu/Documents/in/Introduction_to_Probability?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":582439,"name":"History of Statistics and Probability","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Probability?f_ri=6114"},{"id":617848,"name":"Intuitionistic fuzzy sets","url":"https://www.academia.edu/Documents/in/Intuitionistic_fuzzy_sets?f_ri=6114"},{"id":618122,"name":"Quantum physics and the Law of Attraction","url":"https://www.academia.edu/Documents/in/Quantum_physics_and_the_Law_of_Attraction?f_ri=6114"},{"id":642996,"name":"Fuzzy Set","url":"https://www.academia.edu/Documents/in/Fuzzy_Set?f_ri=6114"},{"id":653891,"name":"Probabilistic risk modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_risk_modeling?f_ri=6114"},{"id":659228,"name":"Quantum Computing and Information","url":"https://www.academia.edu/Documents/in/Quantum_Computing_and_Information?f_ri=6114"},{"id":674235,"name":"Combinatorics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Combinatorics_and_Statistics?f_ri=6114"},{"id":740018,"name":"Secure Electronic Voting","url":"https://www.academia.edu/Documents/in/Secure_Electronic_Voting?f_ri=6114"},{"id":807335,"name":"Fuzzy Inference System","url":"https://www.academia.edu/Documents/in/Fuzzy_Inference_System?f_ri=6114"},{"id":821707,"name":"Statistika","url":"https://www.academia.edu/Documents/in/Statistika?f_ri=6114"},{"id":849389,"name":"Probabilidad","url":"https://www.academia.edu/Documents/in/Probabilidad?f_ri=6114"},{"id":853315,"name":"Calculo De Probabilidades","url":"https://www.academia.edu/Documents/in/Calculo_De_Probabilidades?f_ri=6114"},{"id":872399,"name":"Probability Density Function","url":"https://www.academia.edu/Documents/in/Probability_Density_Function?f_ri=6114"},{"id":914866,"name":"Calculus of Voting","url":"https://www.academia.edu/Documents/in/Calculus_of_Voting?f_ri=6114"},{"id":976616,"name":"Statistical Computing In R","url":"https://www.academia.edu/Documents/in/Statistical_Computing_In_R?f_ri=6114"},{"id":991025,"name":"Economics and Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics-1?f_ri=6114"},{"id":992306,"name":"Topological Quantum Computing","url":"https://www.academia.edu/Documents/in/Topological_Quantum_Computing?f_ri=6114"},{"id":1007285,"name":"Probability Theory and Statistics","url":"https://www.academia.edu/Documents/in/Probability_Theory_and_Statistics?f_ri=6114"},{"id":1023349,"name":"Fuzzy Image Modeling","url":"https://www.academia.edu/Documents/in/Fuzzy_Image_Modeling?f_ri=6114"},{"id":1115400,"name":"Quantum Teaching Strategy on teaching English as Foreign Language","url":"https://www.academia.edu/Documents/in/Quantum_Teaching_Strategy_on_teaching_English_as_Foreign_Language?f_ri=6114"},{"id":1279852,"name":"Lista de formulas de probabilidade e estatistica.","url":"https://www.academia.edu/Documents/in/Lista_de_formulas_de_probabilidade_e_estatistica?f_ri=6114"},{"id":1361680,"name":"Statistika dan Probabilitas","url":"https://www.academia.edu/Documents/in/Statistika_dan_Probabilitas?f_ri=6114"},{"id":1393524,"name":"Non-Hermitian Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Non-Hermitian_Quantum_Mechanics?f_ri=6114"},{"id":1733909,"name":"Of Statistics","url":"https://www.academia.edu/Documents/in/Of_Statistics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36957730" data-work_id="36957730" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36957730/Proceedings_of_the_XVI_FAMEMS2017_Conference_and_the_II_Hilberts_Sixth_Problem_Workshop_Krasnoyarsk_SFU_162p">Proceedings of the XVI FAMEMS'2017 Conference and the II Hilbert's Sixth Problem Workshop, Krasnoyarsk: SFU, 162p.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Eventology of multivariate statistics Eventology and mathematical eventology Philosophical eventology and philosophy of probability Practical eventology Eventology of safety Eventological economics and psychology Mathematics in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36957730" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Eventology of multivariate statistics<br />Eventology and mathematical eventology<br />Philosophical eventology and philosophy of probability<br />Practical eventology<br />Eventology of safety<br />Eventological economics and psychology<br />Mathematics in the humanities, socio-economic and natural sciences<br />Financial and actuarial mathematics<br />Multivariate statistical analysis<br />Multivariate complex analysis<br />Decision-making under risk and uncertainty<br />Risk measurement and risk models<br />Theory of fuzzy events and generalized theory of uncertainty<br />System analysis and events management<br /><br />EEC'2016 ~ workshop on axiomatizing experience and chance, and Hilbert's sixth problem<br /><br />With topics from quantum physics, probability and believability to economics, sociology and psychology, the workshop will be intended for an interdisciplinary discussion on mathematical theories of experience and chance. Topics of discussion include the results, thoughts and ideas on axiomatization of the eventological theory of experience and chance in the framework of the decision of Hilbert sixth problem. <br />Eventology of experience and chance<br />Beleivability theory and statistics of experience<br />Probability theory and statistics of chance<br />Axiomatizing experience and chance</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36957730" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a16bc389db3571334ad465e4cd648242" rel="nofollow" data-download="{"attachment_id":58563699,"asset_id":36957730,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58563699/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38890" href="https://sfu-kras.academia.edu/OlegVorobyev">Oleg Yu Vorobyev</a><script data-card-contents-for-user="38890" type="text/json">{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}</script></span></span></li><li class="js-paper-rank-work_36957730 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36957730"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36957730, container: ".js-paper-rank-work_36957730", }); });</script></li><li class="js-percentile-work_36957730 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 36957730; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_36957730"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_36957730 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="36957730"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 36957730; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=36957730]").text(description); $(".js-view-count-work_36957730").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36957730").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36957730"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">172</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="307" href="https://www.academia.edu/Documents/in/Mathematical_Statistics">Mathematical Statistics</a>, <script data-card-contents-for-ri="307" type="text/json">{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="344" href="https://www.academia.edu/Documents/in/Probability_Theory">Probability Theory</a>, <script data-card-contents-for-ri="344" type="text/json">{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="444" href="https://www.academia.edu/Documents/in/Quantum_Computing">Quantum Computing</a>, <script data-card-contents-for-ri="444" type="text/json">{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="518" href="https://www.academia.edu/Documents/in/Quantum_Physics">Quantum Physics</a><script data-card-contents-for-ri="518" type="text/json">{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36957730]'), work: {"id":36957730,"title":"Proceedings of the XVI FAMEMS'2017 Conference and the II Hilbert's Sixth Problem Workshop, Krasnoyarsk: SFU, 162p.","created_at":"2018-07-02T02:31:47.902-07:00","url":"https://www.academia.edu/36957730/Proceedings_of_the_XVI_FAMEMS2017_Conference_and_the_II_Hilberts_Sixth_Problem_Workshop_Krasnoyarsk_SFU_162p?f_ri=6114","dom_id":"work_36957730","summary":"Eventology of multivariate statistics\nEventology and mathematical eventology\nPhilosophical eventology and philosophy of probability\nPractical eventology\nEventology of safety\nEventological economics and psychology\nMathematics in the humanities, socio-economic and natural sciences\nFinancial and actuarial mathematics\nMultivariate statistical analysis\nMultivariate complex analysis\nDecision-making under risk and uncertainty\nRisk measurement and risk models\nTheory of fuzzy events and generalized theory of uncertainty\nSystem analysis and events management\n\nEEC'2016 ~ workshop on axiomatizing experience and chance, and Hilbert's sixth problem\n\nWith topics from quantum physics, probability and believability to economics, sociology and psychology, the workshop will be intended for an interdisciplinary discussion on mathematical theories of experience and chance. Topics of discussion include the results, thoughts and ideas on axiomatization of the eventological theory of experience and chance in the framework of the decision of Hilbert sixth problem. \nEventology of experience and chance\nBeleivability theory and statistics of experience\nProbability theory and statistics of chance\nAxiomatizing experience and chance","downloadable_attachments":[{"id":58563699,"asset_id":36957730,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}],"research_interests":[{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false},{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false},{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false},{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114"},{"id":529,"name":"Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Quantum_Chemistry?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":1247,"name":"Quantum Gravity","url":"https://www.academia.edu/Documents/in/Quantum_Gravity?f_ri=6114"},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":1992,"name":"Quantum Optics","url":"https://www.academia.edu/Documents/in/Quantum_Optics?f_ri=6114"},{"id":2445,"name":"Statistical Signal Processing","url":"https://www.academia.edu/Documents/in/Statistical_Signal_Processing?f_ri=6114"},{"id":2560,"name":"Probabilistic Networks","url":"https://www.academia.edu/Documents/in/Probabilistic_Networks?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=6114"},{"id":2713,"name":"Quantum Electrodynamics","url":"https://www.academia.edu/Documents/in/Quantum_Electrodynamics?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":3244,"name":"Bayesian","url":"https://www.academia.edu/Documents/in/Bayesian?f_ri=6114"},{"id":3396,"name":"Foundations of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Foundations_of_Quantum_Mechanics?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4061,"name":"Theoretical Statistics","url":"https://www.academia.edu/Documents/in/Theoretical_Statistics?f_ri=6114"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=6114"},{"id":4384,"name":"Medical Statistics","url":"https://www.academia.edu/Documents/in/Medical_Statistics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4886,"name":"Meta-Analysis (Statistics)","url":"https://www.academia.edu/Documents/in/Meta-Analysis_Statistics_?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5394,"name":"Fuzzy set theory","url":"https://www.academia.edu/Documents/in/Fuzzy_set_theory?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6144,"name":"Fuzzy Logic Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Control?f_ri=6114"},{"id":6811,"name":"Quantum Theory","url":"https://www.academia.edu/Documents/in/Quantum_Theory?f_ri=6114"},{"id":6813,"name":"Quantum Cosmology","url":"https://www.academia.edu/Documents/in/Quantum_Cosmology?f_ri=6114"},{"id":6879,"name":"Fuzzy rule-based modeling","url":"https://www.academia.edu/Documents/in/Fuzzy_rule-based_modeling?f_ri=6114"},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=6114"},{"id":9739,"name":"Probabilistic Markov Modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_Markov_Modeling?f_ri=6114"},{"id":9796,"name":"Philosophy Of Probability","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Probability?f_ri=6114"},{"id":10092,"name":"Quantum Field Theory","url":"https://www.academia.edu/Documents/in/Quantum_Field_Theory?f_ri=6114"},{"id":10182,"name":"Fuzzy Sets","url":"https://www.academia.edu/Documents/in/Fuzzy_Sets?f_ri=6114"},{"id":10685,"name":"Fuzzy Expert System","url":"https://www.academia.edu/Documents/in/Fuzzy_Expert_System?f_ri=6114"},{"id":11373,"name":"Sports Statistics","url":"https://www.academia.edu/Documents/in/Sports_Statistics?f_ri=6114"},{"id":12853,"name":"Robust Statistics","url":"https://www.academia.edu/Documents/in/Robust_Statistics?f_ri=6114"},{"id":12884,"name":"Brain behavior from statistical analysis of eeg signals","url":"https://www.academia.edu/Documents/in/Brain_behavior_from_statistical_analysis_of_eeg_signals?f_ri=6114"},{"id":13645,"name":"Quantum Optics \u0026 Statistical Physics","url":"https://www.academia.edu/Documents/in/Quantum_Optics_and_Statistical_Physics?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":14773,"name":"Bayesian Econometrics","url":"https://www.academia.edu/Documents/in/Bayesian_Econometrics?f_ri=6114"},{"id":15044,"name":"Bootstrap (Statistics)","url":"https://www.academia.edu/Documents/in/Bootstrap_Statistics_?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":16103,"name":"Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_Systems?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":16585,"name":"Quantum Cryptography","url":"https://www.academia.edu/Documents/in/Quantum_Cryptography?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17553,"name":"Statistical Machine Translation","url":"https://www.academia.edu/Documents/in/Statistical_Machine_Translation?f_ri=6114"},{"id":18420,"name":"Philosophy of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Philosophy_of_Quantum_Mechanics?f_ri=6114"},{"id":19204,"name":"Nonequilibrium statistical mechanics","url":"https://www.academia.edu/Documents/in/Nonequilibrium_statistical_mechanics?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":25955,"name":"Emergent Quantum Gravity","url":"https://www.academia.edu/Documents/in/Emergent_Quantum_Gravity?f_ri=6114"},{"id":26691,"name":"Statistical Process Control","url":"https://www.academia.edu/Documents/in/Statistical_Process_Control?f_ri=6114"},{"id":26957,"name":"Statistical Modelling","url":"https://www.academia.edu/Documents/in/Statistical_Modelling?f_ri=6114"},{"id":26959,"name":"Bayesian Models","url":"https://www.academia.edu/Documents/in/Bayesian_Models?f_ri=6114"},{"id":27371,"name":"Statistical Thermodynamics","url":"https://www.academia.edu/Documents/in/Statistical_Thermodynamics?f_ri=6114"},{"id":27550,"name":"History of Statistics and Statistical Agencies","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Statistical_Agencies?f_ri=6114"},{"id":27770,"name":"Statistics education (Education)","url":"https://www.academia.edu/Documents/in/Statistics_education_Education_?f_ri=6114"},{"id":27926,"name":"Statistical Methods in Archaeology","url":"https://www.academia.edu/Documents/in/Statistical_Methods_in_Archaeology?f_ri=6114"},{"id":28226,"name":"Bayesian Radiocarbon Dating","url":"https://www.academia.edu/Documents/in/Bayesian_Radiocarbon_Dating?f_ri=6114"},{"id":28422,"name":"Quantum Computation","url":"https://www.academia.edu/Documents/in/Quantum_Computation?f_ri=6114"},{"id":28512,"name":"Bayesian Networks","url":"https://www.academia.edu/Documents/in/Bayesian_Networks?f_ri=6114"},{"id":28545,"name":"Loop Quantum Gravity","url":"https://www.academia.edu/Documents/in/Loop_Quantum_Gravity?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":31812,"name":"Fuzzy Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Control?f_ri=6114"},{"id":31826,"name":"Sampling (Mathematical Statistics)","url":"https://www.academia.edu/Documents/in/Sampling_Mathematical_Statistics_?f_ri=6114"},{"id":31900,"name":"Fuzzy","url":"https://www.academia.edu/Documents/in/Fuzzy?f_ri=6114"},{"id":32815,"name":"Probability and Mathematical Statistics in power systems","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics_in_power_systems?f_ri=6114"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability?f_ri=6114"},{"id":33479,"name":"Statistical Hydrology","url":"https://www.academia.edu/Documents/in/Statistical_Hydrology?f_ri=6114"},{"id":34109,"name":"Bayesian estimation","url":"https://www.academia.edu/Documents/in/Bayesian_estimation?f_ri=6114"},{"id":35966,"name":"Statistical Design of Experiment (DoE)","url":"https://www.academia.edu/Documents/in/Statistical_Design_of_Experiment_DoE_?f_ri=6114"},{"id":37305,"name":"Statistical Quality Control","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control?f_ri=6114"},{"id":38246,"name":"Statistical Learning","url":"https://www.academia.edu/Documents/in/Statistical_Learning?f_ri=6114"},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=6114"},{"id":38701,"name":"Bayesian Analysis","url":"https://www.academia.edu/Documents/in/Bayesian_Analysis?f_ri=6114"},{"id":39699,"name":"Probabilistic Graphical Models","url":"https://www.academia.edu/Documents/in/Probabilistic_Graphical_Models?f_ri=6114"},{"id":40174,"name":"Business statistics","url":"https://www.academia.edu/Documents/in/Business_statistics?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41815,"name":"Applied Probability","url":"https://www.academia.edu/Documents/in/Applied_Probability?f_ri=6114"},{"id":43591,"name":"Quantum entanglement","url":"https://www.academia.edu/Documents/in/Quantum_entanglement?f_ri=6114"},{"id":48317,"name":"Quantum Dots","url":"https://www.academia.edu/Documents/in/Quantum_Dots?f_ri=6114"},{"id":48641,"name":"Applied Bayesian Statistics","url":"https://www.academia.edu/Documents/in/Applied_Bayesian_Statistics?f_ri=6114"},{"id":51105,"name":"Official Statistics","url":"https://www.academia.edu/Documents/in/Official_Statistics?f_ri=6114"},{"id":51529,"name":"Bayesian Inference","url":"https://www.academia.edu/Documents/in/Bayesian_Inference?f_ri=6114"},{"id":52054,"name":"Predictive Modeling Using Statistical programs","url":"https://www.academia.edu/Documents/in/Predictive_Modeling_Using_Statistical_programs?f_ri=6114"},{"id":53553,"name":"Fuzzy and Neuro-Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_and_Neuro-Fuzzy_Systems?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":55333,"name":"Teaching and Learning of Statistics","url":"https://www.academia.edu/Documents/in/Teaching_and_Learning_of_Statistics?f_ri=6114"},{"id":59959,"name":"Research methods and Statistics","url":"https://www.academia.edu/Documents/in/Research_methods_and_Statistics?f_ri=6114"},{"id":62225,"name":"Fuzzy Logic Programming","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Programming?f_ri=6114"},{"id":64346,"name":"History of statistics","url":"https://www.academia.edu/Documents/in/History_of_statistics?f_ri=6114"},{"id":65150,"name":"Climate statistics","url":"https://www.academia.edu/Documents/in/Climate_statistics?f_ri=6114"},{"id":67968,"name":"Statistical Inference","url":"https://www.academia.edu/Documents/in/Statistical_Inference?f_ri=6114"},{"id":73837,"name":"Fuzzy Cognitive Maps","url":"https://www.academia.edu/Documents/in/Fuzzy_Cognitive_Maps?f_ri=6114"},{"id":74740,"name":"Fuzzy Topology","url":"https://www.academia.edu/Documents/in/Fuzzy_Topology?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":85362,"name":"Descriptive Statistics","url":"https://www.academia.edu/Documents/in/Descriptive_Statistics?f_ri=6114"},{"id":94117,"name":"Basic Statistics","url":"https://www.academia.edu/Documents/in/Basic_Statistics?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":100094,"name":"Bayesian statistics","url":"https://www.academia.edu/Documents/in/Bayesian_statistics?f_ri=6114"},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=6114"},{"id":105930,"name":"Statistical Downscaling","url":"https://www.academia.edu/Documents/in/Statistical_Downscaling?f_ri=6114"},{"id":122945,"name":"Fuzzy Mathematics","url":"https://www.academia.edu/Documents/in/Fuzzy_Mathematics?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":129810,"name":"Experimental Research Design and Statistical Data Analysis","url":"https://www.academia.edu/Documents/in/Experimental_Research_Design_and_Statistical_Data_Analysis?f_ri=6114"},{"id":134705,"name":"Sports Management \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Sports_Management_and_Statistics?f_ri=6114"},{"id":144104,"name":"Statistics, Econometrics, Economics, Marketing searching and adjusting, Management methods, Demography, Projects with foreign financing, Price universe and interpret indices, Physics, Econophysics.","url":"https://www.academia.edu/Documents/in/Statistics_Econometrics_Economics_Marketing_searching_and_adjusting_Management_methods_Demograp?f_ri=6114"},{"id":148631,"name":"Computational Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Computational_Quantum_Chemistry?f_ri=6114"},{"id":152694,"name":"Statistical Methods","url":"https://www.academia.edu/Documents/in/Statistical_Methods?f_ri=6114"},{"id":188474,"name":"Applied Statistics and Statistical Modelling","url":"https://www.academia.edu/Documents/in/Applied_Statistics_and_Statistical_Modelling?f_ri=6114"},{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114"},{"id":202777,"name":"Adaptive Neuro-Fuzzy Inference Systems","url":"https://www.academia.edu/Documents/in/Adaptive_Neuro-Fuzzy_Inference_Systems?f_ri=6114"},{"id":230995,"name":"Crime Statistics","url":"https://www.academia.edu/Documents/in/Crime_Statistics?f_ri=6114"},{"id":233511,"name":"Estadística bayesiana","url":"https://www.academia.edu/Documents/in/Estadistica_bayesiana?f_ri=6114"},{"id":241338,"name":"Fuzzy Logic and Its Application","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_and_Its_Application?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":273724,"name":"Statistics and Mathematics","url":"https://www.academia.edu/Documents/in/Statistics_and_Mathematics?f_ri=6114"},{"id":274599,"name":"Bayesian Network","url":"https://www.academia.edu/Documents/in/Bayesian_Network?f_ri=6114"},{"id":277776,"name":"Quantum and classical statistical mechanics","url":"https://www.academia.edu/Documents/in/Quantum_and_classical_statistical_mechanics?f_ri=6114"},{"id":315908,"name":"Probability distributions to model air pollutant data","url":"https://www.academia.edu/Documents/in/Probability_distributions_to_model_air_pollutant_data?f_ri=6114"},{"id":328408,"name":"Agrofood Economics and Statistics","url":"https://www.academia.edu/Documents/in/Agrofood_Economics_and_Statistics?f_ri=6114"},{"id":343413,"name":"Applied Probability and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Probability_and_Statistics?f_ri=6114"},{"id":345767,"name":"Naive Bayes","url":"https://www.academia.edu/Documents/in/Naive_Bayes?f_ri=6114"},{"id":368423,"name":"Educational statistics","url":"https://www.academia.edu/Documents/in/Educational_statistics?f_ri=6114"},{"id":385362,"name":"Estadística y probabilidad","url":"https://www.academia.edu/Documents/in/Estadistica_y_probabilidad?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":420825,"name":"Manual -en español- IBM SPSS Statistics Base 20","url":"https://www.academia.edu/Documents/in/Manual_-en_espanol-_IBM_SPSS_Statistics_Base_20?f_ri=6114"},{"id":463912,"name":"Probabilidade e Estatística","url":"https://www.academia.edu/Documents/in/Probabilidade_e_Estatistica?f_ri=6114"},{"id":467682,"name":"Fuzzy Logic Controller","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Controller?f_ri=6114"},{"id":516330,"name":"Psychological Statistics","url":"https://www.academia.edu/Documents/in/Psychological_Statistics?f_ri=6114"},{"id":571797,"name":"Introduction to Probability","url":"https://www.academia.edu/Documents/in/Introduction_to_Probability?f_ri=6114"},{"id":579837,"name":"Experimental Statistics: Planning of experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Planning_of_experiments?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":582439,"name":"History of Statistics and Probability","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Probability?f_ri=6114"},{"id":596654,"name":"Computer Science and Statistics","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Statistics?f_ri=6114"},{"id":605181,"name":"Bayesian Belief Networks","url":"https://www.academia.edu/Documents/in/Bayesian_Belief_Networks?f_ri=6114"},{"id":617848,"name":"Intuitionistic fuzzy sets","url":"https://www.academia.edu/Documents/in/Intuitionistic_fuzzy_sets?f_ri=6114"},{"id":618122,"name":"Quantum physics and the Law of Attraction","url":"https://www.academia.edu/Documents/in/Quantum_physics_and_the_Law_of_Attraction?f_ri=6114"},{"id":642996,"name":"Fuzzy Set","url":"https://www.academia.edu/Documents/in/Fuzzy_Set?f_ri=6114"},{"id":643412,"name":"Statistical Analysis Techniques for Geography and Environmental Science","url":"https://www.academia.edu/Documents/in/Statistical_Analysis_Techniques_for_Geography_and_Environmental_Science?f_ri=6114"},{"id":653891,"name":"Probabilistic risk modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_risk_modeling?f_ri=6114"},{"id":674235,"name":"Combinatorics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Combinatorics_and_Statistics?f_ri=6114"},{"id":765384,"name":"Economics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics?f_ri=6114"},{"id":792341,"name":"Redes Bayesianas","url":"https://www.academia.edu/Documents/in/Redes_Bayesianas?f_ri=6114"},{"id":807335,"name":"Fuzzy Inference System","url":"https://www.academia.edu/Documents/in/Fuzzy_Inference_System?f_ri=6114"},{"id":849389,"name":"Probabilidad","url":"https://www.academia.edu/Documents/in/Probabilidad?f_ri=6114"},{"id":853315,"name":"Calculo De Probabilidades","url":"https://www.academia.edu/Documents/in/Calculo_De_Probabilidades?f_ri=6114"},{"id":872399,"name":"Probability Density Function","url":"https://www.academia.edu/Documents/in/Probability_Density_Function?f_ri=6114"},{"id":957044,"name":"Public Health. Mathematics \u0026 Statistics Education","url":"https://www.academia.edu/Documents/in/Public_Health._Mathematics_and_Statistics_Education?f_ri=6114"},{"id":976616,"name":"Statistical Computing In R","url":"https://www.academia.edu/Documents/in/Statistical_Computing_In_R?f_ri=6114"},{"id":991025,"name":"Economics and Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics-1?f_ri=6114"},{"id":1003616,"name":"Bayesian Methods (MCMC)","url":"https://www.academia.edu/Documents/in/Bayesian_Methods_MCMC_?f_ri=6114"},{"id":1023349,"name":"Fuzzy Image Modeling","url":"https://www.academia.edu/Documents/in/Fuzzy_Image_Modeling?f_ri=6114"},{"id":1115400,"name":"Quantum Teaching Strategy on teaching English as Foreign Language","url":"https://www.academia.edu/Documents/in/Quantum_Teaching_Strategy_on_teaching_English_as_Foreign_Language?f_ri=6114"},{"id":1129465,"name":"Probabilidades ejercicios","url":"https://www.academia.edu/Documents/in/Probabilidades_ejercicios?f_ri=6114"},{"id":1255971,"name":"Analyzing Educational Data With IBM SPSS Statistics","url":"https://www.academia.edu/Documents/in/Analyzing_Educational_Data_With_IBM_SPSS_Statistics?f_ri=6114"},{"id":1279852,"name":"Lista de formulas de probabilidade e estatistica.","url":"https://www.academia.edu/Documents/in/Lista_de_formulas_de_probabilidade_e_estatistica?f_ri=6114"},{"id":1317759,"name":"Metode Naive Bayes","url":"https://www.academia.edu/Documents/in/Metode_Naive_Bayes?f_ri=6114"},{"id":1322090,"name":"Konsep Dasar Probabilitas","url":"https://www.academia.edu/Documents/in/Konsep_Dasar_Probabilitas?f_ri=6114"},{"id":1331793,"name":"Financial Accounting, Economics, Marketing, Business Strategy and Public Relations, Business Consulting, Statistical Analysis, Brand Development, and Project Management, Human Resource, Management, Human Resources, Administration, and International HRM","url":"https://www.academia.edu/Documents/in/Financial_Accounting_Economics_Marketing_Business_Strategy_and_Public_Relations_Business_Consult?f_ri=6114"},{"id":1361680,"name":"Statistika dan Probabilitas","url":"https://www.academia.edu/Documents/in/Statistika_dan_Probabilitas?f_ri=6114"},{"id":1393524,"name":"Non-Hermitian Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Non-Hermitian_Quantum_Mechanics?f_ri=6114"},{"id":1733909,"name":"Of Statistics","url":"https://www.academia.edu/Documents/in/Of_Statistics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31396957" data-work_id="31396957" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31396957/Breeding_Objectives_13">Breeding Objectives-13</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">– the relative economic weights – genetic parameters (heritabilities, correlations) to determine the weights we put on the observed phenotypes Index = b 1 P 1 + b 2 P 2</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31396957" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1529e1fb52486c79c862c902e15e038c" rel="nofollow" data-download="{"attachment_id":51768160,"asset_id":31396957,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51768160/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10055576" href="https://independentresearcher.academia.edu/MohammadRifky">Mohammad Rifky</a><script data-card-contents-for-user="10055576" type="text/json">{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}</script></span></span></li><li class="js-paper-rank-work_31396957 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31396957"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31396957, container: ".js-paper-rank-work_31396957", }); });</script></li><li class="js-percentile-work_31396957 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31396957; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31396957"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31396957 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31396957"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31396957; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31396957]").text(description); $(".js-view-count-work_31396957").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31396957").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31396957"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">161</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="155" href="https://www.academia.edu/Documents/in/Evolutionary_Biology">Evolutionary Biology</a>, <script data-card-contents-for-ri="155" type="text/json">{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="657" href="https://www.academia.edu/Documents/in/Veterinary_Medicine">Veterinary Medicine</a>, <script data-card-contents-for-ri="657" type="text/json">{"id":657,"name":"Veterinary Medicine","url":"https://www.academia.edu/Documents/in/Veterinary_Medicine?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a><script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31396957]'), work: {"id":31396957,"title":"Breeding Objectives-13","created_at":"2017-02-12T19:21:20.191-08:00","url":"https://www.academia.edu/31396957/Breeding_Objectives_13?f_ri=6114","dom_id":"work_31396957","summary":"– the relative economic weights – genetic parameters (heritabilities, correlations) to determine the weights we put on the observed phenotypes Index = b 1 P 1 + b 2 P 2","downloadable_attachments":[{"id":51768160,"asset_id":31396957,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}],"research_interests":[{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":657,"name":"Veterinary Medicine","url":"https://www.academia.edu/Documents/in/Veterinary_Medicine?f_ri=6114","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false},{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114"},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114"},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior?f_ri=6114"},{"id":2960,"name":"The industrialization of agriculture: vertical coordination in the US food system.","url":"https://www.academia.edu/Documents/in/The_industrialization_of_agriculture_vertical_coordination_in_the_US_food_system?f_ri=6114"},{"id":3037,"name":"Veterinary Microbiology","url":"https://www.academia.edu/Documents/in/Veterinary_Microbiology?f_ri=6114"},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114"},{"id":3233,"name":"Animal Studies","url":"https://www.academia.edu/Documents/in/Animal_Studies?f_ri=6114"},{"id":3234,"name":"Animal Ethics","url":"https://www.academia.edu/Documents/in/Animal_Ethics?f_ri=6114"},{"id":3404,"name":"Critical Animal Studies","url":"https://www.academia.edu/Documents/in/Critical_Animal_Studies?f_ri=6114"},{"id":3529,"name":"Organic agriculture","url":"https://www.academia.edu/Documents/in/Organic_agriculture?f_ri=6114"},{"id":3530,"name":"Sustainable agriculture","url":"https://www.academia.edu/Documents/in/Sustainable_agriculture?f_ri=6114"},{"id":3532,"name":"Sociology of agriculture","url":"https://www.academia.edu/Documents/in/Sociology_of_agriculture?f_ri=6114"},{"id":3549,"name":"Crop genetic diversity","url":"https://www.academia.edu/Documents/in/Crop_genetic_diversity?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114"},{"id":4485,"name":"Landscape genetics","url":"https://www.academia.edu/Documents/in/Landscape_genetics?f_ri=6114"},{"id":4731,"name":"Precision Agriculture","url":"https://www.academia.edu/Documents/in/Precision_Agriculture?f_ri=6114"},{"id":5025,"name":"Genetic Programming","url":"https://www.academia.edu/Documents/in/Genetic_Programming?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":5070,"name":"Forensic Genetics","url":"https://www.academia.edu/Documents/in/Forensic_Genetics?f_ri=6114"},{"id":5071,"name":"Genetic Toxicology","url":"https://www.academia.edu/Documents/in/Genetic_Toxicology?f_ri=6114"},{"id":5217,"name":"Genetic Criticism (Genetic Criticism)","url":"https://www.academia.edu/Documents/in/Genetic_Criticism_Genetic_Criticism_?f_ri=6114"},{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":8952,"name":"Breeding","url":"https://www.academia.edu/Documents/in/Breeding?f_ri=6114"},{"id":9070,"name":"Social behavior in animals","url":"https://www.academia.edu/Documents/in/Social_behavior_in_animals?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture?f_ri=6114"},{"id":10882,"name":"Evolution","url":"https://www.academia.edu/Documents/in/Evolution?f_ri=6114"},{"id":10908,"name":"Genetic Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Genetic_Fuzzy_Systems?f_ri=6114"},{"id":12204,"name":"Animal Welfare","url":"https://www.academia.edu/Documents/in/Animal_Welfare?f_ri=6114"},{"id":12540,"name":"Marker assisted plant breeding","url":"https://www.academia.edu/Documents/in/Marker_assisted_plant_breeding?f_ri=6114"},{"id":12588,"name":"Origins of Agriculture","url":"https://www.academia.edu/Documents/in/Origins_of_Agriculture?f_ri=6114"},{"id":14483,"name":"Animal Ecology","url":"https://www.academia.edu/Documents/in/Animal_Ecology?f_ri=6114"},{"id":14907,"name":"Industrial Biotechnology","url":"https://www.academia.edu/Documents/in/Industrial_Biotechnology?f_ri=6114"},{"id":14927,"name":"Agriculture (Biology)","url":"https://www.academia.edu/Documents/in/Agriculture_Biology_?f_ri=6114"},{"id":14933,"name":"Plant Breeding","url":"https://www.academia.edu/Documents/in/Plant_Breeding?f_ri=6114"},{"id":14934,"name":"Agricultural Biotechnology","url":"https://www.academia.edu/Documents/in/Agricultural_Biotechnology?f_ri=6114"},{"id":14938,"name":"Molecular Breeding","url":"https://www.academia.edu/Documents/in/Molecular_Breeding?f_ri=6114"},{"id":14941,"name":"Plant Tissue Culture and Genetic Transformation","url":"https://www.academia.edu/Documents/in/Plant_Tissue_Culture_and_Genetic_Transformation?f_ri=6114"},{"id":15446,"name":"Animals and Animality","url":"https://www.academia.edu/Documents/in/Animals_and_Animality?f_ri=6114"},{"id":16722,"name":"Impacts Of Climatic Change On Agriculture","url":"https://www.academia.edu/Documents/in/Impacts_Of_Climatic_Change_On_Agriculture?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":17588,"name":"Fish population genetics","url":"https://www.academia.edu/Documents/in/Fish_population_genetics?f_ri=6114"},{"id":18225,"name":"Plant biotechnology","url":"https://www.academia.edu/Documents/in/Plant_biotechnology?f_ri=6114"},{"id":18613,"name":"Animal reproduction","url":"https://www.academia.edu/Documents/in/Animal_reproduction?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":20348,"name":"Plant breeding and genetics","url":"https://www.academia.edu/Documents/in/Plant_breeding_and_genetics?f_ri=6114"},{"id":21801,"name":"Animal Physiology","url":"https://www.academia.edu/Documents/in/Animal_Physiology?f_ri=6114"},{"id":22251,"name":"Agriculture and Food Studies","url":"https://www.academia.edu/Documents/in/Agriculture_and_Food_Studies?f_ri=6114"},{"id":22298,"name":"Veterinary public health","url":"https://www.academia.edu/Documents/in/Veterinary_public_health?f_ri=6114"},{"id":22838,"name":"Animal Behaviour","url":"https://www.academia.edu/Documents/in/Animal_Behaviour?f_ri=6114"},{"id":23219,"name":"Sustainable Agriculture (Sustainability)","url":"https://www.academia.edu/Documents/in/Sustainable_Agriculture_Sustainability_?f_ri=6114"},{"id":24058,"name":"Animals in Culture","url":"https://www.academia.edu/Documents/in/Animals_in_Culture?f_ri=6114"},{"id":28107,"name":"Animal Health Economics","url":"https://www.academia.edu/Documents/in/Animal_Health_Economics?f_ri=6114"},{"id":28577,"name":"Urban Agriculture","url":"https://www.academia.edu/Documents/in/Urban_Agriculture?f_ri=6114"},{"id":28833,"name":"Population and Conservation Genetics","url":"https://www.academia.edu/Documents/in/Population_and_Conservation_Genetics?f_ri=6114"},{"id":29173,"name":"Genetic Genealogy","url":"https://www.academia.edu/Documents/in/Genetic_Genealogy?f_ri=6114"},{"id":29980,"name":"Animal Production","url":"https://www.academia.edu/Documents/in/Animal_Production?f_ri=6114"},{"id":29991,"name":"Clinical and Molecular Human Genetics","url":"https://www.academia.edu/Documents/in/Clinical_and_Molecular_Human_Genetics?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":33104,"name":"Ancient Agriculture \u0026 Farming (Archaeology)","url":"https://www.academia.edu/Documents/in/Ancient_Agriculture_and_Farming_Archaeology_?f_ri=6114"},{"id":33105,"name":"Ancient Husbandry \u0026 Livestock (Archaeology)","url":"https://www.academia.edu/Documents/in/Ancient_Husbandry_and_Livestock_Archaeology_?f_ri=6114"},{"id":33760,"name":"Environmental Biotechnology","url":"https://www.academia.edu/Documents/in/Environmental_Biotechnology?f_ri=6114"},{"id":35414,"name":"Veterinary","url":"https://www.academia.edu/Documents/in/Veterinary?f_ri=6114"},{"id":36977,"name":"Fish Breeding","url":"https://www.academia.edu/Documents/in/Fish_Breeding?f_ri=6114"},{"id":37881,"name":"Animal Husbandry","url":"https://www.academia.edu/Documents/in/Animal_Husbandry?f_ri=6114"},{"id":41013,"name":"Fish Genetics","url":"https://www.academia.edu/Documents/in/Fish_Genetics?f_ri=6114"},{"id":41368,"name":"Genetically Modified Crops","url":"https://www.academia.edu/Documents/in/Genetically_Modified_Crops?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":43294,"name":"Veterinary Science","url":"https://www.academia.edu/Documents/in/Veterinary_Science?f_ri=6114"},{"id":47305,"name":"Pharmaceutical Biotechnology","url":"https://www.academia.edu/Documents/in/Pharmaceutical_Biotechnology?f_ri=6114"},{"id":48579,"name":"Microbial Biotechnology","url":"https://www.academia.edu/Documents/in/Microbial_Biotechnology-1?f_ri=6114"},{"id":50994,"name":"Genetics and cytogenetics","url":"https://www.academia.edu/Documents/in/Genetics_and_cytogenetics?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":53305,"name":"Plant molecular genetics, plant genetics, plant breeding, cytogenetics, genetic variation, phylogenetics","url":"https://www.academia.edu/Documents/in/Plant_molecular_genetics_plant_genetics_plant_breeding_cytogenetics_genetic_variation_phylogene?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":55200,"name":"Biotechnolgy","url":"https://www.academia.edu/Documents/in/Biotechnolgy?f_ri=6114"},{"id":55487,"name":"Plant Genetic Resources","url":"https://www.academia.edu/Documents/in/Plant_Genetic_Resources?f_ri=6114"},{"id":57139,"name":"History of genetics","url":"https://www.academia.edu/Documents/in/History_of_genetics?f_ri=6114"},{"id":64089,"name":"Genetics \u0026 Microbial Biotechnology","url":"https://www.academia.edu/Documents/in/Genetics_and_Microbial_Biotechnology?f_ri=6114"},{"id":70099,"name":"Livestock","url":"https://www.academia.edu/Documents/in/Livestock?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":71193,"name":"Transfer of technology for agriculture and livestock farming","url":"https://www.academia.edu/Documents/in/Transfer_of_technology_for_agriculture_and_livestock_farming?f_ri=6114"},{"id":71823,"name":"Ecofriendly Livestock Production Management","url":"https://www.academia.edu/Documents/in/Ecofriendly_Livestock_Production_Management?f_ri=6114"},{"id":71824,"name":"LIvestock Production ,animal welfare","url":"https://www.academia.edu/Documents/in/LIvestock_Production_animal_welfare?f_ri=6114"},{"id":78741,"name":"Animal Husbandry and Livestock","url":"https://www.academia.edu/Documents/in/Animal_Husbandry_and_Livestock?f_ri=6114"},{"id":80959,"name":"Food Biotechnology","url":"https://www.academia.edu/Documents/in/Food_Biotechnology?f_ri=6114"},{"id":84243,"name":"Medical Biotechnology","url":"https://www.academia.edu/Documents/in/Medical_Biotechnology?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":96663,"name":"Wheat breeding","url":"https://www.academia.edu/Documents/in/Wheat_breeding?f_ri=6114"},{"id":101868,"name":"Rice Breeding","url":"https://www.academia.edu/Documents/in/Rice_Breeding?f_ri=6114"},{"id":103011,"name":"Plant Biotechnology and Molecular Biology","url":"https://www.academia.edu/Documents/in/Plant_Biotechnology_and_Molecular_Biology?f_ri=6114"},{"id":103872,"name":"Tropical Agriculture","url":"https://www.academia.edu/Documents/in/Tropical_Agriculture?f_ri=6114"},{"id":105058,"name":"Mutation breeding","url":"https://www.academia.edu/Documents/in/Mutation_breeding?f_ri=6114"},{"id":109878,"name":"Epistemologia Genética","url":"https://www.academia.edu/Documents/in/Epistemologia_Genetica?f_ri=6114"},{"id":124526,"name":"Genetically modified organisms","url":"https://www.academia.edu/Documents/in/Genetically_modified_organisms?f_ri=6114"},{"id":127603,"name":"Livestock Production","url":"https://www.academia.edu/Documents/in/Livestock_Production?f_ri=6114"},{"id":139821,"name":"Molecular Genetics and biotechnology of fisheries and aquaculture","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_biotechnology_of_fisheries_and_aquaculture?f_ri=6114"},{"id":141012,"name":"Captive Breeding","url":"https://www.academia.edu/Documents/in/Captive_Breeding?f_ri=6114"},{"id":143509,"name":"Genetic transformation","url":"https://www.academia.edu/Documents/in/Genetic_transformation?f_ri=6114"},{"id":146682,"name":"Animal Breeding","url":"https://www.academia.edu/Documents/in/Animal_Breeding?f_ri=6114"},{"id":154188,"name":"History of Veterinary Medicine","url":"https://www.academia.edu/Documents/in/History_of_Veterinary_Medicine?f_ri=6114"},{"id":154282,"name":"Climate Change and Its Impact on Food Security and Agriculture","url":"https://www.academia.edu/Documents/in/Climate_Change_and_Its_Impact_on_Food_Security_and_Agriculture?f_ri=6114"},{"id":170492,"name":"recursos Genéticos","url":"https://www.academia.edu/Documents/in/recursos_Geneticos?f_ri=6114"},{"id":184242,"name":"Sustainable Livestock Farming","url":"https://www.academia.edu/Documents/in/Sustainable_Livestock_Farming?f_ri=6114"},{"id":196448,"name":"Medicina Veterinaria","url":"https://www.academia.edu/Documents/in/Medicina_Veterinaria?f_ri=6114"},{"id":198973,"name":"Livestock Products Technology","url":"https://www.academia.edu/Documents/in/Livestock_Products_Technology?f_ri=6114"},{"id":223957,"name":"Livestock Management","url":"https://www.academia.edu/Documents/in/Livestock_Management?f_ri=6114"},{"id":235677,"name":"Behavioral Animal Models","url":"https://www.academia.edu/Documents/in/Behavioral_Animal_Models?f_ri=6114"},{"id":241386,"name":"Molecular Genetic","url":"https://www.academia.edu/Documents/in/Molecular_Genetic?f_ri=6114"},{"id":242139,"name":"Vegetable Breeding","url":"https://www.academia.edu/Documents/in/Vegetable_Breeding?f_ri=6114"},{"id":242140,"name":"Mushroom Cultivation and Breeding","url":"https://www.academia.edu/Documents/in/Mushroom_Cultivation_and_Breeding?f_ri=6114"},{"id":259900,"name":"Livestock Production Systems","url":"https://www.academia.edu/Documents/in/Livestock_Production_Systems?f_ri=6114"},{"id":270655,"name":"Agriculture Economics","url":"https://www.academia.edu/Documents/in/Agriculture_Economics?f_ri=6114"},{"id":271859,"name":"Genetics and Plant Breeding","url":"https://www.academia.edu/Documents/in/Genetics_and_Plant_Breeding?f_ri=6114"},{"id":284346,"name":"Plant Mutation Breeding and Genetics","url":"https://www.academia.edu/Documents/in/Plant_Mutation_Breeding_and_Genetics?f_ri=6114"},{"id":287052,"name":"Dairy Cattle Breeding","url":"https://www.academia.edu/Documents/in/Dairy_Cattle_Breeding?f_ri=6114"},{"id":289733,"name":"Sheep and goat breeding and improvement","url":"https://www.academia.edu/Documents/in/Sheep_and_goat_breeding_and_improvement?f_ri=6114"},{"id":290215,"name":"Molecular biology and/or Plant breeding and Genetics of Stress Tolerence","url":"https://www.academia.edu/Documents/in/Molecular_biology_and_or_Plant_breeding_and_Genetics_of_Stress_Tolerence?f_ri=6114"},{"id":291485,"name":"Crítica Genética","url":"https://www.academia.edu/Documents/in/Cr%C3%ADtica_Gen%C3%A9tica?f_ri=6114"},{"id":322689,"name":"History of Agriculture","url":"https://www.academia.edu/Documents/in/History_of_Agriculture?f_ri=6114"},{"id":430530,"name":"Mejoramiento Genetico Forestal Genetica Agroforesteria Plantaciones Forestales","url":"https://www.academia.edu/Documents/in/Mejoramiento_Genetico_Forestal_Genetica_Agroforesteria_Plantaciones_Forestales?f_ri=6114"},{"id":431354,"name":"Plant Breeding and Biotechnology","url":"https://www.academia.edu/Documents/in/Plant_Breeding_and_Biotechnology?f_ri=6114"},{"id":444324,"name":"Peternakan","url":"https://www.academia.edu/Documents/in/Peternakan?f_ri=6114"},{"id":469046,"name":"Molecular breeding in rice","url":"https://www.academia.edu/Documents/in/Molecular_breeding_in_rice?f_ri=6114"},{"id":471441,"name":"Animal Sciences","url":"https://www.academia.edu/Documents/in/Animal_Sciences?f_ri=6114"},{"id":482809,"name":"DICTIONARY OF BIOTECHNOLOGY AND GENETIC ENGINEERING","url":"https://www.academia.edu/Documents/in/DICTIONARY_OF_BIOTECHNOLOGY_AND_GENETIC_ENGINEERING?f_ri=6114"},{"id":533167,"name":"GENETICS AND ANIMAL BREEDING FOR SUSTAINABLE AGRICULTURAL DEVELOPMENT","url":"https://www.academia.edu/Documents/in/GENETICS_AND_ANIMAL_BREEDING_FOR_SUSTAINABLE_AGRICULTURAL_DEVELOPMENT?f_ri=6114"},{"id":541675,"name":"Livestock and Wildlife","url":"https://www.academia.edu/Documents/in/Livestock_and_Wildlife?f_ri=6114"},{"id":541776,"name":"Ecological Agriculture","url":"https://www.academia.edu/Documents/in/Ecological_Agriculture?f_ri=6114"},{"id":554967,"name":"Sosial Ekonomi Peternakan","url":"https://www.academia.edu/Documents/in/Sosial_Ekonomi_Peternakan?f_ri=6114"},{"id":577933,"name":"Genetic variation","url":"https://www.academia.edu/Documents/in/Genetic_variation?f_ri=6114"},{"id":580605,"name":"Livestock research","url":"https://www.academia.edu/Documents/in/Livestock_research?f_ri=6114"},{"id":595497,"name":"PLANT BREEDING \u0026 GENETICS","url":"https://www.academia.edu/Documents/in/PLANT_BREEDING_and_GENETICS-1?f_ri=6114"},{"id":641335,"name":"Ilmu Peternakan (S2)","url":"https://www.academia.edu/Documents/in/Ilmu_Peternakan_S2_?f_ri=6114"},{"id":644860,"name":"Veterinary Sciences","url":"https://www.academia.edu/Documents/in/Veterinary_Sciences?f_ri=6114"},{"id":670860,"name":"Genetic Diversity in Cocoa (Theobroma cacao L.) Germplasm Collection from Ghana","url":"https://www.academia.edu/Documents/in/Genetic_Diversity_in_Cocoa_Theobroma_cacao_L._Germplasm_Collection_from_Ghana?f_ri=6114"},{"id":695151,"name":"Climate Change and Its Adaptations by Livestock Farmers","url":"https://www.academia.edu/Documents/in/Climate_Change_and_Its_Adaptations_by_Livestock_Farmers?f_ri=6114"},{"id":713668,"name":"Plant breeding and research","url":"https://www.academia.edu/Documents/in/Plant_breeding_and_research?f_ri=6114"},{"id":724303,"name":"Poultry breeding and genetics","url":"https://www.academia.edu/Documents/in/Poultry_breeding_and_genetics-1?f_ri=6114"},{"id":809629,"name":"Medicina Veterinaria Y Zootecnia","url":"https://www.academia.edu/Documents/in/Medicina_Veterinaria_Y_Zootecnia?f_ri=6114"},{"id":855214,"name":"Agriculture engineering","url":"https://www.academia.edu/Documents/in/Agriculture_engineering?f_ri=6114"},{"id":931247,"name":"Philosophy and Sociology of Human/animal Relations","url":"https://www.academia.edu/Documents/in/Philosophy_and_Sociology_of_Human_animal_Relations?f_ri=6114"},{"id":969017,"name":"Livestock Production Economics","url":"https://www.academia.edu/Documents/in/Livestock_Production_Economics?f_ri=6114"},{"id":988946,"name":"Traditional Agriculture","url":"https://www.academia.edu/Documents/in/Traditional_Agriculture?f_ri=6114"},{"id":998956,"name":"Sociology and Anthropology of Agriculture and Food","url":"https://www.academia.edu/Documents/in/Sociology_and_Anthropology_of_Agriculture_and_Food?f_ri=6114"},{"id":1013276,"name":"Veterinary (Livestock","url":"https://www.academia.edu/Documents/in/Veterinary_Livestock?f_ri=6114"},{"id":1035473,"name":"Bio molecular Genetic","url":"https://www.academia.edu/Documents/in/Bio_molecular_Genetic?f_ri=6114"},{"id":1563793,"name":"Fakultas Peternakan Dan Pertanian","url":"https://www.academia.edu/Documents/in/Fakultas_Peternakan_Dan_Pertanian?f_ri=6114"},{"id":1658860,"name":"Perencanaan Pembangunan Peternakan","url":"https://www.academia.edu/Documents/in/Perencanaan_Pembangunan_Peternakan?f_ri=6114"},{"id":1954155,"name":"Teknologi Dan Manajemen Peternakan","url":"https://www.academia.edu/Documents/in/Teknologi_Dan_Manajemen_Peternakan?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_19949923" data-work_id="19949923" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/19949923/On_the_Modes_of_the_Poisson_Distribution_of_Order_k">On the Modes of the Poisson Distribution of Order k</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Sharp upper and lower bounds are established for the modes of the Poisson distribution of order k. The lower bound established in this paper is better than the previously established lower bound. In addition, for k = 2, 3, 4, 5, a recent... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_19949923" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Sharp upper and lower bounds are established for the modes of the Poisson distribution of order k. The lower bound established in this paper is better than the previously established lower bound. In addition, for k = 2, 3, 4, 5, a recent conjecture is presently proved solving partially an open problem since 1983.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/19949923" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="827c34ddbaf47d08bc5b445b2c24fd8a" rel="nofollow" data-download="{"attachment_id":41170542,"asset_id":19949923,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41170542/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="40812275" href="https://independent.academia.edu/SaghafiA">Abolfazl Saghafi</a><script data-card-contents-for-user="40812275" type="text/json">{"id":40812275,"first_name":"Abolfazl","last_name":"Saghafi","domain_name":"independent","page_name":"SaghafiA","display_name":"Abolfazl Saghafi","profile_url":"https://independent.academia.edu/SaghafiA?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_19949923 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="19949923"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 19949923, container: ".js-paper-rank-work_19949923", }); });</script></li><li class="js-percentile-work_19949923 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19949923; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_19949923"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_19949923 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="19949923"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19949923; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19949923]").text(description); $(".js-view-count-work_19949923").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_19949923").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="19949923"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="347" href="https://www.academia.edu/Documents/in/Stochastic_Process">Stochastic Process</a>, <script data-card-contents-for-ri="347" type="text/json">{"id":347,"name":"Stochastic Process","url":"https://www.academia.edu/Documents/in/Stochastic_Process?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2731" href="https://www.academia.edu/Documents/in/Mathematics_Education">Mathematics Education</a>, <script data-card-contents-for-ri="2731" type="text/json">{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="19997" href="https://www.academia.edu/Documents/in/Pure_Mathematics">Pure Mathematics</a><script data-card-contents-for-ri="19997" type="text/json">{"id":19997,"name":"Pure Mathematics","url":"https://www.academia.edu/Documents/in/Pure_Mathematics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=19949923]'), work: {"id":19949923,"title":"On the Modes of the Poisson Distribution of Order k","created_at":"2016-01-01T13:49:14.563-08:00","url":"https://www.academia.edu/19949923/On_the_Modes_of_the_Poisson_Distribution_of_Order_k?f_ri=6114","dom_id":"work_19949923","summary":"Sharp upper and lower bounds are established for the modes of the Poisson distribution of order k. The lower bound established in this paper is better than the previously established lower bound. In addition, for k = 2, 3, 4, 5, a recent conjecture is presently proved solving partially an open problem since 1983.","downloadable_attachments":[{"id":41170542,"asset_id":19949923,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40812275,"first_name":"Abolfazl","last_name":"Saghafi","domain_name":"independent","page_name":"SaghafiA","display_name":"Abolfazl Saghafi","profile_url":"https://independent.academia.edu/SaghafiA?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":347,"name":"Stochastic Process","url":"https://www.academia.edu/Documents/in/Stochastic_Process?f_ri=6114","nofollow":false},{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":19997,"name":"Pure Mathematics","url":"https://www.academia.edu/Documents/in/Pure_Mathematics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14896162" data-work_id="14896162" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14896162/An_economic_selection_index_that_combines_cane_yield_and_sugar_content_in_identifying_superior_sugarcane_clones_in_Kenya">An economic selection index that combines cane yield and sugar content in identifying superior sugarcane clones in Kenya</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the market. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14896162" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the<br />market. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved sugarcane varieties<br />is high. The economic value of improving such sugarcane traits has not been incorporated in many of the sugarcane selection program<br />including the one for Kenya Sugar Research Foundation (KESREF). This research was designed to construct an economic selection<br />index that combines both cane and sugar yields according to their economic values. Breeding experimental trial was established and the<br />convectional KESREF sugarcane breeding program followed from stage 1 to 5, though the selection index was used in stage 3 to 5.A<br />randomized complete block (RCBD) was used in all the stages to randomize the treatments and agronomic and quality traits data were<br />collected. An Analysis of Variance was performed to estimate the heritability, genotypic and phenotypic variance-covariances for the<br />measured trait. The economic values of the breeding traits were also established hence an economic selection index constructed.<br />Results showed that when the index is used in selection process, a decision of selecting superior clones based on both yield and sugar<br />content does no deviate much from the current selection criteria though it is robust to any future changes in the sugar industry.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14896162" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="25a34552353f247b29eb139dba172717" rel="nofollow" data-download="{"attachment_id":38464198,"asset_id":14896162,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/38464198/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="167506" href="https://mmu-ke.academia.edu/JacobOtieno">Jacob Otieno</a><script data-card-contents-for-user="167506" type="text/json">{"id":167506,"first_name":"Jacob","last_name":"Otieno","domain_name":"mmu-ke","page_name":"JacobOtieno","display_name":"Jacob Otieno","profile_url":"https://mmu-ke.academia.edu/JacobOtieno?f_ri=6114","photo":"https://0.academia-photos.com/167506/42352/11113802/s65_jacob.otieno.jpg"}</script></span></span></li><li class="js-paper-rank-work_14896162 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14896162"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14896162, container: ".js-paper-rank-work_14896162", }); });</script></li><li class="js-percentile-work_14896162 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14896162; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14896162"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14896162 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14896162"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14896162; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14896162]").text(description); $(".js-view-count-work_14896162").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14896162").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14896162"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56080" href="https://www.academia.edu/Documents/in/Agricultural_Statistics">Agricultural Statistics</a>, <script data-card-contents-for-ri="56080" type="text/json">{"id":56080,"name":"Agricultural Statistics","url":"https://www.academia.edu/Documents/in/Agricultural_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="176720" href="https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics">Statistical methods in Modern Genetics</a><script data-card-contents-for-ri="176720" type="text/json">{"id":176720,"name":"Statistical methods in Modern Genetics","url":"https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14896162]'), work: {"id":14896162,"title":"An economic selection index that combines cane yield and sugar content in identifying superior sugarcane clones in Kenya","created_at":"2015-08-13T04:36:18.161-07:00","url":"https://www.academia.edu/14896162/An_economic_selection_index_that_combines_cane_yield_and_sugar_content_in_identifying_superior_sugarcane_clones_in_Kenya?f_ri=6114","dom_id":"work_14896162","summary":"Sugarcane breeding all over the world aims at improving cane yield and sugar content to get new varieties that gets into the\nmarket. Kenya is not left out since the demand by the stakeholders in the Kenya sugar industry for new improved sugarcane varieties\nis high. The economic value of improving such sugarcane traits has not been incorporated in many of the sugarcane selection program\nincluding the one for Kenya Sugar Research Foundation (KESREF). This research was designed to construct an economic selection\nindex that combines both cane and sugar yields according to their economic values. Breeding experimental trial was established and the\nconvectional KESREF sugarcane breeding program followed from stage 1 to 5, though the selection index was used in stage 3 to 5.A\nrandomized complete block (RCBD) was used in all the stages to randomize the treatments and agronomic and quality traits data were\ncollected. An Analysis of Variance was performed to estimate the heritability, genotypic and phenotypic variance-covariances for the\nmeasured trait. The economic values of the breeding traits were also established hence an economic selection index constructed.\nResults showed that when the index is used in selection process, a decision of selecting superior clones based on both yield and sugar\ncontent does no deviate much from the current selection criteria though it is robust to any future changes in the sugar industry.","downloadable_attachments":[{"id":38464198,"asset_id":14896162,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":167506,"first_name":"Jacob","last_name":"Otieno","domain_name":"mmu-ke","page_name":"JacobOtieno","display_name":"Jacob Otieno","profile_url":"https://mmu-ke.academia.edu/JacobOtieno?f_ri=6114","photo":"https://0.academia-photos.com/167506/42352/11113802/s65_jacob.otieno.jpg"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":56080,"name":"Agricultural Statistics","url":"https://www.academia.edu/Documents/in/Agricultural_Statistics?f_ri=6114","nofollow":false},{"id":176720,"name":"Statistical methods in Modern Genetics","url":"https://www.academia.edu/Documents/in/Statistical_methods_in_Modern_Genetics?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37131836" data-work_id="37131836" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37131836/Milestones_that_discovered_the_path_to_co_eventum_mechanics">Milestones that discovered the path to co∼eventum mechanics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Notes for lectures on co∼eventum mechanics.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37131836" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7cc5e68015dda7bfd99caa111387e4ad" rel="nofollow" data-download="{"attachment_id":57425035,"asset_id":37131836,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57425035/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38890" href="https://sfu-kras.academia.edu/OlegVorobyev">Oleg Yu Vorobyev</a><script data-card-contents-for-user="38890" type="text/json">{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}</script></span></span></li><li class="js-paper-rank-work_37131836 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37131836"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37131836, container: ".js-paper-rank-work_37131836", }); });</script></li><li class="js-percentile-work_37131836 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37131836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37131836"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37131836 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37131836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37131836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37131836]").text(description); $(".js-view-count-work_37131836").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37131836").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37131836"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">159</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="307" href="https://www.academia.edu/Documents/in/Mathematical_Statistics">Mathematical Statistics</a>, <script data-card-contents-for-ri="307" type="text/json">{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="344" href="https://www.academia.edu/Documents/in/Probability_Theory">Probability Theory</a>, <script data-card-contents-for-ri="344" type="text/json">{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="444" href="https://www.academia.edu/Documents/in/Quantum_Computing">Quantum Computing</a>, <script data-card-contents-for-ri="444" type="text/json">{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="465" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a><script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37131836]'), work: {"id":37131836,"title":"Milestones that discovered the path to co∼eventum mechanics","created_at":"2018-07-27T00:04:45.056-07:00","url":"https://www.academia.edu/37131836/Milestones_that_discovered_the_path_to_co_eventum_mechanics?f_ri=6114","dom_id":"work_37131836","summary":"Notes for lectures on co∼eventum mechanics.","downloadable_attachments":[{"id":57425035,"asset_id":37131836,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}],"research_interests":[{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false},{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false},{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=6114","nofollow":false},{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114"},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114"},{"id":529,"name":"Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Quantum_Chemistry?f_ri=6114"},{"id":806,"name":"Philosophy of Mind","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":1179,"name":"Learning and the Brain","url":"https://www.academia.edu/Documents/in/Learning_and_the_Brain?f_ri=6114"},{"id":1247,"name":"Quantum Gravity","url":"https://www.academia.edu/Documents/in/Quantum_Gravity?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":1613,"name":"Brain Imaging","url":"https://www.academia.edu/Documents/in/Brain_Imaging?f_ri=6114"},{"id":1992,"name":"Quantum Optics","url":"https://www.academia.edu/Documents/in/Quantum_Optics?f_ri=6114"},{"id":2583,"name":"Deep Brain Stimulation","url":"https://www.academia.edu/Documents/in/Deep_Brain_Stimulation?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=6114"},{"id":2713,"name":"Quantum Electrodynamics","url":"https://www.academia.edu/Documents/in/Quantum_Electrodynamics?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":3244,"name":"Bayesian","url":"https://www.academia.edu/Documents/in/Bayesian?f_ri=6114"},{"id":3396,"name":"Foundations of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Foundations_of_Quantum_Mechanics?f_ri=6114"},{"id":3485,"name":"Artificial Immune Systems","url":"https://www.academia.edu/Documents/in/Artificial_Immune_Systems?f_ri=6114"},{"id":3720,"name":"Traumatic Brain Injury","url":"https://www.academia.edu/Documents/in/Traumatic_Brain_Injury?f_ri=6114"},{"id":3810,"name":"Mindfulness","url":"https://www.academia.edu/Documents/in/Mindfulness?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4624,"name":"Brain-computer interfaces","url":"https://www.academia.edu/Documents/in/Brain-computer_interfaces?f_ri=6114"},{"id":4625,"name":"Bilingualism \u0026 the brain","url":"https://www.academia.edu/Documents/in/Bilingualism_and_the_brain?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4937,"name":"Theory of Mind","url":"https://www.academia.edu/Documents/in/Theory_of_Mind?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5394,"name":"Fuzzy set theory","url":"https://www.academia.edu/Documents/in/Fuzzy_set_theory?f_ri=6114"},{"id":5425,"name":"Embodied Mind and Cognition","url":"https://www.academia.edu/Documents/in/Embodied_Mind_and_Cognition?f_ri=6114"},{"id":5457,"name":"Artificial Life","url":"https://www.academia.edu/Documents/in/Artificial_Life?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6144,"name":"Fuzzy Logic Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Control?f_ri=6114"},{"id":6811,"name":"Quantum Theory","url":"https://www.academia.edu/Documents/in/Quantum_Theory?f_ri=6114"},{"id":6813,"name":"Quantum Cosmology","url":"https://www.academia.edu/Documents/in/Quantum_Cosmology?f_ri=6114"},{"id":7881,"name":"Mind Brain \u0026 Education","url":"https://www.academia.edu/Documents/in/Mind_Brain_and_Education?f_ri=6114"},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=6114"},{"id":9739,"name":"Probabilistic Markov Modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_Markov_Modeling?f_ri=6114"},{"id":9796,"name":"Philosophy Of Probability","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Probability?f_ri=6114"},{"id":10092,"name":"Quantum Field Theory","url":"https://www.academia.edu/Documents/in/Quantum_Field_Theory?f_ri=6114"},{"id":10148,"name":"Metaphysics of Mind","url":"https://www.academia.edu/Documents/in/Metaphysics_of_Mind?f_ri=6114"},{"id":10182,"name":"Fuzzy Sets","url":"https://www.academia.edu/Documents/in/Fuzzy_Sets?f_ri=6114"},{"id":10498,"name":"Extended Mind","url":"https://www.academia.edu/Documents/in/Extended_Mind?f_ri=6114"},{"id":10685,"name":"Fuzzy Expert System","url":"https://www.academia.edu/Documents/in/Fuzzy_Expert_System?f_ri=6114"},{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface?f_ri=6114"},{"id":14277,"name":"Brain and Cognitive Development","url":"https://www.academia.edu/Documents/in/Brain_and_Cognitive_Development?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":15468,"name":"The Moros Of Mindanao In Southern Philippines","url":"https://www.academia.edu/Documents/in/The_Moros_Of_Mindanao_In_Southern_Philippines?f_ri=6114"},{"id":16103,"name":"Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_Systems?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":16585,"name":"Quantum Cryptography","url":"https://www.academia.edu/Documents/in/Quantum_Cryptography?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17422,"name":"Dance and the brain","url":"https://www.academia.edu/Documents/in/Dance_and_the_brain?f_ri=6114"},{"id":18420,"name":"Philosophy of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Philosophy_of_Quantum_Mechanics?f_ri=6114"},{"id":20053,"name":"Theory of Mind (Psychology)","url":"https://www.academia.edu/Documents/in/Theory_of_Mind_Psychology_?f_ri=6114"},{"id":20641,"name":"Future of artificial intelligence","url":"https://www.academia.edu/Documents/in/Future_of_artificial_intelligence?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":21593,"name":"Artificial Inteligence","url":"https://www.academia.edu/Documents/in/Artificial_Inteligence?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":23165,"name":"Brain cancer","url":"https://www.academia.edu/Documents/in/Brain_cancer?f_ri=6114"},{"id":25271,"name":"Artificial General Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_General_Intelligence?f_ri=6114"},{"id":26959,"name":"Bayesian Models","url":"https://www.academia.edu/Documents/in/Bayesian_Models?f_ri=6114"},{"id":28226,"name":"Bayesian Radiocarbon Dating","url":"https://www.academia.edu/Documents/in/Bayesian_Radiocarbon_Dating?f_ri=6114"},{"id":28422,"name":"Quantum Computation","url":"https://www.academia.edu/Documents/in/Quantum_Computation?f_ri=6114"},{"id":28512,"name":"Bayesian Networks","url":"https://www.academia.edu/Documents/in/Bayesian_Networks?f_ri=6114"},{"id":28545,"name":"Loop Quantum Gravity","url":"https://www.academia.edu/Documents/in/Loop_Quantum_Gravity?f_ri=6114"},{"id":30078,"name":"MInd-Body Medicine","url":"https://www.academia.edu/Documents/in/MInd-Body_Medicine?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":31812,"name":"Fuzzy Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Control?f_ri=6114"},{"id":31900,"name":"Fuzzy","url":"https://www.academia.edu/Documents/in/Fuzzy?f_ri=6114"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability?f_ri=6114"},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=6114"},{"id":38701,"name":"Bayesian Analysis","url":"https://www.academia.edu/Documents/in/Bayesian_Analysis?f_ri=6114"},{"id":39202,"name":"Mind Mapping","url":"https://www.academia.edu/Documents/in/Mind_Mapping?f_ri=6114"},{"id":39699,"name":"Probabilistic Graphical Models","url":"https://www.academia.edu/Documents/in/Probabilistic_Graphical_Models?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41815,"name":"Applied Probability","url":"https://www.academia.edu/Documents/in/Applied_Probability?f_ri=6114"},{"id":42564,"name":"LEGO Mindstorms","url":"https://www.academia.edu/Documents/in/LEGO_Mindstorms?f_ri=6114"},{"id":43591,"name":"Quantum entanglement","url":"https://www.academia.edu/Documents/in/Quantum_entanglement?f_ri=6114"},{"id":44389,"name":"Artificial Neural Networks for modeling purposes","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks_for_modeling_purposes?f_ri=6114"},{"id":45894,"name":"Philosphy of mind","url":"https://www.academia.edu/Documents/in/Philosphy_of_mind?f_ri=6114"},{"id":48139,"name":"Brain-Based Learning","url":"https://www.academia.edu/Documents/in/Brain-Based_Learning?f_ri=6114"},{"id":48317,"name":"Quantum Dots","url":"https://www.academia.edu/Documents/in/Quantum_Dots?f_ri=6114"},{"id":48333,"name":"Artificial Photosynthesis","url":"https://www.academia.edu/Documents/in/Artificial_Photosynthesis?f_ri=6114"},{"id":48641,"name":"Applied Bayesian Statistics","url":"https://www.academia.edu/Documents/in/Applied_Bayesian_Statistics?f_ri=6114"},{"id":51529,"name":"Bayesian Inference","url":"https://www.academia.edu/Documents/in/Bayesian_Inference?f_ri=6114"},{"id":51883,"name":"Brain Tumor","url":"https://www.academia.edu/Documents/in/Brain_Tumor?f_ri=6114"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=6114"},{"id":53553,"name":"Fuzzy and Neuro-Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_and_Neuro-Fuzzy_Systems?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=6114"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=6114"},{"id":62225,"name":"Fuzzy Logic Programming","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Programming?f_ri=6114"},{"id":72373,"name":"Modularity of Mind","url":"https://www.academia.edu/Documents/in/Modularity_of_Mind?f_ri=6114"},{"id":73837,"name":"Fuzzy Cognitive Maps","url":"https://www.academia.edu/Documents/in/Fuzzy_Cognitive_Maps?f_ri=6114"},{"id":74262,"name":"Philosophy of Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Philosophy_of_Artificial_Intelligence?f_ri=6114"},{"id":74740,"name":"Fuzzy Topology","url":"https://www.academia.edu/Documents/in/Fuzzy_Topology?f_ri=6114"},{"id":76042,"name":"Mindfulness and well being","url":"https://www.academia.edu/Documents/in/Mindfulness_and_well_being?f_ri=6114"},{"id":76958,"name":"Artificial Inteligent","url":"https://www.academia.edu/Documents/in/Artificial_Inteligent?f_ri=6114"},{"id":78871,"name":"Brain Circulation","url":"https://www.academia.edu/Documents/in/Brain_Circulation?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":96917,"name":"Brain machine interface","url":"https://www.academia.edu/Documents/in/Brain_machine_interface?f_ri=6114"},{"id":97301,"name":"Artificial Immune System","url":"https://www.academia.edu/Documents/in/Artificial_Immune_System?f_ri=6114"},{"id":98580,"name":"Mindfulness and Resilience and Psychological Well Being","url":"https://www.academia.edu/Documents/in/Mindfulness_and_Resilience_and_Psychological_Well_Being?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":100094,"name":"Bayesian statistics","url":"https://www.academia.edu/Documents/in/Bayesian_statistics?f_ri=6114"},{"id":100966,"name":"Brain Plasticity","url":"https://www.academia.edu/Documents/in/Brain_Plasticity?f_ri=6114"},{"id":103285,"name":"Mindreading","url":"https://www.academia.edu/Documents/in/Mindreading?f_ri=6114"},{"id":106510,"name":"Brain Science","url":"https://www.academia.edu/Documents/in/Brain_Science?f_ri=6114"},{"id":108301,"name":"Brain Based Learning","url":"https://www.academia.edu/Documents/in/Brain_Based_Learning?f_ri=6114"},{"id":110077,"name":"Mindfulness in Effective Teaching and Learning","url":"https://www.academia.edu/Documents/in/Mindfulness_in_Effective_Teaching_and_Learning?f_ri=6114"},{"id":111330,"name":"Philosophy of Mind (the hard problem of consciousness)","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind_the_hard_problem_of_consciousness_?f_ri=6114"},{"id":113745,"name":"Concussions/ Brain Injury in Athletes","url":"https://www.academia.edu/Documents/in/Concussions_Brain_Injury_in_Athletes?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":141502,"name":"Inteligencia artificial","url":"https://www.academia.edu/Documents/in/Inteligencia_artificial-1?f_ri=6114"},{"id":148631,"name":"Computational Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Computational_Quantum_Chemistry?f_ri=6114"},{"id":149692,"name":"Brain Waves","url":"https://www.academia.edu/Documents/in/Brain_Waves?f_ri=6114"},{"id":181555,"name":"Brain Drain","url":"https://www.academia.edu/Documents/in/Brain_Drain?f_ri=6114"},{"id":182867,"name":"Mindfulness Meditation","url":"https://www.academia.edu/Documents/in/Mindfulness_Meditation?f_ri=6114"},{"id":195341,"name":"Mind-body problem","url":"https://www.academia.edu/Documents/in/Mind-body_problem?f_ri=6114"},{"id":207421,"name":"Brain injury","url":"https://www.academia.edu/Documents/in/Brain_injury?f_ri=6114"},{"id":210877,"name":"Mind Control","url":"https://www.academia.edu/Documents/in/Mind_Control?f_ri=6114"},{"id":241338,"name":"Fuzzy Logic and Its Application","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_and_Its_Application?f_ri=6114"},{"id":251903,"name":"Artificial Intelligence And Techniques","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence_And_Techniques?f_ri=6114"},{"id":251982,"name":"Mindfulness \u0026 CBT","url":"https://www.academia.edu/Documents/in/Mindfulness_and_CBT?f_ri=6114"},{"id":254606,"name":"Determination of artificial sugar","url":"https://www.academia.edu/Documents/in/Determination_of_artificial_sugar?f_ri=6114"},{"id":259198,"name":"Brain Research","url":"https://www.academia.edu/Documents/in/Brain_Research?f_ri=6114"},{"id":261802,"name":"Mind Mapping in Teaching Primary Science","url":"https://www.academia.edu/Documents/in/Mind_Mapping_in_Teaching_Primary_Science?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":315908,"name":"Probability distributions to model air pollutant data","url":"https://www.academia.edu/Documents/in/Probability_distributions_to_model_air_pollutant_data?f_ri=6114"},{"id":343413,"name":"Applied Probability and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Probability_and_Statistics?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":397634,"name":"MINDMAPPING IN MULTIPLE INTELLIGENCES","url":"https://www.academia.edu/Documents/in/MINDMAPPING_IN_MULTIPLE_INTELLIGENCES?f_ri=6114"},{"id":467682,"name":"Fuzzy Logic Controller","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Controller?f_ri=6114"},{"id":484870,"name":"Acquired Brain Injury","url":"https://www.academia.edu/Documents/in/Acquired_Brain_Injury?f_ri=6114"},{"id":499514,"name":"Phylosophy of Mind","url":"https://www.academia.edu/Documents/in/Phylosophy_of_Mind?f_ri=6114"},{"id":510297,"name":"Neuroscience and brain research","url":"https://www.academia.edu/Documents/in/Neuroscience_and_brain_research?f_ri=6114"},{"id":571797,"name":"Introduction to Probability","url":"https://www.academia.edu/Documents/in/Introduction_to_Probability?f_ri=6114"},{"id":617848,"name":"Intuitionistic fuzzy sets","url":"https://www.academia.edu/Documents/in/Intuitionistic_fuzzy_sets?f_ri=6114"},{"id":618122,"name":"Quantum physics and the Law of Attraction","url":"https://www.academia.edu/Documents/in/Quantum_physics_and_the_Law_of_Attraction?f_ri=6114"},{"id":653891,"name":"Probabilistic risk modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_risk_modeling?f_ri=6114"},{"id":677506,"name":"Redes Neuronales Artificiales","url":"https://www.academia.edu/Documents/in/Redes_Neuronales_Artificiales?f_ri=6114"},{"id":853315,"name":"Calculo De Probabilidades","url":"https://www.academia.edu/Documents/in/Calculo_De_Probabilidades?f_ri=6114"},{"id":951924,"name":"Brains Gain","url":"https://www.academia.edu/Documents/in/Brains_Gain?f_ri=6114"},{"id":970636,"name":"Brain and Education","url":"https://www.academia.edu/Documents/in/Brain_and_Education-3?f_ri=6114"},{"id":1000610,"name":"Mind and Brain. Linguistic Strategies of Persuasion (Commercial","url":"https://www.academia.edu/Documents/in/Mind_and_Brain._Linguistic_Strategies_of_Persuasion_Commercial?f_ri=6114"},{"id":1003616,"name":"Bayesian Methods (MCMC)","url":"https://www.academia.edu/Documents/in/Bayesian_Methods_MCMC_?f_ri=6114"},{"id":1004951,"name":"Philosophy of Mind: Imagination","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind_Imagination?f_ri=6114"},{"id":1115400,"name":"Quantum Teaching Strategy on teaching English as Foreign Language","url":"https://www.academia.edu/Documents/in/Quantum_Teaching_Strategy_on_teaching_English_as_Foreign_Language?f_ri=6114"},{"id":1211304,"name":"Artificial Neural Network","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Network?f_ri=6114"},{"id":1223686,"name":"Artificial Intelligent and Soft Computing Methodologies","url":"https://www.academia.edu/Documents/in/Artificial_Intelligent_and_Soft_Computing_Methodologies?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31396959" data-work_id="31396959" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31396959/DCEP_presentation_ppt">DCEP-presentation.ppt</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31396959" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7160eb9f71e11422ae426d7a8a7117eb" rel="nofollow" data-download="{"attachment_id":51768163,"asset_id":31396959,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51768163/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10055576" href="https://independentresearcher.academia.edu/MohammadRifky">Mohammad Rifky</a><script data-card-contents-for-user="10055576" type="text/json">{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}</script></span></span></li><li class="js-paper-rank-work_31396959 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31396959"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31396959, container: ".js-paper-rank-work_31396959", }); });</script></li><li class="js-percentile-work_31396959 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31396959; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31396959"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31396959 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31396959"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31396959; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31396959]").text(description); $(".js-view-count-work_31396959").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31396959").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31396959"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">158</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="66" href="https://www.academia.edu/Documents/in/Agricultural_Engineering">Agricultural Engineering</a>, <script data-card-contents-for-ri="66" type="text/json">{"id":66,"name":"Agricultural Engineering","url":"https://www.academia.edu/Documents/in/Agricultural_Engineering?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="155" href="https://www.academia.edu/Documents/in/Evolutionary_Biology">Evolutionary Biology</a>, <script data-card-contents-for-ri="155" type="text/json">{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="260" href="https://www.academia.edu/Documents/in/Health_Psychology">Health Psychology</a><script data-card-contents-for-ri="260" type="text/json">{"id":260,"name":"Health Psychology","url":"https://www.academia.edu/Documents/in/Health_Psychology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31396959]'), work: {"id":31396959,"title":"DCEP-presentation.ppt","created_at":"2017-02-12T19:21:20.479-08:00","url":"https://www.academia.edu/31396959/DCEP_presentation_ppt?f_ri=6114","dom_id":"work_31396959","summary":null,"downloadable_attachments":[{"id":51768163,"asset_id":31396959,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}],"research_interests":[{"id":66,"name":"Agricultural Engineering","url":"https://www.academia.edu/Documents/in/Agricultural_Engineering?f_ri=6114","nofollow":false},{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":260,"name":"Health Psychology","url":"https://www.academia.edu/Documents/in/Health_Psychology?f_ri=6114","nofollow":false},{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114"},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114"},{"id":586,"name":"Health Sciences","url":"https://www.academia.edu/Documents/in/Health_Sciences?f_ri=6114"},{"id":657,"name":"Veterinary Medicine","url":"https://www.academia.edu/Documents/in/Veterinary_Medicine?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":961,"name":"Health Communication","url":"https://www.academia.edu/Documents/in/Health_Communication?f_ri=6114"},{"id":981,"name":"Health Promotion","url":"https://www.academia.edu/Documents/in/Health_Promotion?f_ri=6114"},{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114"},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":1292,"name":"Health Economics","url":"https://www.academia.edu/Documents/in/Health_Economics?f_ri=6114"},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":2445,"name":"Statistical Signal Processing","url":"https://www.academia.edu/Documents/in/Statistical_Signal_Processing?f_ri=6114"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114"},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2625,"name":"Child and adolescent mental health","url":"https://www.academia.edu/Documents/in/Child_and_adolescent_mental_health?f_ri=6114"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior?f_ri=6114"},{"id":2827,"name":"Mental Health","url":"https://www.academia.edu/Documents/in/Mental_Health?f_ri=6114"},{"id":3037,"name":"Veterinary Microbiology","url":"https://www.academia.edu/Documents/in/Veterinary_Microbiology?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3233,"name":"Animal Studies","url":"https://www.academia.edu/Documents/in/Animal_Studies?f_ri=6114"},{"id":3234,"name":"Animal Ethics","url":"https://www.academia.edu/Documents/in/Animal_Ethics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":3404,"name":"Critical Animal Studies","url":"https://www.academia.edu/Documents/in/Critical_Animal_Studies?f_ri=6114"},{"id":3529,"name":"Organic agriculture","url":"https://www.academia.edu/Documents/in/Organic_agriculture?f_ri=6114"},{"id":3530,"name":"Sustainable agriculture","url":"https://www.academia.edu/Documents/in/Sustainable_agriculture?f_ri=6114"},{"id":3537,"name":"Agricultural Development","url":"https://www.academia.edu/Documents/in/Agricultural_Development?f_ri=6114"},{"id":3549,"name":"Crop genetic diversity","url":"https://www.academia.edu/Documents/in/Crop_genetic_diversity?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4384,"name":"Medical Statistics","url":"https://www.academia.edu/Documents/in/Medical_Statistics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114"},{"id":4485,"name":"Landscape genetics","url":"https://www.academia.edu/Documents/in/Landscape_genetics?f_ri=6114"},{"id":4593,"name":"Occupational Health \u0026 Safety","url":"https://www.academia.edu/Documents/in/Occupational_Health_and_Safety?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4886,"name":"Meta-Analysis (Statistics)","url":"https://www.academia.edu/Documents/in/Meta-Analysis_Statistics_?f_ri=6114"},{"id":5025,"name":"Genetic Programming","url":"https://www.academia.edu/Documents/in/Genetic_Programming?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":5070,"name":"Forensic Genetics","url":"https://www.academia.edu/Documents/in/Forensic_Genetics?f_ri=6114"},{"id":5071,"name":"Genetic Toxicology","url":"https://www.academia.edu/Documents/in/Genetic_Toxicology?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5217,"name":"Genetic Criticism (Genetic Criticism)","url":"https://www.academia.edu/Documents/in/Genetic_Criticism_Genetic_Criticism_?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6535,"name":"Psychiatric \u0026 Mental Health Nursing","url":"https://www.academia.edu/Documents/in/Psychiatric_and_Mental_Health_Nursing?f_ri=6114"},{"id":6553,"name":"History of Public Health","url":"https://www.academia.edu/Documents/in/History_of_Public_Health?f_ri=6114"},{"id":6810,"name":"Public Health Policy","url":"https://www.academia.edu/Documents/in/Public_Health_Policy?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":9861,"name":"Agricultural Sciences","url":"https://www.academia.edu/Documents/in/Agricultural_Sciences?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture?f_ri=6114"},{"id":12204,"name":"Animal Welfare","url":"https://www.academia.edu/Documents/in/Animal_Welfare?f_ri=6114"},{"id":12588,"name":"Origins of Agriculture","url":"https://www.academia.edu/Documents/in/Origins_of_Agriculture?f_ri=6114"},{"id":14406,"name":"Health","url":"https://www.academia.edu/Documents/in/Health?f_ri=6114"},{"id":14483,"name":"Animal Ecology","url":"https://www.academia.edu/Documents/in/Animal_Ecology?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":14934,"name":"Agricultural Biotechnology","url":"https://www.academia.edu/Documents/in/Agricultural_Biotechnology?f_ri=6114"},{"id":14941,"name":"Plant Tissue Culture and Genetic Transformation","url":"https://www.academia.edu/Documents/in/Plant_Tissue_Culture_and_Genetic_Transformation?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":16288,"name":"Public Health","url":"https://www.academia.edu/Documents/in/Public_Health?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17553,"name":"Statistical Machine Translation","url":"https://www.academia.edu/Documents/in/Statistical_Machine_Translation?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":17588,"name":"Fish population genetics","url":"https://www.academia.edu/Documents/in/Fish_population_genetics?f_ri=6114"},{"id":17969,"name":"Health Policy","url":"https://www.academia.edu/Documents/in/Health_Policy?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":20348,"name":"Plant breeding and genetics","url":"https://www.academia.edu/Documents/in/Plant_breeding_and_genetics?f_ri=6114"},{"id":21559,"name":"Health Care Management","url":"https://www.academia.edu/Documents/in/Health_Care_Management?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":22137,"name":"Agricultural extension","url":"https://www.academia.edu/Documents/in/Agricultural_extension?f_ri=6114"},{"id":22298,"name":"Veterinary public health","url":"https://www.academia.edu/Documents/in/Veterinary_public_health?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":22838,"name":"Animal Behaviour","url":"https://www.academia.edu/Documents/in/Animal_Behaviour?f_ri=6114"},{"id":24058,"name":"Animals in Culture","url":"https://www.academia.edu/Documents/in/Animals_in_Culture?f_ri=6114"},{"id":26691,"name":"Statistical Process Control","url":"https://www.academia.edu/Documents/in/Statistical_Process_Control?f_ri=6114"},{"id":26812,"name":"Human-Animal Studies","url":"https://www.academia.edu/Documents/in/Human-Animal_Studies?f_ri=6114"},{"id":28107,"name":"Animal Health Economics","url":"https://www.academia.edu/Documents/in/Animal_Health_Economics?f_ri=6114"},{"id":28577,"name":"Urban Agriculture","url":"https://www.academia.edu/Documents/in/Urban_Agriculture?f_ri=6114"},{"id":28937,"name":"Animal Nutrition","url":"https://www.academia.edu/Documents/in/Animal_Nutrition?f_ri=6114"},{"id":29173,"name":"Genetic Genealogy","url":"https://www.academia.edu/Documents/in/Genetic_Genealogy?f_ri=6114"},{"id":29980,"name":"Animal Production","url":"https://www.academia.edu/Documents/in/Animal_Production?f_ri=6114"},{"id":29991,"name":"Clinical and Molecular Human Genetics","url":"https://www.academia.edu/Documents/in/Clinical_and_Molecular_Human_Genetics?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":35414,"name":"Veterinary","url":"https://www.academia.edu/Documents/in/Veterinary?f_ri=6114"},{"id":37270,"name":"Biology Education","url":"https://www.academia.edu/Documents/in/Biology_Education?f_ri=6114"},{"id":37305,"name":"Statistical Quality Control","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control?f_ri=6114"},{"id":37881,"name":"Animal Husbandry","url":"https://www.academia.edu/Documents/in/Animal_Husbandry?f_ri=6114"},{"id":41013,"name":"Fish Genetics","url":"https://www.academia.edu/Documents/in/Fish_Genetics?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41368,"name":"Genetically Modified Crops","url":"https://www.academia.edu/Documents/in/Genetically_Modified_Crops?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":43294,"name":"Veterinary Science","url":"https://www.academia.edu/Documents/in/Veterinary_Science?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":50994,"name":"Genetics and cytogenetics","url":"https://www.academia.edu/Documents/in/Genetics_and_cytogenetics?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":55487,"name":"Plant Genetic Resources","url":"https://www.academia.edu/Documents/in/Plant_Genetic_Resources?f_ri=6114"},{"id":57139,"name":"History of genetics","url":"https://www.academia.edu/Documents/in/History_of_genetics?f_ri=6114"},{"id":59959,"name":"Research methods and Statistics","url":"https://www.academia.edu/Documents/in/Research_methods_and_Statistics?f_ri=6114"},{"id":67366,"name":"Occupational health and safety","url":"https://www.academia.edu/Documents/in/Occupational_health_and_safety-2?f_ri=6114"},{"id":70099,"name":"Livestock","url":"https://www.academia.edu/Documents/in/Livestock?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":71193,"name":"Transfer of technology for agriculture and livestock farming","url":"https://www.academia.edu/Documents/in/Transfer_of_technology_for_agriculture_and_livestock_farming?f_ri=6114"},{"id":78741,"name":"Animal Husbandry and Livestock","url":"https://www.academia.edu/Documents/in/Animal_Husbandry_and_Livestock?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":83925,"name":"Biologia","url":"https://www.academia.edu/Documents/in/Biologia?f_ri=6114"},{"id":85362,"name":"Descriptive Statistics","url":"https://www.academia.edu/Documents/in/Descriptive_Statistics?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":94901,"name":"Health and Social Care","url":"https://www.academia.edu/Documents/in/Health_and_Social_Care?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=6114"},{"id":109250,"name":"Biología","url":"https://www.academia.edu/Documents/in/Biolog%C3%ADa?f_ri=6114"},{"id":109878,"name":"Epistemologia Genética","url":"https://www.academia.edu/Documents/in/Epistemologia_Genetica?f_ri=6114"},{"id":124526,"name":"Genetically modified organisms","url":"https://www.academia.edu/Documents/in/Genetically_modified_organisms?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":127603,"name":"Livestock Production","url":"https://www.academia.edu/Documents/in/Livestock_Production?f_ri=6114"},{"id":139821,"name":"Molecular Genetics and biotechnology of fisheries and aquaculture","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_biotechnology_of_fisheries_and_aquaculture?f_ri=6114"},{"id":154188,"name":"History of Veterinary Medicine","url":"https://www.academia.edu/Documents/in/History_of_Veterinary_Medicine?f_ri=6114"},{"id":196448,"name":"Medicina Veterinaria","url":"https://www.academia.edu/Documents/in/Medicina_Veterinaria?f_ri=6114"},{"id":223957,"name":"Livestock Management","url":"https://www.academia.edu/Documents/in/Livestock_Management?f_ri=6114"},{"id":230995,"name":"Crime Statistics","url":"https://www.academia.edu/Documents/in/Crime_Statistics?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":265960,"name":"Biologi","url":"https://www.academia.edu/Documents/in/Biologi?f_ri=6114"},{"id":271859,"name":"Genetics and Plant Breeding","url":"https://www.academia.edu/Documents/in/Genetics_and_Plant_Breeding?f_ri=6114"},{"id":290215,"name":"Molecular biology and/or Plant breeding and Genetics of Stress Tolerence","url":"https://www.academia.edu/Documents/in/Molecular_biology_and_or_Plant_breeding_and_Genetics_of_Stress_Tolerence?f_ri=6114"},{"id":291485,"name":"Crítica Genética","url":"https://www.academia.edu/Documents/in/Cr%C3%ADtica_Gen%C3%A9tica?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":420825,"name":"Manual -en español- IBM SPSS Statistics Base 20","url":"https://www.academia.edu/Documents/in/Manual_-en_espanol-_IBM_SPSS_Statistics_Base_20?f_ri=6114"},{"id":444324,"name":"Peternakan","url":"https://www.academia.edu/Documents/in/Peternakan?f_ri=6114"},{"id":471441,"name":"Animal Sciences","url":"https://www.academia.edu/Documents/in/Animal_Sciences?f_ri=6114"},{"id":482809,"name":"DICTIONARY OF BIOTECHNOLOGY AND GENETIC ENGINEERING","url":"https://www.academia.edu/Documents/in/DICTIONARY_OF_BIOTECHNOLOGY_AND_GENETIC_ENGINEERING?f_ri=6114"},{"id":490354,"name":"Veteriner","url":"https://www.academia.edu/Documents/in/Veteriner?f_ri=6114"},{"id":541675,"name":"Livestock and Wildlife","url":"https://www.academia.edu/Documents/in/Livestock_and_Wildlife?f_ri=6114"},{"id":554967,"name":"Sosial Ekonomi Peternakan","url":"https://www.academia.edu/Documents/in/Sosial_Ekonomi_Peternakan?f_ri=6114"},{"id":577933,"name":"Genetic variation","url":"https://www.academia.edu/Documents/in/Genetic_variation?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":580605,"name":"Livestock research","url":"https://www.academia.edu/Documents/in/Livestock_research?f_ri=6114"},{"id":641335,"name":"Ilmu Peternakan (S2)","url":"https://www.academia.edu/Documents/in/Ilmu_Peternakan_S2_?f_ri=6114"},{"id":644860,"name":"Veterinary Sciences","url":"https://www.academia.edu/Documents/in/Veterinary_Sciences?f_ri=6114"},{"id":670860,"name":"Genetic Diversity in Cocoa (Theobroma cacao L.) Germplasm Collection from Ghana","url":"https://www.academia.edu/Documents/in/Genetic_Diversity_in_Cocoa_Theobroma_cacao_L._Germplasm_Collection_from_Ghana?f_ri=6114"},{"id":674235,"name":"Combinatorics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Combinatorics_and_Statistics?f_ri=6114"},{"id":695151,"name":"Climate Change and Its Adaptations by Livestock Farmers","url":"https://www.academia.edu/Documents/in/Climate_Change_and_Its_Adaptations_by_Livestock_Farmers?f_ri=6114"},{"id":931247,"name":"Philosophy and Sociology of Human/animal Relations","url":"https://www.academia.edu/Documents/in/Philosophy_and_Sociology_of_Human_animal_Relations?f_ri=6114"},{"id":1658860,"name":"Perencanaan Pembangunan Peternakan","url":"https://www.academia.edu/Documents/in/Perencanaan_Pembangunan_Peternakan?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3613085" data-work_id="3613085" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3613085/_Nutritional_genomics_an_approach_to_the_genome_environment_interaction_">[Nutritional genomics: an approach to the genome-environment interaction]</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">"Nutritional genomics forms part of the genomic sciences and addresses the interaction between genes and the human diet, its influence on metabolism and subsequent susceptibility to develop common diseases. It encompasses both... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3613085" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"Nutritional genomics forms part of the genomic sciences and <br />addresses the interaction between genes and the human diet, its influence on metabolism and <br />subsequent susceptibility to develop common diseases. It encompasses both nutrigenomics, <br />which explores the effects of nutrients on the genome, proteome and metabolome; and <br />nutrigenetics, that explores the effects of genetic variations on the diet/disease interaction. A <br />number of mechanisms drive the gene/diet interaction: elements in the diet can act as links for <br />transcription factor receptors and alter intermediary concentrations, thereby modifying <br />chromatin and impacting genetic regulation; affect signal pathways, regulating <br />phosphorylation of tyrosine in receptors; decrease signaling through the inositol pathway; and <br />act through epigenetic mechanisms, silencing DNA fragments by methylation of cytosine. The <br />signals generated by polyunsaturated fatty acids are so powerful that they can even bypass <br />insulin mediated lipogenesis, stimulated by carbohydrates. Some fatty acids modify the <br />expression of genes that participate in fatty acid transport by lipoproteins. Nutritional genomics <br />has myriad possible therapeutic and preventive applications: in patients with enzymatic <br />deficiencies; in those with a genetic predisposition to complex diseases such as dyslipidemia, <br />diabetes and cancer; in those that already suffer these diseases; in those with altered mood or <br />memory; during the aging process; in pregnant women; and as a preventive measure in the <br />healthy population."</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3613085" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0e8d8f83dda19ef1110d29c7e3a5dd7f" rel="nofollow" data-download="{"attachment_id":31690980,"asset_id":3613085,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31690980/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="4332334" href="https://hms-harvard.academia.edu/JorgeIvanCastilloQuan">Jorge Iván Castillo-Quan</a><script data-card-contents-for-user="4332334" type="text/json">{"id":4332334,"first_name":"Jorge Iván","last_name":"Castillo-Quan","domain_name":"hms-harvard","page_name":"JorgeIvanCastilloQuan","display_name":"Jorge Iván Castillo-Quan","profile_url":"https://hms-harvard.academia.edu/JorgeIvanCastilloQuan?f_ri=6114","photo":"https://0.academia-photos.com/4332334/1738964/2081421/s65_jorge_ivan.castillo_quan.jpg"}</script></span></span></li><li class="js-paper-rank-work_3613085 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3613085"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3613085, container: ".js-paper-rank-work_3613085", }); });</script></li><li class="js-percentile-work_3613085 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3613085; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3613085"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3613085 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3613085"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3613085; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3613085]").text(description); $(".js-view-count-work_3613085").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3613085").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="3613085"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3058" href="https://www.academia.edu/Documents/in/Biostatistics">Biostatistics</a>, <script data-card-contents-for-ri="3058" type="text/json">{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6478" href="https://www.academia.edu/Documents/in/Nutritional_Epidemiology">Nutritional Epidemiology</a><script data-card-contents-for-ri="6478" type="text/json">{"id":6478,"name":"Nutritional Epidemiology","url":"https://www.academia.edu/Documents/in/Nutritional_Epidemiology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3613085]'), work: {"id":3613085,"title":"[Nutritional genomics: an approach to the genome-environment interaction]","created_at":"2013-05-27T00:28:03.131-07:00","url":"https://www.academia.edu/3613085/_Nutritional_genomics_an_approach_to_the_genome_environment_interaction_?f_ri=6114","dom_id":"work_3613085","summary":"\"Nutritional genomics forms part of the genomic sciences and\r\naddresses the interaction between genes and the human diet, its influence on metabolism and\r\nsubsequent susceptibility to develop common diseases. It encompasses both nutrigenomics,\r\nwhich explores the effects of nutrients on the genome, proteome and metabolome; and\r\nnutrigenetics, that explores the effects of genetic variations on the diet/disease interaction. A\r\nnumber of mechanisms drive the gene/diet interaction: elements in the diet can act as links for\r\ntranscription factor receptors and alter intermediary concentrations, thereby modifying\r\nchromatin and impacting genetic regulation; affect signal pathways, regulating\r\nphosphorylation of tyrosine in receptors; decrease signaling through the inositol pathway; and\r\nact through epigenetic mechanisms, silencing DNA fragments by methylation of cytosine. The\r\nsignals generated by polyunsaturated fatty acids are so powerful that they can even bypass\r\ninsulin mediated lipogenesis, stimulated by carbohydrates. Some fatty acids modify the\r\nexpression of genes that participate in fatty acid transport by lipoproteins. Nutritional genomics\r\nhas myriad possible therapeutic and preventive applications: in patients with enzymatic\r\ndeficiencies; in those with a genetic predisposition to complex diseases such as dyslipidemia,\r\ndiabetes and cancer; in those that already suffer these diseases; in those with altered mood or\r\nmemory; during the aging process; in pregnant women; and as a preventive measure in the\r\nhealthy population.\"","downloadable_attachments":[{"id":31690980,"asset_id":3613085,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4332334,"first_name":"Jorge Iván","last_name":"Castillo-Quan","domain_name":"hms-harvard","page_name":"JorgeIvanCastilloQuan","display_name":"Jorge Iván Castillo-Quan","profile_url":"https://hms-harvard.academia.edu/JorgeIvanCastilloQuan?f_ri=6114","photo":"https://0.academia-photos.com/4332334/1738964/2081421/s65_jorge_ivan.castillo_quan.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":6478,"name":"Nutritional Epidemiology","url":"https://www.academia.edu/Documents/in/Nutritional_Epidemiology?f_ri=6114","nofollow":false},{"id":13577,"name":"Nutrigenomics","url":"https://www.academia.edu/Documents/in/Nutrigenomics?f_ri=6114"},{"id":37849,"name":"Gene-environment interactions","url":"https://www.academia.edu/Documents/in/Gene-environment_interactions?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":189816,"name":"Molecular and Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Molecular_and_Genetic_Epidemiology?f_ri=6114"},{"id":981702,"name":"Genomics and Epigenetics","url":"https://www.academia.edu/Documents/in/Genomics_and_Epigenetics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_369506" data-work_id="369506" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/369506/Genetic_influences_on_serum_bilirubin_in_American_Indians_The_Strong_Heart_Family_Study">Genetic influences on serum bilirubin in American Indians: The Strong Heart Family Study </a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">"Objective: To identify genetic variation influencing serum bilirubin levels in American Indians, we performed genome-wide screening and association analyses in the Strong Heart Family Study. Bilirubin is an endogenous antioxidant that... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_369506" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"Objective: To identify genetic variation influencing serum bilirubin levels in American Indians, we performed genome-wide screening and association analyses in the Strong Heart Family Study. Bilirubin is an endogenous antioxidant that has demonstrated an inverse relationship with cardiovascular disease. Genetic variation within the promoter region of uridine diphosphate glucuronosyltransferase (UGT1A1) on chromosome 2q has been associated with elevated serum bilirubin levels in European populations. However, no study has investigated the UGT1A1 promoter in American Indians. <br /> <br />Methods: Statistical analyses were carried out with 3,484 participants aged 14 to 93 years recruited from three geographic areas in the United States; Arizona, Oklahoma, and North and South Dakota. <br /> <br />Results: Variance components linkage analysis detected a quantitative trait locus (QTL) for bilirubin on chromosome 2q in the combined centers (LOD = 6.61, P = 4.24 × 10−6) and in Oklahoma (LOD = 5.65, P = 4.57 24 × 10−5). Genetic association of the UGT1A1 promoter polymorphism was significant for all geographic locations. After adjustment using conditional linkage for UGT1A1 promoter variance, the linkage signal dropped to 1.10 in the combined sample and to 3.32 (P = 0.02) in Oklahoma, indicating this polymorphism is not completely responsible for the linkage signal in American Indians. We also detected suggestive linkage signals in the Dakotas on chromosome 10p12 (LOD = 2.18) and in the combined centers (LOD = 2.24) on chromosome 10q21. <br /> <br />Conclusions: Replication of a serum bilirubin QTL on chromosome 2q in American Indians implicates UGT1A1 but further genotyping is warranted to identify additional causative polymorphisms. Evidence also supports a potential novel locus for bilirubin on chromosome 10. <br />"</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/369506" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="944bf09ecef3f018f32bc82ac42b6c0f" rel="nofollow" data-download="{"attachment_id":12908959,"asset_id":369506,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/12908959/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_369506 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="369506"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 369506, container: ".js-paper-rank-work_369506", }); });</script></li><li class="js-percentile-work_369506 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 369506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_369506"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_369506 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="369506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 369506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=369506]").text(description); $(".js-view-count-work_369506").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_369506").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="369506"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="767" href="https://www.academia.edu/Documents/in/Anthropology">Anthropology</a>, <script data-card-contents-for-ri="767" type="text/json">{"id":767,"name":"Anthropology","url":"https://www.academia.edu/Documents/in/Anthropology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="768" href="https://www.academia.edu/Documents/in/Biological_Anthropology">Biological Anthropology</a>, <script data-card-contents-for-ri="768" type="text/json">{"id":768,"name":"Biological Anthropology","url":"https://www.academia.edu/Documents/in/Biological_Anthropology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a><script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=369506]'), work: {"id":369506,"title":"Genetic influences on serum bilirubin in American Indians: The Strong Heart Family Study ","created_at":"2010-11-16T04:44:19.215-08:00","url":"https://www.academia.edu/369506/Genetic_influences_on_serum_bilirubin_in_American_Indians_The_Strong_Heart_Family_Study?f_ri=6114","dom_id":"work_369506","summary":"\"Objective: To identify genetic variation influencing serum bilirubin levels in American Indians, we performed genome-wide screening and association analyses in the Strong Heart Family Study. Bilirubin is an endogenous antioxidant that has demonstrated an inverse relationship with cardiovascular disease. Genetic variation within the promoter region of uridine diphosphate glucuronosyltransferase (UGT1A1) on chromosome 2q has been associated with elevated serum bilirubin levels in European populations. However, no study has investigated the UGT1A1 promoter in American Indians.\r\n\r\nMethods: Statistical analyses were carried out with 3,484 participants aged 14 to 93 years recruited from three geographic areas in the United States; Arizona, Oklahoma, and North and South Dakota.\r\n\r\nResults: Variance components linkage analysis detected a quantitative trait locus (QTL) for bilirubin on chromosome 2q in the combined centers (LOD = 6.61, P = 4.24 × 10−6) and in Oklahoma (LOD = 5.65, P = 4.57 24 × 10−5). Genetic association of the UGT1A1 promoter polymorphism was significant for all geographic locations. After adjustment using conditional linkage for UGT1A1 promoter variance, the linkage signal dropped to 1.10 in the combined sample and to 3.32 (P = 0.02) in Oklahoma, indicating this polymorphism is not completely responsible for the linkage signal in American Indians. We also detected suggestive linkage signals in the Dakotas on chromosome 10p12 (LOD = 2.18) and in the combined centers (LOD = 2.24) on chromosome 10q21.\r\n\r\nConclusions: Replication of a serum bilirubin QTL on chromosome 2q in American Indians implicates UGT1A1 but further genotyping is warranted to identify additional causative polymorphisms. Evidence also supports a potential novel locus for bilirubin on chromosome 10.\r\n\"","downloadable_attachments":[{"id":12908959,"asset_id":369506,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":767,"name":"Anthropology","url":"https://www.academia.edu/Documents/in/Anthropology?f_ri=6114","nofollow":false},{"id":768,"name":"Biological Anthropology","url":"https://www.academia.edu/Documents/in/Biological_Anthropology?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":52830,"name":"American Indians","url":"https://www.academia.edu/Documents/in/American_Indians?f_ri=6114"},{"id":129904,"name":"Linkage","url":"https://www.academia.edu/Documents/in/Linkage?f_ri=6114"},{"id":178062,"name":"Bilirubin","url":"https://www.academia.edu/Documents/in/Bilirubin?f_ri=6114"},{"id":228832,"name":"Heart Disease","url":"https://www.academia.edu/Documents/in/Heart_Disease?f_ri=6114"},{"id":279546,"name":"Association","url":"https://www.academia.edu/Documents/in/Association?f_ri=6114"},{"id":687460,"name":"UGT1A1","url":"https://www.academia.edu/Documents/in/UGT1A1?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_80740361" data-work_id="80740361" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/80740361/Genome_wide_association_study_identifies_74_loci_associated_with_educational_attainment">Genome-wide association study identifies 74 loci associated with educational attainment</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_80740361" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environment...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/80740361" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="043ccb4c38e82ebdefd395f0cd7434c2" rel="nofollow" data-download="{"attachment_id":87022371,"asset_id":80740361,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/87022371/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="214484948" href="https://independent.academia.edu/NajafAmin2">Najaf Amin</a><script data-card-contents-for-user="214484948" type="text/json">{"id":214484948,"first_name":"Najaf","last_name":"Amin","domain_name":"independent","page_name":"NajafAmin2","display_name":"Najaf Amin","profile_url":"https://independent.academia.edu/NajafAmin2?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_80740361 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="80740361"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 80740361, container: ".js-paper-rank-work_80740361", }); });</script></li><li class="js-percentile-work_80740361 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80740361; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_80740361"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_80740361 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="80740361"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80740361; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80740361]").text(description); $(".js-view-count-work_80740361").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_80740361").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="80740361"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2674" href="https://www.academia.edu/Documents/in/Intelligence">Intelligence</a>, <script data-card-contents-for-ri="2674" type="text/json">{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3227" href="https://www.academia.edu/Documents/in/Schizophrenia">Schizophrenia</a>, <script data-card-contents-for-ri="3227" type="text/json">{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3230" href="https://www.academia.edu/Documents/in/Bipolar_Disorder">Bipolar Disorder</a>, <script data-card-contents-for-ri="3230" type="text/json">{"id":3230,"name":"Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Bipolar_Disorder?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a><script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=80740361]'), work: {"id":80740361,"title":"Genome-wide association study identifies 74 loci associated with educational attainment","created_at":"2022-06-05T05:50:33.475-07:00","url":"https://www.academia.edu/80740361/Genome_wide_association_study_identifies_74_loci_associated_with_educational_attainment?f_ri=6114","dom_id":"work_80740361","summary":"Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environment...","downloadable_attachments":[{"id":87022371,"asset_id":80740361,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":214484948,"first_name":"Najaf","last_name":"Amin","domain_name":"independent","page_name":"NajafAmin2","display_name":"Najaf Amin","profile_url":"https://independent.academia.edu/NajafAmin2?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false},{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia?f_ri=6114","nofollow":false},{"id":3230,"name":"Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Bipolar_Disorder?f_ri=6114","nofollow":false},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=6114"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":33319,"name":"Nature","url":"https://www.academia.edu/Documents/in/Nature?f_ri=6114"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=6114"},{"id":291274,"name":"Great Britain","url":"https://www.academia.edu/Documents/in/Great_Britain?f_ri=6114"},{"id":546421,"name":"Educational Status","url":"https://www.academia.edu/Documents/in/Educational_Status?f_ri=6114"},{"id":770944,"name":"Fetus","url":"https://www.academia.edu/Documents/in/Fetus?f_ri=6114"},{"id":1120234,"name":"Alzheimer Disease","url":"https://www.academia.edu/Documents/in/Alzheimer_Disease?f_ri=6114"},{"id":1763968,"name":"Gene Expression Regulation","url":"https://www.academia.edu/Documents/in/Gene_Expression_Regulation?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35098109" data-work_id="35098109" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/35098109/How_can_these_ideas_become_part_of_my_dissertation_without_data_to_back_them_up_doc">How can these ideas become part of my dissertation without data to back them up.doc</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Please click here <a href="http://singledrug.com/media/Temporal_Analysis_of_Aging_description.pdf" rel="nofollow">http://singledrug.com/media/Temporal_Analysis_of_Aging_description.pdf</a> to see it. I plan to add the following: I found Osh6 at a very high rank of lifespan extending genes. That is why I want to take all the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35098109" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Please click here <a href="http://singledrug.com/media/Temporal_Analysis_of_Aging_description.pdf" rel="nofollow">http://singledrug.com/media/Temporal_Analysis_of_Aging_description.pdf</a> to see it. <br /> <br />I plan to add the following: <br /> <br />I found Osh6 at a very high rank of lifespan extending genes.  That is why I want to take all the genes that are part of the same molecular function as Osh6 and run an expression similarity analysis on SPELL (Serial Pattern of Expression Levels Locator) (see spell.yeastgenome.org/).  <br /> <br />I hope to find genes of unknown functions that could be involved in the same molecular function.  If I find this, I'll validate with my time series plots and TFBS similarity analysis.  That way I hope to predict the function of an unknown gene in lipid metabolism.  I will also try the opposite approach, i.e. I'll take genes of unknown function and look for a group of similarly expressed genes, which belong to the same GO term. <br /> <br />I added 19 pages to the second chapter.  I was able to further improve the accuracy of my yeast lifespan predicting machine learning algorithm by adding more features about lipids.  My last draft had an average prediction error of +/-5 replications.  Now it is less than +/-3 replication for the 50th percentile of the replicative lifespan.  To my knowledge nobody has published any research on about using machine learning and feature selection to predict the replicative age. <br /> <br />If you have any more ideas how I could make my dissertation look better, I'd be very thankful for any new feasible ideas and inspirations.  I have mainly been using Python and R for all my analysis. <br /> <br />I found that ribosomal RNA and proteins are most closely follow the cell cycle and that if knocked out the yeast's lifespan can be extended significantly.  I want to use the different cyclical periodically recurring and highly fluctuating gene expression oscillation pattern to discover the functions of genes we have not yet discovered.  I am interested in this because a friend of mine showed me a cancer dataset that looked very similar.  Since cancer is very similar to the yeast in that it keeps constantly dividing and hence its age can be expressed in replication we could use the same guilt-by-association approach to infer the functions or at least the way their expression is controlled by TFs from genes with similar temporal expression patterns of genes with already known functions. <br /> <br />When analyzing the time series plots of the 62 yeast chaperons I discovered that their expression plot trajectories can easily be clustered into 7 expression patterns, which are consisted with the 7 classes of yeast chaperons.  If I had only taken the average centroid of all 62 chaperons I would have been misled because using this approach could not be applied to potentially discover more new currently still unknown chaperons because no unknown chaperon would have time series trajectories, which would highly correlate with the average chaperon expression pattern of all 7 classes since their in-group expression pattern is very homogeneous but between the 7 different chaperon classes the expression pattern is very different. <br /> <br />I intended to elucidate the different ways by which we age by a very similar clustering algorithm, which I have developed based on time series curves over three subsequent yeast cell cycle consisting of 36 mRNA measures each about 25 minutes apart; thus, allowing to measure very steep mRNA expression fluctuation periods by manifold within the only 90 minutes of the cell cycle because even very brief but rapid expression changes that last not much longer than 1/12th of a cell cycle, of which I found surprisingly many.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/35098109" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f1e4eae1d99793340c8606c39cc4cecb" rel="nofollow" data-download="{"attachment_id":54959270,"asset_id":35098109,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54959270/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22753760" href="https://ualr.academia.edu/THahn">Thomas Hahn</a><script data-card-contents-for-user="22753760" type="text/json">{"id":22753760,"first_name":"Thomas","last_name":"Hahn","domain_name":"ualr","page_name":"THahn","display_name":"Thomas Hahn","profile_url":"https://ualr.academia.edu/THahn?f_ri=6114","photo":"https://0.academia-photos.com/22753760/6441800/7286482/s65_thomas.hahn.jpg_oh_b606e20873d860beb8fc052dcc6acaf0_oe_553ea07a___gda___1429695490_eacf95c4b294ad320b0a6d822114810a"}</script></span></span></li><li class="js-paper-rank-work_35098109 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35098109"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35098109, container: ".js-paper-rank-work_35098109", }); });</script></li><li class="js-percentile-work_35098109 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 35098109; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35098109"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35098109 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35098109"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35098109; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35098109]").text(description); $(".js-view-count-work_35098109").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35098109").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="35098109"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">161</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="145" href="https://www.academia.edu/Documents/in/Biochemistry">Biochemistry</a>, <script data-card-contents-for-ri="145" type="text/json">{"id":145,"name":"Biochemistry","url":"https://www.academia.edu/Documents/in/Biochemistry?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="155" href="https://www.academia.edu/Documents/in/Evolutionary_Biology">Evolutionary Biology</a>, <script data-card-contents-for-ri="155" type="text/json">{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a><script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35098109]'), work: {"id":35098109,"title":"How can these ideas become part of my dissertation without data to back them up.doc","created_at":"2017-11-09T05:06:25.769-08:00","url":"https://www.academia.edu/35098109/How_can_these_ideas_become_part_of_my_dissertation_without_data_to_back_them_up_doc?f_ri=6114","dom_id":"work_35098109","summary":"Please click here http://singledrug.com/media/Temporal_Analysis_of_Aging_description.pdf to see it. \r\n\r\nI plan to add the following:\r\n\r\nI found Osh6 at a very high rank of lifespan extending genes. That is why I want to take all the genes that are part of the same molecular function as Osh6 and run an expression similarity analysis on SPELL (Serial Pattern of Expression Levels Locator) (see spell.yeastgenome.org/). \r\n\r\nI hope to find genes of unknown functions that could be involved in the same molecular function. If I find this, I'll validate with my time series plots and TFBS similarity analysis. That way I hope to predict the function of an unknown gene in lipid metabolism. I will also try the opposite approach, i.e. I'll take genes of unknown function and look for a group of similarly expressed genes, which belong to the same GO term.\r\n\r\nI added 19 pages to the second chapter. I was able to further improve the accuracy of my yeast lifespan predicting machine learning algorithm by adding more features about lipids. My last draft had an average prediction error of +/-5 replications. Now it is less than +/-3 replication for the 50th percentile of the replicative lifespan. To my knowledge nobody has published any research on about using machine learning and feature selection to predict the replicative age. \r\n\r\nIf you have any more ideas how I could make my dissertation look better, I'd be very thankful for any new feasible ideas and inspirations. I have mainly been using Python and R for all my analysis. \r\n\r\nI found that ribosomal RNA and proteins are most closely follow the cell cycle and that if knocked out the yeast's lifespan can be extended significantly. I want to use the different cyclical periodically recurring and highly fluctuating gene expression oscillation pattern to discover the functions of genes we have not yet discovered. I am interested in this because a friend of mine showed me a cancer dataset that looked very similar. Since cancer is very similar to the yeast in that it keeps constantly dividing and hence its age can be expressed in replication we could use the same guilt-by-association approach to infer the functions or at least the way their expression is controlled by TFs from genes with similar temporal expression patterns of genes with already known functions.\r\n\r\nWhen analyzing the time series plots of the 62 yeast chaperons I discovered that their expression plot trajectories can easily be clustered into 7 expression patterns, which are consisted with the 7 classes of yeast chaperons. If I had only taken the average centroid of all 62 chaperons I would have been misled because using this approach could not be applied to potentially discover more new currently still unknown chaperons because no unknown chaperon would have time series trajectories, which would highly correlate with the average chaperon expression pattern of all 7 classes since their in-group expression pattern is very homogeneous but between the 7 different chaperon classes the expression pattern is very different.\r\n\r\nI intended to elucidate the different ways by which we age by a very similar clustering algorithm, which I have developed based on time series curves over three subsequent yeast cell cycle consisting of 36 mRNA measures each about 25 minutes apart; thus, allowing to measure very steep mRNA expression fluctuation periods by manifold within the only 90 minutes of the cell cycle because even very brief but rapid expression changes that last not much longer than 1/12th of a cell cycle, of which I found surprisingly many. \r\n","downloadable_attachments":[{"id":54959270,"asset_id":35098109,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22753760,"first_name":"Thomas","last_name":"Hahn","domain_name":"ualr","page_name":"THahn","display_name":"Thomas Hahn","profile_url":"https://ualr.academia.edu/THahn?f_ri=6114","photo":"https://0.academia-photos.com/22753760/6441800/7286482/s65_thomas.hahn.jpg_oh_b606e20873d860beb8fc052dcc6acaf0_oe_553ea07a___gda___1429695490_eacf95c4b294ad320b0a6d822114810a"}],"research_interests":[{"id":145,"name":"Biochemistry","url":"https://www.academia.edu/Documents/in/Biochemistry?f_ri=6114","nofollow":false},{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":159,"name":"Microbiology","url":"https://www.academia.edu/Documents/in/Microbiology?f_ri=6114"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=6114"},{"id":772,"name":"Human Evolution","url":"https://www.academia.edu/Documents/in/Human_Evolution?f_ri=6114"},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=6114"},{"id":2048,"name":"Graph Similarity","url":"https://www.academia.edu/Documents/in/Graph_Similarity?f_ri=6114"},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":2616,"name":"Graph Theory","url":"https://www.academia.edu/Documents/in/Graph_Theory?f_ri=6114"},{"id":3212,"name":"Genome assembly","url":"https://www.academia.edu/Documents/in/Genome_assembly?f_ri=6114"},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=6114"},{"id":4341,"name":"Transcriptomics","url":"https://www.academia.edu/Documents/in/Transcriptomics?f_ri=6114"},{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114"},{"id":4549,"name":"Circadian Rhythms","url":"https://www.academia.edu/Documents/in/Circadian_Rhythms?f_ri=6114"},{"id":5025,"name":"Genetic Programming","url":"https://www.academia.edu/Documents/in/Genetic_Programming?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=6114"},{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=6114"},{"id":5460,"name":"Conceptual Metaphor","url":"https://www.academia.edu/Documents/in/Conceptual_Metaphor?f_ri=6114"},{"id":5504,"name":"Comparative Genomics","url":"https://www.academia.edu/Documents/in/Comparative_Genomics?f_ri=6114"},{"id":6065,"name":"DNA MICROARRAYS","url":"https://www.academia.edu/Documents/in/DNA_MICROARRAYS?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6791,"name":"Aging","url":"https://www.academia.edu/Documents/in/Aging?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=6114"},{"id":9113,"name":"Cell Cycle","url":"https://www.academia.edu/Documents/in/Cell_Cycle?f_ri=6114"},{"id":9191,"name":"Network Analysis","url":"https://www.academia.edu/Documents/in/Network_Analysis?f_ri=6114"},{"id":9786,"name":"Proteomics","url":"https://www.academia.edu/Documents/in/Proteomics?f_ri=6114"},{"id":10004,"name":"Omics data integration","url":"https://www.academia.edu/Documents/in/Omics_data_integration?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10408,"name":"Support Vector Machines","url":"https://www.academia.edu/Documents/in/Support_Vector_Machines?f_ri=6114"},{"id":10882,"name":"Evolution","url":"https://www.academia.edu/Documents/in/Evolution?f_ri=6114"},{"id":10937,"name":"Transcription Regulation","url":"https://www.academia.edu/Documents/in/Transcription_Regulation?f_ri=6114"},{"id":11820,"name":"Modeling and Simulation","url":"https://www.academia.edu/Documents/in/Modeling_and_Simulation?f_ri=6114"},{"id":13698,"name":"Digital Image Correlation","url":"https://www.academia.edu/Documents/in/Digital_Image_Correlation?f_ri=6114"},{"id":13744,"name":"Molecular Microbiology","url":"https://www.academia.edu/Documents/in/Molecular_Microbiology?f_ri=6114"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology?f_ri=6114"},{"id":13897,"name":"Personalized Medicine","url":"https://www.academia.edu/Documents/in/Personalized_Medicine?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":14941,"name":"Plant Tissue Culture and Genetic Transformation","url":"https://www.academia.edu/Documents/in/Plant_Tissue_Culture_and_Genetic_Transformation?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15679,"name":"Adult Development And Aging","url":"https://www.academia.edu/Documents/in/Adult_Development_And_Aging?f_ri=6114"},{"id":15719,"name":"Mitochondria","url":"https://www.academia.edu/Documents/in/Mitochondria?f_ri=6114"},{"id":17377,"name":"Fuzzy Time Series","url":"https://www.academia.edu/Documents/in/Fuzzy_Time_Series?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":17693,"name":"Phd Writing","url":"https://www.academia.edu/Documents/in/Phd_Writing?f_ri=6114"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity?f_ri=6114"},{"id":18491,"name":"Molecular Biochemistry","url":"https://www.academia.edu/Documents/in/Molecular_Biochemistry?f_ri=6114"},{"id":18537,"name":"Electronic Theses and Dissertations","url":"https://www.academia.edu/Documents/in/Electronic_Theses_and_Dissertations?f_ri=6114"},{"id":19122,"name":"Time-Series Analysis","url":"https://www.academia.edu/Documents/in/Time-Series_Analysis?f_ri=6114"},{"id":19297,"name":"Microarray Data Analysis","url":"https://www.academia.edu/Documents/in/Microarray_Data_Analysis?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":20348,"name":"Plant breeding and genetics","url":"https://www.academia.edu/Documents/in/Plant_breeding_and_genetics?f_ri=6114"},{"id":22306,"name":"Ecological Genomics","url":"https://www.academia.edu/Documents/in/Ecological_Genomics?f_ri=6114"},{"id":23323,"name":"Transcription Factors","url":"https://www.academia.edu/Documents/in/Transcription_Factors?f_ri=6114"},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114"},{"id":24107,"name":"Ageing and Health","url":"https://www.academia.edu/Documents/in/Ageing_and_Health?f_ri=6114"},{"id":25436,"name":"Stratification","url":"https://www.academia.edu/Documents/in/Stratification?f_ri=6114"},{"id":26399,"name":"Aging \u0026 the life course","url":"https://www.academia.edu/Documents/in/Aging_and_the_life_course?f_ri=6114"},{"id":26681,"name":"Inference of Regulatory Networks","url":"https://www.academia.edu/Documents/in/Inference_of_Regulatory_Networks?f_ri=6114"},{"id":27315,"name":"Sleep \u0026 Circadian Rhythms","url":"https://www.academia.edu/Documents/in/Sleep_and_Circadian_Rhythms?f_ri=6114"},{"id":27784,"name":"Gene expression","url":"https://www.academia.edu/Documents/in/Gene_expression?f_ri=6114"},{"id":29083,"name":"RNA-seq Analysis","url":"https://www.academia.edu/Documents/in/RNA-seq_Analysis?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":30387,"name":"Functional Genomics","url":"https://www.academia.edu/Documents/in/Functional_Genomics?f_ri=6114"},{"id":30485,"name":"Time series analysis","url":"https://www.academia.edu/Documents/in/Time_series_analysis?f_ri=6114"},{"id":33713,"name":"Evolution and Human Behavior","url":"https://www.academia.edu/Documents/in/Evolution_and_Human_Behavior?f_ri=6114"},{"id":33733,"name":"Cognitive Aging","url":"https://www.academia.edu/Documents/in/Cognitive_Aging?f_ri=6114"},{"id":34911,"name":"Evolutionary Genomics","url":"https://www.academia.edu/Documents/in/Evolutionary_Genomics?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":42132,"name":"Transcription","url":"https://www.academia.edu/Documents/in/Transcription?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":43619,"name":"Feature Selection","url":"https://www.academia.edu/Documents/in/Feature_Selection?f_ri=6114"},{"id":43761,"name":"Transcriptome","url":"https://www.academia.edu/Documents/in/Transcriptome?f_ri=6114"},{"id":44236,"name":"Scientific Writing","url":"https://www.academia.edu/Documents/in/Scientific_Writing?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":48981,"name":"Molecular chaperones","url":"https://www.academia.edu/Documents/in/Molecular_chaperones?f_ri=6114"},{"id":49123,"name":"Saccharomyces cerevisiae","url":"https://www.academia.edu/Documents/in/Saccharomyces_cerevisiae?f_ri=6114"},{"id":50271,"name":"Anti-Aging Medicine","url":"https://www.academia.edu/Documents/in/Anti-Aging_Medicine?f_ri=6114"},{"id":50994,"name":"Genetics and cytogenetics","url":"https://www.academia.edu/Documents/in/Genetics_and_cytogenetics?f_ri=6114"},{"id":51794,"name":"Single Cell Genomics","url":"https://www.academia.edu/Documents/in/Single_Cell_Genomics?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":52853,"name":"Immortality","url":"https://www.academia.edu/Documents/in/Immortality?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":55060,"name":"Bioconductor","url":"https://www.academia.edu/Documents/in/Bioconductor?f_ri=6114"},{"id":55487,"name":"Plant Genetic Resources","url":"https://www.academia.edu/Documents/in/Plant_Genetic_Resources?f_ri=6114"},{"id":56655,"name":"Yeast Biotechnology","url":"https://www.academia.edu/Documents/in/Yeast_Biotechnology?f_ri=6114"},{"id":57022,"name":"PhD Thesis","url":"https://www.academia.edu/Documents/in/PhD_Thesis?f_ri=6114"},{"id":61214,"name":"Longevity","url":"https://www.academia.edu/Documents/in/Longevity?f_ri=6114"},{"id":64847,"name":"Biological Immortality","url":"https://www.academia.edu/Documents/in/Biological_Immortality?f_ri=6114"},{"id":65406,"name":"Scholarships for Master and Phd Degree","url":"https://www.academia.edu/Documents/in/Scholarships_for_Master_and_Phd_Degree?f_ri=6114"},{"id":69839,"name":"Dissertations","url":"https://www.academia.edu/Documents/in/Dissertations?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":72924,"name":"Genome Sequencing","url":"https://www.academia.edu/Documents/in/Genome_Sequencing?f_ri=6114"},{"id":81504,"name":"Correlation","url":"https://www.academia.edu/Documents/in/Correlation?f_ri=6114"},{"id":84483,"name":"Genome Wide Association Studies","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":87426,"name":"Regulation of Gene Expression","url":"https://www.academia.edu/Documents/in/Regulation_of_Gene_Expression?f_ri=6114"},{"id":93034,"name":"Honeybees","url":"https://www.academia.edu/Documents/in/Honeybees?f_ri=6114"},{"id":95689,"name":"Healthy Aging","url":"https://www.academia.edu/Documents/in/Healthy_Aging?f_ri=6114"},{"id":98571,"name":"Bioinformatics and Biotechnology","url":"https://www.academia.edu/Documents/in/Bioinformatics_and_Biotechnology?f_ri=6114"},{"id":102490,"name":"Microarrays","url":"https://www.academia.edu/Documents/in/Microarrays?f_ri=6114"},{"id":115876,"name":"Yeast Genetics","url":"https://www.academia.edu/Documents/in/Yeast_Genetics?f_ri=6114"},{"id":116532,"name":"Animal Genomics","url":"https://www.academia.edu/Documents/in/Animal_Genomics?f_ri=6114"},{"id":117915,"name":"Unfolded Protein Response","url":"https://www.academia.edu/Documents/in/Unfolded_Protein_Response?f_ri=6114"},{"id":124526,"name":"Genetically modified organisms","url":"https://www.academia.edu/Documents/in/Genetically_modified_organisms?f_ri=6114"},{"id":129210,"name":"Gene ontology","url":"https://www.academia.edu/Documents/in/Gene_ontology?f_ri=6114"},{"id":133265,"name":"Dissertation","url":"https://www.academia.edu/Documents/in/Dissertation?f_ri=6114"},{"id":133329,"name":"Plant biotechnology and Genomics","url":"https://www.academia.edu/Documents/in/Plant_biotechnology_and_Genomics?f_ri=6114"},{"id":149681,"name":"Teses e Dissertações","url":"https://www.academia.edu/Documents/in/Teses_e_Dissertacoes?f_ri=6114"},{"id":151659,"name":"Yeast","url":"https://www.academia.edu/Documents/in/Yeast?f_ri=6114"},{"id":152697,"name":"Post-Transcriptional Gene Regulation","url":"https://www.academia.edu/Documents/in/Post-Transcriptional_Gene_Regulation?f_ri=6114"},{"id":158810,"name":"Honeybee Research","url":"https://www.academia.edu/Documents/in/Honeybee_Research?f_ri=6114"},{"id":160144,"name":"Feature Extraction","url":"https://www.academia.edu/Documents/in/Feature_Extraction?f_ri=6114"},{"id":177102,"name":"Distance Measures","url":"https://www.academia.edu/Documents/in/Distance_Measures?f_ri=6114"},{"id":181785,"name":"Time Series Data","url":"https://www.academia.edu/Documents/in/Time_Series_Data?f_ri=6114"},{"id":183609,"name":"Aging and Longevity","url":"https://www.academia.edu/Documents/in/Aging_and_Longevity?f_ri=6114"},{"id":183658,"name":"PPI's","url":"https://www.academia.edu/Documents/in/PPIs?f_ri=6114"},{"id":190905,"name":"Periodicity","url":"https://www.academia.edu/Documents/in/Periodicity?f_ri=6114"},{"id":191223,"name":"PhD candidate","url":"https://www.academia.edu/Documents/in/PhD_candidate?f_ri=6114"},{"id":191440,"name":"Fungal proteomics","url":"https://www.academia.edu/Documents/in/Fungal_proteomics?f_ri=6114"},{"id":192481,"name":"Cognitive Enhancement","url":"https://www.academia.edu/Documents/in/Cognitive_Enhancement?f_ri=6114"},{"id":210852,"name":"Gene Regulatory Networks","url":"https://www.academia.edu/Documents/in/Gene_Regulatory_Networks?f_ri=6114"},{"id":213901,"name":"Transcription Factor","url":"https://www.academia.edu/Documents/in/Transcription_Factor?f_ri=6114"},{"id":247267,"name":"Protein-protein interaction networks","url":"https://www.academia.edu/Documents/in/Protein-protein_interaction_networks?f_ri=6114"},{"id":289166,"name":"Immortalization of Cells for Cancer research","url":"https://www.academia.edu/Documents/in/Immortalization_of_Cells_for_Cancer_research?f_ri=6114"},{"id":291485,"name":"Crítica Genética","url":"https://www.academia.edu/Documents/in/Cr%C3%ADtica_Gen%C3%A9tica?f_ri=6114"},{"id":309981,"name":"Human Genome","url":"https://www.academia.edu/Documents/in/Human_Genome?f_ri=6114"},{"id":313518,"name":"Activity patterns","url":"https://www.academia.edu/Documents/in/Activity_patterns?f_ri=6114"},{"id":320555,"name":"Whole Genome Sequencing","url":"https://www.academia.edu/Documents/in/Whole_Genome_Sequencing?f_ri=6114"},{"id":372466,"name":"mRNA","url":"https://www.academia.edu/Documents/in/mRNA?f_ri=6114"},{"id":387554,"name":"Microarray Data Analysis using Statistical Computing and R Programming","url":"https://www.academia.edu/Documents/in/Microarray_Data_Analysis_using_Statistical_Computing_and_R_Programming?f_ri=6114"},{"id":463052,"name":"entomology (HONEYBEE/STINGLESS BEE HEALTH AND NUTRITION)","url":"https://www.academia.edu/Documents/in/entomology_HONEYBEE_STINGLESS_BEE_HEALTH_AND_NUTRITION_?f_ri=6114"},{"id":531205,"name":"Cell Cycle regulation","url":"https://www.academia.edu/Documents/in/Cell_Cycle_regulation?f_ri=6114"},{"id":577933,"name":"Genetic variation","url":"https://www.academia.edu/Documents/in/Genetic_variation?f_ri=6114"},{"id":611814,"name":"Correlation coefficient","url":"https://www.academia.edu/Documents/in/Correlation_coefficient?f_ri=6114"},{"id":626867,"name":"Transcriptomics and Microarray Data Analysis","url":"https://www.academia.edu/Documents/in/Transcriptomics_and_Microarray_Data_Analysis?f_ri=6114"},{"id":663045,"name":"Yeasts","url":"https://www.academia.edu/Documents/in/Yeasts?f_ri=6114"},{"id":666092,"name":"OMICS Biology (Proteomics, Transcriptomics, Genomics) in diseases","url":"https://www.academia.edu/Documents/in/OMICS_Biology_Proteomics_Transcriptomics_Genomics_in_diseases?f_ri=6114"},{"id":701337,"name":"Master's Degree Dissertation","url":"https://www.academia.edu/Documents/in/Masters_Degree_Dissertation?f_ri=6114"},{"id":797458,"name":"PhD Student","url":"https://www.academia.edu/Documents/in/PhD_Student?f_ri=6114"},{"id":798227,"name":"Personalized Medicine and Pharmacogenomics","url":"https://www.academia.edu/Documents/in/Personalized_Medicine_and_Pharmacogenomics?f_ri=6114"},{"id":891449,"name":"Omics","url":"https://www.academia.edu/Documents/in/Omics?f_ri=6114"},{"id":931948,"name":"Gene expression and regulation","url":"https://www.academia.edu/Documents/in/Gene_expression_and_regulation?f_ri=6114"},{"id":981702,"name":"Genomics and Epigenetics","url":"https://www.academia.edu/Documents/in/Genomics_and_Epigenetics?f_ri=6114"},{"id":994807,"name":"Distance Matrix","url":"https://www.academia.edu/Documents/in/Distance_Matrix?f_ri=6114"},{"id":999797,"name":"Gene Expression by qRT PCR","url":"https://www.academia.edu/Documents/in/Gene_Expression_by_qRT_PCR?f_ri=6114"},{"id":999799,"name":"Transcription Analysis by cDNA Technology","url":"https://www.academia.edu/Documents/in/Transcription_Analysis_by_cDNA_Technology?f_ri=6114"},{"id":1003619,"name":"Time Series Analysis and Forecasting","url":"https://www.academia.edu/Documents/in/Time_Series_Analysis_and_Forecasting?f_ri=6114"},{"id":1034460,"name":"Nonlinear Time series Models","url":"https://www.academia.edu/Documents/in/Nonlinear_Time_series_Models?f_ri=6114"},{"id":1115412,"name":"Vector Biology \u0026 Control","url":"https://www.academia.edu/Documents/in/Vector_Biology_and_Control-1?f_ri=6114"},{"id":1437495,"name":"Phase Shift","url":"https://www.academia.edu/Documents/in/Phase_Shift?f_ri=6114"},{"id":1488620,"name":"Ribosomes and Protein Synthesis","url":"https://www.academia.edu/Documents/in/Ribosomes_and_Protein_Synthesis?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28765641" data-work_id="28765641" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28765641/LD_Hub_a_centralized_database_and_web_interface_to_perform_LD_score_regression_that_maximizes_the_potential_of_summary_level_GWAS_data_for_SNP_heritability_and_genetic_correlation_analysis">LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Motivation: LD score regression is a reliable and efficient method of using genome-wide association study (GWAS) summary-level results data to estimate the SNP heritability of complex traits and diseases, partition this heritability into... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28765641" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Motivation: LD score regression is a reliable and efficient method of using genome-wide association study (GWAS) summary-level results data to estimate the SNP heritability of complex traits and diseases, partition this heritability into functional categories, and estimate the genetic correlation between different phenotypes. Because the method relies on summary level results data, LD score regression is computationally tractable even for very large sample sizes. However, publicly available GWAS summary-level data are typically stored in different databases and have different formats, making it difficult to apply LD score regression to estimate genetic correlations across many different traits simultaneously. <br />Results: In this manuscript, we describe LD Hub-a centralized database of summary-level GWAS results for 173 diseases/traits from different publicly available resources/consortia and a web interface that automates the LD score regression analysis pipeline. To demonstrate functionality and validate our software, we replicated previously reported LD score regression analyses of 49 traits/diseases using LD Hub; and estimated SNP herit-ability and the genetic correlation across the different phenotypes. We also present new results obtained by 2 uploading a recent atopic dermatitis GWAS meta-analysis to examine the genetic correlation between the condition and other potentially related traits. In response to the growing availability of publicly accessible GWAS summary-level results data, our database and the accompanying web interface will ensure maximal uptake of the LD score regression methodology, provide a useful database for the public dissemination of GWAS results, and provide a method for easily screening hundreds of traits for overlapping genetic aetiologies. Availability and implementation: The web interface and instructions for using LD Hub are available at <a href="http://ldsc.broadinstitute.org/" rel="nofollow">http://ldsc.broadinstitute.org/</a></div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28765641" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="791a7b448b5b476f0f5b505284a7484c" rel="nofollow" data-download="{"attachment_id":49183657,"asset_id":28765641,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49183657/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1358547" href="https://boehringer-ingelheim.academia.edu/AMesutErzurumluoglu">A. Mesut Erzurumluoglu</a><script data-card-contents-for-user="1358547" type="text/json">{"id":1358547,"first_name":"A. Mesut","last_name":"Erzurumluoglu","domain_name":"boehringer-ingelheim","page_name":"AMesutErzurumluoglu","display_name":"A. Mesut Erzurumluoglu","profile_url":"https://boehringer-ingelheim.academia.edu/AMesutErzurumluoglu?f_ri=6114","photo":"https://0.academia-photos.com/1358547/496411/95165853/s65_a._mesut.erzurumluoglu.png"}</script></span></span></li><li class="js-paper-rank-work_28765641 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28765641"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28765641, container: ".js-paper-rank-work_28765641", }); });</script></li><li class="js-percentile-work_28765641 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 28765641; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_28765641"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_28765641 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="28765641"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 28765641; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=28765641]").text(description); $(".js-view-count-work_28765641").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28765641").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28765641"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23471" href="https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_">Genome Wide Association Studies (GWAS)</a><script data-card-contents-for-ri="23471" type="text/json">{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28765641]'), work: {"id":28765641,"title":"LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis","created_at":"2016-09-28T08:40:51.003-07:00","url":"https://www.academia.edu/28765641/LD_Hub_a_centralized_database_and_web_interface_to_perform_LD_score_regression_that_maximizes_the_potential_of_summary_level_GWAS_data_for_SNP_heritability_and_genetic_correlation_analysis?f_ri=6114","dom_id":"work_28765641","summary":"Motivation: LD score regression is a reliable and efficient method of using genome-wide association study (GWAS) summary-level results data to estimate the SNP heritability of complex traits and diseases, partition this heritability into functional categories, and estimate the genetic correlation between different phenotypes. Because the method relies on summary level results data, LD score regression is computationally tractable even for very large sample sizes. However, publicly available GWAS summary-level data are typically stored in different databases and have different formats, making it difficult to apply LD score regression to estimate genetic correlations across many different traits simultaneously. \nResults: In this manuscript, we describe LD Hub-a centralized database of summary-level GWAS results for 173 diseases/traits from different publicly available resources/consortia and a web interface that automates the LD score regression analysis pipeline. To demonstrate functionality and validate our software, we replicated previously reported LD score regression analyses of 49 traits/diseases using LD Hub; and estimated SNP herit-ability and the genetic correlation across the different phenotypes. We also present new results obtained by 2 uploading a recent atopic dermatitis GWAS meta-analysis to examine the genetic correlation between the condition and other potentially related traits. In response to the growing availability of publicly accessible GWAS summary-level results data, our database and the accompanying web interface will ensure maximal uptake of the LD score regression methodology, provide a useful database for the public dissemination of GWAS results, and provide a method for easily screening hundreds of traits for overlapping genetic aetiologies. Availability and implementation: The web interface and instructions for using LD Hub are available at http://ldsc.broadinstitute.org/","downloadable_attachments":[{"id":49183657,"asset_id":28765641,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1358547,"first_name":"A. Mesut","last_name":"Erzurumluoglu","domain_name":"boehringer-ingelheim","page_name":"AMesutErzurumluoglu","display_name":"A. Mesut Erzurumluoglu","profile_url":"https://boehringer-ingelheim.academia.edu/AMesutErzurumluoglu?f_ri=6114","photo":"https://0.academia-photos.com/1358547/496411/95165853/s65_a._mesut.erzurumluoglu.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false},{"id":2537367,"name":"LD Score Regression","url":"https://www.academia.edu/Documents/in/LD_Score_Regression?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_13469702 coauthored" data-work_id="13469702" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13469702/H3M2_detection_of_runs_of_homozygosity_from_whole_exome_sequencing_data">H3M2: detection of runs of homozygosity from whole-exome sequencing data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Runs of homozygosity (ROH) are sizable chromosomal stretches of homozygous genotypes, ranging in length from tens of kilobases to megabases. ROHs can be relevant for population and medical genetics, playing a role in predisposition to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13469702" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Runs of homozygosity (ROH) are sizable chromosomal stretches of homozygous genotypes, ranging in length from tens of kilobases to megabases. ROHs can be relevant for population and medical genetics, playing a role in predisposition to both rare and common disorders. ROHs are commonly detected by single nucleotide polymorphism (SNP) microarrays, but attempts have been made to use whole-exome sequencing (WES) data. Currently available methods developed for the analysis of uniformly spaced SNP-array maps do not fit easily to the analysis of the sparse and non-uniform distribution of the WES target design. To meet the need of an approach specifically tailored to WES data, we developed [Formula: see text], an original algorithm based on heterogeneous hidden Markov model that incorporates inter-marker distances to detect ROH from WES data. We evaluated the performance of [Formula: see text] to correctly identify ROHs on synthetic chromosomes and examined its accuracy in detecting ROHs of ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13469702" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8150cbef728c1a53688882b5748667c0" rel="nofollow" data-download="{"attachment_id":45306423,"asset_id":13469702,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45306423/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32693296" href="https://aiccon.academia.edu/FlaviaPalombo">Flavia Palombo</a><script data-card-contents-for-user="32693296" type="text/json">{"id":32693296,"first_name":"Flavia","last_name":"Palombo","domain_name":"aiccon","page_name":"FlaviaPalombo","display_name":"Flavia Palombo","profile_url":"https://aiccon.academia.edu/FlaviaPalombo?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-13469702">+1</span><div class="hidden js-additional-users-13469702"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/AlessandroGialluisi">Alessandro Gialluisi</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-13469702'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-13469702').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_13469702 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="13469702"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 13469702, container: ".js-paper-rank-work_13469702", }); });</script></li><li class="js-percentile-work_13469702 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13469702; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_13469702"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_13469702 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="13469702"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13469702; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13469702]").text(description); $(".js-view-count-work_13469702").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_13469702").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="13469702"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3216" href="https://www.academia.edu/Documents/in/Genomics">Genomics</a>, <script data-card-contents-for-ri="3216" type="text/json">{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5398" href="https://www.academia.edu/Documents/in/Biotechnology">Biotechnology</a><script data-card-contents-for-ri="5398" type="text/json">{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13469702]'), work: {"id":13469702,"title":"H3M2: detection of runs of homozygosity from whole-exome sequencing data","created_at":"2015-07-01T02:08:07.520-07:00","url":"https://www.academia.edu/13469702/H3M2_detection_of_runs_of_homozygosity_from_whole_exome_sequencing_data?f_ri=6114","dom_id":"work_13469702","summary":"Runs of homozygosity (ROH) are sizable chromosomal stretches of homozygous genotypes, ranging in length from tens of kilobases to megabases. ROHs can be relevant for population and medical genetics, playing a role in predisposition to both rare and common disorders. ROHs are commonly detected by single nucleotide polymorphism (SNP) microarrays, but attempts have been made to use whole-exome sequencing (WES) data. Currently available methods developed for the analysis of uniformly spaced SNP-array maps do not fit easily to the analysis of the sparse and non-uniform distribution of the WES target design. To meet the need of an approach specifically tailored to WES data, we developed [Formula: see text], an original algorithm based on heterogeneous hidden Markov model that incorporates inter-marker distances to detect ROH from WES data. We evaluated the performance of [Formula: see text] to correctly identify ROHs on synthetic chromosomes and examined its accuracy in detecting ROHs of ...","downloadable_attachments":[{"id":45306423,"asset_id":13469702,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32693296,"first_name":"Flavia","last_name":"Palombo","domain_name":"aiccon","page_name":"FlaviaPalombo","display_name":"Flavia Palombo","profile_url":"https://aiccon.academia.edu/FlaviaPalombo?f_ri=6114","photo":"/images/s65_no_pic.png"},{"id":21691153,"first_name":"Alessandro","last_name":"Gialluisi","domain_name":"independent","page_name":"AlessandroGialluisi","display_name":"Alessandro Gialluisi","profile_url":"https://independent.academia.edu/AlessandroGialluisi?f_ri=6114","photo":"https://0.academia-photos.com/21691153/5959252/6764296/s65_alessandro.gialluisi.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=6114","nofollow":false},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false},{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=6114"},{"id":372410,"name":"Genotype","url":"https://www.academia.edu/Documents/in/Genotype?f_ri=6114"},{"id":1634669,"name":"Exome","url":"https://www.academia.edu/Documents/in/Exome?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5851056" data-work_id="5851056" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5851056/Molecular_characterization_of_some_Egyptian_date_palm_germplasm_using_RAPD_and_ISSR_markers">Molecular characterization of some Egyptian date palm germplasm using RAPD and ISSR markers</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5851056" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="23c2810d10866e5574f25339731ccc4a" rel="nofollow" data-download="{"attachment_id":32851071,"asset_id":5851056,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32851071/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8621870" href="https://msa.academia.edu/SamerIsmail">Samer Ismail</a><script data-card-contents-for-user="8621870" type="text/json">{"id":8621870,"first_name":"Samer","last_name":"Ismail","domain_name":"msa","page_name":"SamerIsmail","display_name":"Samer Ismail","profile_url":"https://msa.academia.edu/SamerIsmail?f_ri=6114","photo":"https://0.academia-photos.com/8621870/2874013/15137132/s65_samer.ismail.jpg"}</script></span></span></li><li class="js-paper-rank-work_5851056 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5851056"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5851056, container: ".js-paper-rank-work_5851056", }); });</script></li><li class="js-percentile-work_5851056 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5851056; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5851056"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5851056 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5851056"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5851056; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5851056]").text(description); $(".js-view-count-work_5851056").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5851056").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5851056"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4480" href="https://www.academia.edu/Documents/in/Population_Genetics">Population Genetics</a>, <script data-card-contents-for-ri="4480" type="text/json">{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4481" href="https://www.academia.edu/Documents/in/Evolutionary_genetics">Evolutionary genetics</a>, <script data-card-contents-for-ri="4481" type="text/json">{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a><script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5851056]'), work: {"id":5851056,"title":"Molecular characterization of some Egyptian date palm germplasm using RAPD and ISSR markers","created_at":"2014-01-26T20:21:50.066-08:00","url":"https://www.academia.edu/5851056/Molecular_characterization_of_some_Egyptian_date_palm_germplasm_using_RAPD_and_ISSR_markers?f_ri=6114","dom_id":"work_5851056","summary":null,"downloadable_attachments":[{"id":32851071,"asset_id":5851056,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8621870,"first_name":"Samer","last_name":"Ismail","domain_name":"msa","page_name":"SamerIsmail","display_name":"Samer Ismail","profile_url":"https://msa.academia.edu/SamerIsmail?f_ri=6114","photo":"https://0.academia-photos.com/8621870/2874013/15137132/s65_samer.ismail.jpg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":53305,"name":"Plant molecular genetics, plant genetics, plant breeding, cytogenetics, genetic variation, phylogenetics","url":"https://www.academia.edu/Documents/in/Plant_molecular_genetics_plant_genetics_plant_breeding_cytogenetics_genetic_variation_phylogene?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":153640,"name":"RAPD","url":"https://www.academia.edu/Documents/in/RAPD?f_ri=6114"},{"id":154690,"name":"ISSR","url":"https://www.academia.edu/Documents/in/ISSR?f_ri=6114"},{"id":193448,"name":"RAPD MARKERS","url":"https://www.academia.edu/Documents/in/RAPD_MARKERS?f_ri=6114"},{"id":245877,"name":"phoenix dactylifera L","url":"https://www.academia.edu/Documents/in/phoenix_dactylifera_L?f_ri=6114"},{"id":652279,"name":"Rapd Analysis","url":"https://www.academia.edu/Documents/in/Rapd_Analysis?f_ri=6114"},{"id":751802,"name":"RAPD-PCR","url":"https://www.academia.edu/Documents/in/RAPD-PCR?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31436234" data-work_id="31436234" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31436234/Detecting_use_QTL_Content_9">Detecting use QTL - Content 9</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31436234" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="41576bbb61d2af4acff25b12f56d1e30" rel="nofollow" data-download="{"attachment_id":51798214,"asset_id":31436234,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51798214/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10055576" href="https://independentresearcher.academia.edu/MohammadRifky">Mohammad Rifky</a><script data-card-contents-for-user="10055576" type="text/json">{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}</script></span></span></li><li class="js-paper-rank-work_31436234 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31436234"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31436234, container: ".js-paper-rank-work_31436234", }); });</script></li><li class="js-percentile-work_31436234 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31436234; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31436234"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31436234 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31436234"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31436234; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31436234]").text(description); $(".js-view-count-work_31436234").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31436234").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31436234"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">95</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="520" href="https://www.academia.edu/Documents/in/Statistical_Mechanics">Statistical Mechanics</a>, <script data-card-contents-for-ri="520" type="text/json">{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1035" href="https://www.academia.edu/Documents/in/Animal_Science">Animal Science</a><script data-card-contents-for-ri="1035" type="text/json">{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31436234]'), work: {"id":31436234,"title":"Detecting use QTL - Content 9","created_at":"2017-02-14T17:56:10.990-08:00","url":"https://www.academia.edu/31436234/Detecting_use_QTL_Content_9?f_ri=6114","dom_id":"work_31436234","summary":null,"downloadable_attachments":[{"id":51798214,"asset_id":31436234,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false},{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114"},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior?f_ri=6114"},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114"},{"id":3233,"name":"Animal Studies","url":"https://www.academia.edu/Documents/in/Animal_Studies?f_ri=6114"},{"id":3234,"name":"Animal Ethics","url":"https://www.academia.edu/Documents/in/Animal_Ethics?f_ri=6114"},{"id":3404,"name":"Critical Animal Studies","url":"https://www.academia.edu/Documents/in/Critical_Animal_Studies?f_ri=6114"},{"id":3529,"name":"Organic agriculture","url":"https://www.academia.edu/Documents/in/Organic_agriculture?f_ri=6114"},{"id":3530,"name":"Sustainable agriculture","url":"https://www.academia.edu/Documents/in/Sustainable_agriculture?f_ri=6114"},{"id":3549,"name":"Crop genetic diversity","url":"https://www.academia.edu/Documents/in/Crop_genetic_diversity?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114"},{"id":5025,"name":"Genetic Programming","url":"https://www.academia.edu/Documents/in/Genetic_Programming?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":5070,"name":"Forensic Genetics","url":"https://www.academia.edu/Documents/in/Forensic_Genetics?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":8952,"name":"Breeding","url":"https://www.academia.edu/Documents/in/Breeding?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture?f_ri=6114"},{"id":12204,"name":"Animal Welfare","url":"https://www.academia.edu/Documents/in/Animal_Welfare?f_ri=6114"},{"id":12540,"name":"Marker assisted plant breeding","url":"https://www.academia.edu/Documents/in/Marker_assisted_plant_breeding?f_ri=6114"},{"id":12588,"name":"Origins of Agriculture","url":"https://www.academia.edu/Documents/in/Origins_of_Agriculture?f_ri=6114"},{"id":13827,"name":"Cell Biology","url":"https://www.academia.edu/Documents/in/Cell_Biology?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":14907,"name":"Industrial Biotechnology","url":"https://www.academia.edu/Documents/in/Industrial_Biotechnology?f_ri=6114"},{"id":14927,"name":"Agriculture (Biology)","url":"https://www.academia.edu/Documents/in/Agriculture_Biology_?f_ri=6114"},{"id":14934,"name":"Agricultural Biotechnology","url":"https://www.academia.edu/Documents/in/Agricultural_Biotechnology?f_ri=6114"},{"id":14938,"name":"Molecular Breeding","url":"https://www.academia.edu/Documents/in/Molecular_Breeding?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":16645,"name":"Microbial biotechnology","url":"https://www.academia.edu/Documents/in/Microbial_biotechnology?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":18225,"name":"Plant biotechnology","url":"https://www.academia.edu/Documents/in/Plant_biotechnology?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":20348,"name":"Plant breeding and genetics","url":"https://www.academia.edu/Documents/in/Plant_breeding_and_genetics?f_ri=6114"},{"id":22251,"name":"Agriculture and Food Studies","url":"https://www.academia.edu/Documents/in/Agriculture_and_Food_Studies?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":22838,"name":"Animal Behaviour","url":"https://www.academia.edu/Documents/in/Animal_Behaviour?f_ri=6114"},{"id":23219,"name":"Sustainable Agriculture (Sustainability)","url":"https://www.academia.edu/Documents/in/Sustainable_Agriculture_Sustainability_?f_ri=6114"},{"id":24058,"name":"Animals in Culture","url":"https://www.academia.edu/Documents/in/Animals_in_Culture?f_ri=6114"},{"id":28577,"name":"Urban Agriculture","url":"https://www.academia.edu/Documents/in/Urban_Agriculture?f_ri=6114"},{"id":29173,"name":"Genetic Genealogy","url":"https://www.academia.edu/Documents/in/Genetic_Genealogy?f_ri=6114"},{"id":29980,"name":"Animal Production","url":"https://www.academia.edu/Documents/in/Animal_Production?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":33760,"name":"Environmental Biotechnology","url":"https://www.academia.edu/Documents/in/Environmental_Biotechnology?f_ri=6114"},{"id":37270,"name":"Biology Education","url":"https://www.academia.edu/Documents/in/Biology_Education?f_ri=6114"},{"id":37881,"name":"Animal Husbandry","url":"https://www.academia.edu/Documents/in/Animal_Husbandry?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":47305,"name":"Pharmaceutical Biotechnology","url":"https://www.academia.edu/Documents/in/Pharmaceutical_Biotechnology?f_ri=6114"},{"id":48579,"name":"Microbial Biotechnology","url":"https://www.academia.edu/Documents/in/Microbial_Biotechnology-1?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":70099,"name":"Livestock","url":"https://www.academia.edu/Documents/in/Livestock?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":71193,"name":"Transfer of technology for agriculture and livestock farming","url":"https://www.academia.edu/Documents/in/Transfer_of_technology_for_agriculture_and_livestock_farming?f_ri=6114"},{"id":71823,"name":"Ecofriendly Livestock Production Management","url":"https://www.academia.edu/Documents/in/Ecofriendly_Livestock_Production_Management?f_ri=6114"},{"id":73035,"name":"Microbiology and Biotechnology","url":"https://www.academia.edu/Documents/in/Microbiology_and_Biotechnology?f_ri=6114"},{"id":78741,"name":"Animal Husbandry and Livestock","url":"https://www.academia.edu/Documents/in/Animal_Husbandry_and_Livestock?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":84243,"name":"Medical Biotechnology","url":"https://www.academia.edu/Documents/in/Medical_Biotechnology?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":98571,"name":"Bioinformatics and Biotechnology","url":"https://www.academia.edu/Documents/in/Bioinformatics_and_Biotechnology?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":103011,"name":"Plant Biotechnology and Molecular Biology","url":"https://www.academia.edu/Documents/in/Plant_Biotechnology_and_Molecular_Biology?f_ri=6114"},{"id":124526,"name":"Genetically modified organisms","url":"https://www.academia.edu/Documents/in/Genetically_modified_organisms?f_ri=6114"},{"id":139821,"name":"Molecular Genetics and biotechnology of fisheries and aquaculture","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_biotechnology_of_fisheries_and_aquaculture?f_ri=6114"},{"id":146682,"name":"Animal Breeding","url":"https://www.academia.edu/Documents/in/Animal_Breeding?f_ri=6114"},{"id":223957,"name":"Livestock Management","url":"https://www.academia.edu/Documents/in/Livestock_Management?f_ri=6114"},{"id":242140,"name":"Mushroom Cultivation and Breeding","url":"https://www.academia.edu/Documents/in/Mushroom_Cultivation_and_Breeding?f_ri=6114"},{"id":255562,"name":"Biochemistry and Biotechnology","url":"https://www.academia.edu/Documents/in/Biochemistry_and_Biotechnology?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":271859,"name":"Genetics and Plant Breeding","url":"https://www.academia.edu/Documents/in/Genetics_and_Plant_Breeding?f_ri=6114"},{"id":290215,"name":"Molecular biology and/or Plant breeding and Genetics of Stress Tolerence","url":"https://www.academia.edu/Documents/in/Molecular_biology_and_or_Plant_breeding_and_Genetics_of_Stress_Tolerence?f_ri=6114"},{"id":444324,"name":"Peternakan","url":"https://www.academia.edu/Documents/in/Peternakan?f_ri=6114"},{"id":471441,"name":"Animal Sciences","url":"https://www.academia.edu/Documents/in/Animal_Sciences?f_ri=6114"},{"id":477036,"name":"Animal Science and Industry","url":"https://www.academia.edu/Documents/in/Animal_Science_and_Industry?f_ri=6114"},{"id":577933,"name":"Genetic variation","url":"https://www.academia.edu/Documents/in/Genetic_variation?f_ri=6114"},{"id":641335,"name":"Ilmu Peternakan (S2)","url":"https://www.academia.edu/Documents/in/Ilmu_Peternakan_S2_?f_ri=6114"},{"id":855214,"name":"Agriculture engineering","url":"https://www.academia.edu/Documents/in/Agriculture_engineering?f_ri=6114"},{"id":1563793,"name":"Fakultas Peternakan Dan Pertanian","url":"https://www.academia.edu/Documents/in/Fakultas_Peternakan_Dan_Pertanian?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31360255" data-work_id="31360255" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31360255/BLUP_Properties_4">BLUP-Properties-4</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31360255" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3b089ef6d53a2f20cbfdc3a1e7c96392" rel="nofollow" data-download="{"attachment_id":51739605,"asset_id":31360255,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51739605/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10055576" href="https://independentresearcher.academia.edu/MohammadRifky">Mohammad Rifky</a><script data-card-contents-for-user="10055576" type="text/json">{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}</script></span></span></li><li class="js-paper-rank-work_31360255 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31360255"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31360255, container: ".js-paper-rank-work_31360255", }); });</script></li><li class="js-percentile-work_31360255 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31360255; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31360255"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31360255 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31360255"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31360255; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31360255]").text(description); $(".js-view-count-work_31360255").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31360255").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31360255"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">67</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1035" href="https://www.academia.edu/Documents/in/Animal_Science">Animal Science</a>, <script data-card-contents-for-ri="1035" type="text/json">{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2467" href="https://www.academia.edu/Documents/in/Conservation_Biology">Conservation Biology</a>, <script data-card-contents-for-ri="2467" type="text/json">{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2513" href="https://www.academia.edu/Documents/in/Molecular_Biology">Molecular Biology</a><script data-card-contents-for-ri="2513" type="text/json">{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31360255]'), work: {"id":31360255,"title":"BLUP-Properties-4","created_at":"2017-02-10T17:08:40.330-08:00","url":"https://www.academia.edu/31360255/BLUP_Properties_4?f_ri=6114","dom_id":"work_31360255","summary":null,"downloadable_attachments":[{"id":51739605,"asset_id":31360255,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114","nofollow":false},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114","nofollow":false},{"id":2960,"name":"The industrialization of agriculture: vertical coordination in the US food system.","url":"https://www.academia.edu/Documents/in/The_industrialization_of_agriculture_vertical_coordination_in_the_US_food_system?f_ri=6114"},{"id":3233,"name":"Animal Studies","url":"https://www.academia.edu/Documents/in/Animal_Studies?f_ri=6114"},{"id":3404,"name":"Critical Animal Studies","url":"https://www.academia.edu/Documents/in/Critical_Animal_Studies?f_ri=6114"},{"id":3529,"name":"Organic agriculture","url":"https://www.academia.edu/Documents/in/Organic_agriculture?f_ri=6114"},{"id":3530,"name":"Sustainable agriculture","url":"https://www.academia.edu/Documents/in/Sustainable_agriculture?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":8952,"name":"Breeding","url":"https://www.academia.edu/Documents/in/Breeding?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture?f_ri=6114"},{"id":12204,"name":"Animal Welfare","url":"https://www.academia.edu/Documents/in/Animal_Welfare?f_ri=6114"},{"id":14938,"name":"Molecular Breeding","url":"https://www.academia.edu/Documents/in/Molecular_Breeding?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":22251,"name":"Agriculture and Food Studies","url":"https://www.academia.edu/Documents/in/Agriculture_and_Food_Studies?f_ri=6114"},{"id":23219,"name":"Sustainable Agriculture (Sustainability)","url":"https://www.academia.edu/Documents/in/Sustainable_Agriculture_Sustainability_?f_ri=6114"},{"id":29980,"name":"Animal Production","url":"https://www.academia.edu/Documents/in/Animal_Production?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":37270,"name":"Biology Education","url":"https://www.academia.edu/Documents/in/Biology_Education?f_ri=6114"},{"id":37881,"name":"Animal Husbandry","url":"https://www.academia.edu/Documents/in/Animal_Husbandry?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":50994,"name":"Genetics and cytogenetics","url":"https://www.academia.edu/Documents/in/Genetics_and_cytogenetics?f_ri=6114"},{"id":53305,"name":"Plant molecular genetics, plant genetics, plant breeding, cytogenetics, genetic variation, phylogenetics","url":"https://www.academia.edu/Documents/in/Plant_molecular_genetics_plant_genetics_plant_breeding_cytogenetics_genetic_variation_phylogene?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":70099,"name":"Livestock","url":"https://www.academia.edu/Documents/in/Livestock?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":71193,"name":"Transfer of technology for agriculture and livestock farming","url":"https://www.academia.edu/Documents/in/Transfer_of_technology_for_agriculture_and_livestock_farming?f_ri=6114"},{"id":71823,"name":"Ecofriendly Livestock Production Management","url":"https://www.academia.edu/Documents/in/Ecofriendly_Livestock_Production_Management?f_ri=6114"},{"id":71824,"name":"LIvestock Production ,animal welfare","url":"https://www.academia.edu/Documents/in/LIvestock_Production_animal_welfare?f_ri=6114"},{"id":74355,"name":"Livestock Waste Management","url":"https://www.academia.edu/Documents/in/Livestock_Waste_Management?f_ri=6114"},{"id":78741,"name":"Animal Husbandry and Livestock","url":"https://www.academia.edu/Documents/in/Animal_Husbandry_and_Livestock?f_ri=6114"},{"id":83925,"name":"Biologia","url":"https://www.academia.edu/Documents/in/Biologia?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":105058,"name":"Mutation breeding","url":"https://www.academia.edu/Documents/in/Mutation_breeding?f_ri=6114"},{"id":127603,"name":"Livestock Production","url":"https://www.academia.edu/Documents/in/Livestock_Production?f_ri=6114"},{"id":139821,"name":"Molecular Genetics and biotechnology of fisheries and aquaculture","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_biotechnology_of_fisheries_and_aquaculture?f_ri=6114"},{"id":146682,"name":"Animal Breeding","url":"https://www.academia.edu/Documents/in/Animal_Breeding?f_ri=6114"},{"id":198973,"name":"Livestock Products Technology","url":"https://www.academia.edu/Documents/in/Livestock_Products_Technology?f_ri=6114"},{"id":223957,"name":"Livestock Management","url":"https://www.academia.edu/Documents/in/Livestock_Management?f_ri=6114"},{"id":259900,"name":"Livestock Production Systems","url":"https://www.academia.edu/Documents/in/Livestock_Production_Systems?f_ri=6114"},{"id":265960,"name":"Biologi","url":"https://www.academia.edu/Documents/in/Biologi?f_ri=6114"},{"id":290215,"name":"Molecular biology and/or Plant breeding and Genetics of Stress Tolerence","url":"https://www.academia.edu/Documents/in/Molecular_biology_and_or_Plant_breeding_and_Genetics_of_Stress_Tolerence?f_ri=6114"},{"id":291485,"name":"Crítica Genética","url":"https://www.academia.edu/Documents/in/Cr%C3%ADtica_Gen%C3%A9tica?f_ri=6114"},{"id":305260,"name":"Pertanian","url":"https://www.academia.edu/Documents/in/Pertanian?f_ri=6114"},{"id":432167,"name":"Pendidikan Biologi","url":"https://www.academia.edu/Documents/in/Pendidikan_Biologi?f_ri=6114"},{"id":444324,"name":"Peternakan","url":"https://www.academia.edu/Documents/in/Peternakan?f_ri=6114"},{"id":541675,"name":"Livestock and Wildlife","url":"https://www.academia.edu/Documents/in/Livestock_and_Wildlife?f_ri=6114"},{"id":554967,"name":"Sosial Ekonomi Peternakan","url":"https://www.academia.edu/Documents/in/Sosial_Ekonomi_Peternakan?f_ri=6114"},{"id":580605,"name":"Livestock research","url":"https://www.academia.edu/Documents/in/Livestock_research?f_ri=6114"},{"id":641335,"name":"Ilmu Peternakan (S2)","url":"https://www.academia.edu/Documents/in/Ilmu_Peternakan_S2_?f_ri=6114"},{"id":695151,"name":"Climate Change and Its Adaptations by Livestock Farmers","url":"https://www.academia.edu/Documents/in/Climate_Change_and_Its_Adaptations_by_Livestock_Farmers?f_ri=6114"},{"id":855214,"name":"Agriculture engineering","url":"https://www.academia.edu/Documents/in/Agriculture_engineering?f_ri=6114"},{"id":969017,"name":"Livestock Production Economics","url":"https://www.academia.edu/Documents/in/Livestock_Production_Economics?f_ri=6114"},{"id":973784,"name":"Livestock Marketing","url":"https://www.academia.edu/Documents/in/Livestock_Marketing?f_ri=6114"},{"id":1013276,"name":"Veterinary (Livestock","url":"https://www.academia.edu/Documents/in/Veterinary_Livestock?f_ri=6114"},{"id":1563793,"name":"Fakultas Peternakan Dan Pertanian","url":"https://www.academia.edu/Documents/in/Fakultas_Peternakan_Dan_Pertanian?f_ri=6114"},{"id":1658860,"name":"Perencanaan Pembangunan Peternakan","url":"https://www.academia.edu/Documents/in/Perencanaan_Pembangunan_Peternakan?f_ri=6114"},{"id":1954155,"name":"Teknologi Dan Manajemen Peternakan","url":"https://www.academia.edu/Documents/in/Teknologi_Dan_Manajemen_Peternakan?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31360221" data-work_id="31360221" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31360221/BLUP_how_It_Work_a_19">BLUP how It Work-a-19.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A joint evaluation of all animals, uses all additive genetic relationships uses all data on all animal jointly It works as a linear model (correcting different effects for each other), jointly estimates animal effects and fixed effects... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31360221" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A joint evaluation of all animals, uses all additive genetic relationships uses all data on all animal jointly It works as a linear model (correcting different effects for each other), jointly estimates animal effects and fixed effects (herds) but has Selection Index properties (Regression with " heritability ")</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31360221" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c173e31883f1e5dad9cf29b1e0532724" rel="nofollow" data-download="{"attachment_id":51739592,"asset_id":31360221,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51739592/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10055576" href="https://independentresearcher.academia.edu/MohammadRifky">Mohammad Rifky</a><script data-card-contents-for-user="10055576" type="text/json">{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}</script></span></span></li><li class="js-paper-rank-work_31360221 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31360221"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31360221, container: ".js-paper-rank-work_31360221", }); });</script></li><li class="js-percentile-work_31360221 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31360221; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31360221"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31360221 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31360221"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31360221; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31360221]").text(description); $(".js-view-count-work_31360221").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31360221").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31360221"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">54</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="66" href="https://www.academia.edu/Documents/in/Agricultural_Engineering">Agricultural Engineering</a>, <script data-card-contents-for-ri="66" type="text/json">{"id":66,"name":"Agricultural Engineering","url":"https://www.academia.edu/Documents/in/Agricultural_Engineering?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1035" href="https://www.academia.edu/Documents/in/Animal_Science">Animal Science</a>, <script data-card-contents-for-ri="1035" type="text/json">{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2467" href="https://www.academia.edu/Documents/in/Conservation_Biology">Conservation Biology</a><script data-card-contents-for-ri="2467" type="text/json">{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31360221]'), work: {"id":31360221,"title":"BLUP how It Work-a-19.","created_at":"2017-02-10T17:03:36.876-08:00","url":"https://www.academia.edu/31360221/BLUP_how_It_Work_a_19?f_ri=6114","dom_id":"work_31360221","summary":"A joint evaluation of all animals, uses all additive genetic relationships uses all data on all animal jointly It works as a linear model (correcting different effects for each other), jointly estimates animal effects and fixed effects (herds) but has Selection Index properties (Regression with \" heritability \")","downloadable_attachments":[{"id":51739592,"asset_id":31360221,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10055576,"first_name":"Mohammad","last_name":"Rifky","domain_name":"independentresearcher","page_name":"MohammadRifky","display_name":"Mohammad Rifky","profile_url":"https://independentresearcher.academia.edu/MohammadRifky?f_ri=6114","photo":"https://0.academia-photos.com/10055576/3788340/15869352/s65_mohammad.rifky.jpg"}],"research_interests":[{"id":66,"name":"Agricultural Engineering","url":"https://www.academia.edu/Documents/in/Agricultural_Engineering?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":1035,"name":"Animal Science","url":"https://www.academia.edu/Documents/in/Animal_Science?f_ri=6114","nofollow":false},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology?f_ri=6114","nofollow":false},{"id":2513,"name":"Molecular Biology","url":"https://www.academia.edu/Documents/in/Molecular_Biology?f_ri=6114"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior?f_ri=6114"},{"id":3233,"name":"Animal Studies","url":"https://www.academia.edu/Documents/in/Animal_Studies?f_ri=6114"},{"id":3404,"name":"Critical Animal Studies","url":"https://www.academia.edu/Documents/in/Critical_Animal_Studies?f_ri=6114"},{"id":3529,"name":"Organic agriculture","url":"https://www.academia.edu/Documents/in/Organic_agriculture?f_ri=6114"},{"id":3530,"name":"Sustainable agriculture","url":"https://www.academia.edu/Documents/in/Sustainable_agriculture?f_ri=6114"},{"id":4209,"name":"Conservation Genetics","url":"https://www.academia.edu/Documents/in/Conservation_Genetics?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=6114"},{"id":5070,"name":"Forensic Genetics","url":"https://www.academia.edu/Documents/in/Forensic_Genetics?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7312,"name":"Agricultural Economics","url":"https://www.academia.edu/Documents/in/Agricultural_Economics?f_ri=6114"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":9861,"name":"Agricultural Sciences","url":"https://www.academia.edu/Documents/in/Agricultural_Sciences?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":22137,"name":"Agricultural extension","url":"https://www.academia.edu/Documents/in/Agricultural_extension?f_ri=6114"},{"id":22251,"name":"Agriculture and Food Studies","url":"https://www.academia.edu/Documents/in/Agriculture_and_Food_Studies?f_ri=6114"},{"id":24058,"name":"Animals in Culture","url":"https://www.academia.edu/Documents/in/Animals_in_Culture?f_ri=6114"},{"id":28577,"name":"Urban Agriculture","url":"https://www.academia.edu/Documents/in/Urban_Agriculture?f_ri=6114"},{"id":29980,"name":"Animal Production","url":"https://www.academia.edu/Documents/in/Animal_Production?f_ri=6114"},{"id":30329,"name":"Genetic Algorithm","url":"https://www.academia.edu/Documents/in/Genetic_Algorithm?f_ri=6114"},{"id":37270,"name":"Biology Education","url":"https://www.academia.edu/Documents/in/Biology_Education?f_ri=6114"},{"id":37881,"name":"Animal Husbandry","url":"https://www.academia.edu/Documents/in/Animal_Husbandry?f_ri=6114"},{"id":41749,"name":"Genetic Engineering","url":"https://www.academia.edu/Documents/in/Genetic_Engineering?f_ri=6114"},{"id":43028,"name":"Genetic Diversity","url":"https://www.academia.edu/Documents/in/Genetic_Diversity?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":50994,"name":"Genetics and cytogenetics","url":"https://www.academia.edu/Documents/in/Genetics_and_cytogenetics?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":70103,"name":"Animal breeding and genetics","url":"https://www.academia.edu/Documents/in/Animal_breeding_and_genetics?f_ri=6114"},{"id":83925,"name":"Biologia","url":"https://www.academia.edu/Documents/in/Biologia?f_ri=6114"},{"id":86370,"name":"Genetica","url":"https://www.academia.edu/Documents/in/Genetica?f_ri=6114"},{"id":139821,"name":"Molecular Genetics and biotechnology of fisheries and aquaculture","url":"https://www.academia.edu/Documents/in/Molecular_Genetics_and_biotechnology_of_fisheries_and_aquaculture?f_ri=6114"},{"id":146682,"name":"Animal Breeding","url":"https://www.academia.edu/Documents/in/Animal_Breeding?f_ri=6114"},{"id":255572,"name":"Animal Breeding \u0026 Genetics","url":"https://www.academia.edu/Documents/in/Animal_Breeding_and_Genetics-1?f_ri=6114"},{"id":265960,"name":"Biologi","url":"https://www.academia.edu/Documents/in/Biologi?f_ri=6114"},{"id":291485,"name":"Crítica Genética","url":"https://www.academia.edu/Documents/in/Cr%C3%ADtica_Gen%C3%A9tica?f_ri=6114"},{"id":432167,"name":"Pendidikan Biologi","url":"https://www.academia.edu/Documents/in/Pendidikan_Biologi?f_ri=6114"},{"id":444324,"name":"Peternakan","url":"https://www.academia.edu/Documents/in/Peternakan?f_ri=6114"},{"id":533167,"name":"GENETICS AND ANIMAL BREEDING FOR SUSTAINABLE AGRICULTURAL DEVELOPMENT","url":"https://www.academia.edu/Documents/in/GENETICS_AND_ANIMAL_BREEDING_FOR_SUSTAINABLE_AGRICULTURAL_DEVELOPMENT?f_ri=6114"},{"id":554967,"name":"Sosial Ekonomi Peternakan","url":"https://www.academia.edu/Documents/in/Sosial_Ekonomi_Peternakan?f_ri=6114"},{"id":641335,"name":"Ilmu Peternakan (S2)","url":"https://www.academia.edu/Documents/in/Ilmu_Peternakan_S2_?f_ri=6114"},{"id":731440,"name":"On Animal Genetics and Breeding","url":"https://www.academia.edu/Documents/in/On_Animal_Genetics_and_Breeding?f_ri=6114"},{"id":1314631,"name":"Animal Genetics and Breeding","url":"https://www.academia.edu/Documents/in/Animal_Genetics_and_Breeding?f_ri=6114"},{"id":1563793,"name":"Fakultas Peternakan Dan Pertanian","url":"https://www.academia.edu/Documents/in/Fakultas_Peternakan_Dan_Pertanian?f_ri=6114"},{"id":1582908,"name":"Animal and poultry breeding and production","url":"https://www.academia.edu/Documents/in/Animal_and_poultry_breeding_and_production?f_ri=6114"},{"id":1658860,"name":"Perencanaan Pembangunan Peternakan","url":"https://www.academia.edu/Documents/in/Perencanaan_Pembangunan_Peternakan?f_ri=6114"},{"id":1954155,"name":"Teknologi Dan Manajemen Peternakan","url":"https://www.academia.edu/Documents/in/Teknologi_Dan_Manajemen_Peternakan?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_30470156" data-work_id="30470156" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/30470156/Genetic_Analysis_Workshop_19_methods_and_strategies_for_analyzing_human_sequence_and_gene_expression_data_in_extended_families_and_unrelated_individuals">Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">The user has requested enhancement of the downloaded file. All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30470156" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="46c96754ead1583a8ac838da6894805a" rel="nofollow" data-download="{"attachment_id":50910168,"asset_id":30470156,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50910168/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_30470156 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="30470156"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 30470156, container: ".js-paper-rank-work_30470156", }); });</script></li><li class="js-percentile-work_30470156 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30470156; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_30470156"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_30470156 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="30470156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30470156; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30470156]").text(description); $(".js-view-count-work_30470156").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_30470156").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="30470156"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="27784" href="https://www.academia.edu/Documents/in/Gene_expression">Gene expression</a><script data-card-contents-for-ri="27784" type="text/json">{"id":27784,"name":"Gene expression","url":"https://www.academia.edu/Documents/in/Gene_expression?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=30470156]'), work: {"id":30470156,"title":"Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals","created_at":"2016-12-15T17:33:44.834-08:00","url":"https://www.academia.edu/30470156/Genetic_Analysis_Workshop_19_methods_and_strategies_for_analyzing_human_sequence_and_gene_expression_data_in_extended_families_and_unrelated_individuals?f_ri=6114","dom_id":"work_30470156","summary":"The user has requested enhancement of the downloaded file. All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.","downloadable_attachments":[{"id":50910168,"asset_id":30470156,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":27784,"name":"Gene expression","url":"https://www.academia.edu/Documents/in/Gene_expression?f_ri=6114","nofollow":false},{"id":320555,"name":"Whole Genome Sequencing","url":"https://www.academia.edu/Documents/in/Whole_Genome_Sequencing?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10145943" data-work_id="10145943" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10145943/HDTD">HDTD</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">An R/Bioconductor package to analyze high-dimensional transposable data (creator, co-author, maintainer).<br />Co-authors: Simon Tavaré and John C. Marioni</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10145943" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4a2f0f67cbff421d05a68527c4725509" rel="nofollow" data-download="{"attachment_id":47790196,"asset_id":10145943,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47790196/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="24757317" href="https://brighton.academia.edu/AnestisTouloumis">Anestis Touloumis</a><script data-card-contents-for-user="24757317" type="text/json">{"id":24757317,"first_name":"Anestis","last_name":"Touloumis","domain_name":"brighton","page_name":"AnestisTouloumis","display_name":"Anestis Touloumis","profile_url":"https://brighton.academia.edu/AnestisTouloumis?f_ri=6114","photo":"https://0.academia-photos.com/24757317/6700635/7582666/s65_anestis.touloumis.jpg"}</script></span></span></li><li class="js-paper-rank-work_10145943 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10145943"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10145943, container: ".js-paper-rank-work_10145943", }); });</script></li><li class="js-percentile-work_10145943 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 10145943; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_10145943"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_10145943 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="10145943"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 10145943; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=10145943]").text(description); $(".js-view-count-work_10145943").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_10145943").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="10145943"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="55060" href="https://www.academia.edu/Documents/in/Bioconductor">Bioconductor</a>, <script data-card-contents-for-ri="55060" type="text/json">{"id":55060,"name":"Bioconductor","url":"https://www.academia.edu/Documents/in/Bioconductor?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="198462" href="https://www.academia.edu/Documents/in/Statistical_software">Statistical software</a>, <script data-card-contents-for-ri="198462" type="text/json">{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1007210" href="https://www.academia.edu/Documents/in/High_Dimensional_Inference">High Dimensional Inference</a><script data-card-contents-for-ri="1007210" type="text/json">{"id":1007210,"name":"High Dimensional Inference","url":"https://www.academia.edu/Documents/in/High_Dimensional_Inference?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=10145943]'), work: {"id":10145943,"title":"HDTD","created_at":"2015-01-13T10:04:54.728-08:00","url":"https://www.academia.edu/10145943/HDTD?f_ri=6114","dom_id":"work_10145943","summary":"An R/Bioconductor package to analyze high-dimensional transposable data (creator, co-author, maintainer).\nCo-authors: Simon Tavaré and John C. Marioni","downloadable_attachments":[{"id":47790196,"asset_id":10145943,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":24757317,"first_name":"Anestis","last_name":"Touloumis","domain_name":"brighton","page_name":"AnestisTouloumis","display_name":"Anestis Touloumis","profile_url":"https://brighton.academia.edu/AnestisTouloumis?f_ri=6114","photo":"https://0.academia-photos.com/24757317/6700635/7582666/s65_anestis.touloumis.jpg"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":55060,"name":"Bioconductor","url":"https://www.academia.edu/Documents/in/Bioconductor?f_ri=6114","nofollow":false},{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114","nofollow":false},{"id":1007210,"name":"High Dimensional Inference","url":"https://www.academia.edu/Documents/in/High_Dimensional_Inference?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5851054" data-work_id="5851054" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5851054/Genomic_diversity_in_date_palm_Phoenix_dactylifera_L_as_revealed_by_AFLPs_in_comparison_to_RAPDs_and_ISSRs">Genomic diversity in date palm (Phoenix dactylifera L.) as revealed by AFLPs in comparison to RAPDs and ISSRs</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5851054" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c07a0ca156be6265b8464ed6a807bbf0" rel="nofollow" data-download="{"attachment_id":32851070,"asset_id":5851054,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32851070/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8621870" href="https://msa.academia.edu/SamerIsmail">Samer Ismail</a><script data-card-contents-for-user="8621870" type="text/json">{"id":8621870,"first_name":"Samer","last_name":"Ismail","domain_name":"msa","page_name":"SamerIsmail","display_name":"Samer Ismail","profile_url":"https://msa.academia.edu/SamerIsmail?f_ri=6114","photo":"https://0.academia-photos.com/8621870/2874013/15137132/s65_samer.ismail.jpg"}</script></span></span></li><li class="js-paper-rank-work_5851054 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5851054"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5851054, container: ".js-paper-rank-work_5851054", }); });</script></li><li class="js-percentile-work_5851054 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5851054; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5851054"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5851054 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5851054"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5851054; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5851054]").text(description); $(".js-view-count-work_5851054").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5851054").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5851054"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4480" href="https://www.academia.edu/Documents/in/Population_Genetics">Population Genetics</a>, <script data-card-contents-for-ri="4480" type="text/json">{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4481" href="https://www.academia.edu/Documents/in/Evolutionary_genetics">Evolutionary genetics</a>, <script data-card-contents-for-ri="4481" type="text/json">{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a><script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5851054]'), work: {"id":5851054,"title":"Genomic diversity in date palm (Phoenix dactylifera L.) as revealed by AFLPs in comparison to RAPDs and ISSRs","created_at":"2014-01-26T20:21:49.089-08:00","url":"https://www.academia.edu/5851054/Genomic_diversity_in_date_palm_Phoenix_dactylifera_L_as_revealed_by_AFLPs_in_comparison_to_RAPDs_and_ISSRs?f_ri=6114","dom_id":"work_5851054","summary":null,"downloadable_attachments":[{"id":32851070,"asset_id":5851054,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8621870,"first_name":"Samer","last_name":"Ismail","domain_name":"msa","page_name":"SamerIsmail","display_name":"Samer Ismail","profile_url":"https://msa.academia.edu/SamerIsmail?f_ri=6114","photo":"https://0.academia-photos.com/8621870/2874013/15137132/s65_samer.ismail.jpg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false},{"id":4481,"name":"Evolutionary genetics","url":"https://www.academia.edu/Documents/in/Evolutionary_genetics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":19632,"name":"Molecular Genetics","url":"https://www.academia.edu/Documents/in/Molecular_Genetics?f_ri=6114"},{"id":53305,"name":"Plant molecular genetics, plant genetics, plant breeding, cytogenetics, genetic variation, phylogenetics","url":"https://www.academia.edu/Documents/in/Plant_molecular_genetics_plant_genetics_plant_breeding_cytogenetics_genetic_variation_phylogene?f_ri=6114"},{"id":54381,"name":"Molecular Biology and genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_and_genetics?f_ri=6114"},{"id":153640,"name":"RAPD","url":"https://www.academia.edu/Documents/in/RAPD?f_ri=6114"},{"id":154690,"name":"ISSR","url":"https://www.academia.edu/Documents/in/ISSR?f_ri=6114"},{"id":155134,"name":"AFLP Marker","url":"https://www.academia.edu/Documents/in/AFLP_Marker?f_ri=6114"},{"id":193448,"name":"RAPD MARKERS","url":"https://www.academia.edu/Documents/in/RAPD_MARKERS?f_ri=6114"},{"id":245877,"name":"phoenix dactylifera L","url":"https://www.academia.edu/Documents/in/phoenix_dactylifera_L?f_ri=6114"},{"id":510989,"name":"AFLP","url":"https://www.academia.edu/Documents/in/AFLP?f_ri=6114"},{"id":652279,"name":"Rapd Analysis","url":"https://www.academia.edu/Documents/in/Rapd_Analysis?f_ri=6114"},{"id":751802,"name":"RAPD-PCR","url":"https://www.academia.edu/Documents/in/RAPD-PCR?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_51152100" data-work_id="51152100" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/51152100/Correlation_between_COVID_19_Patients_Characteristics_and_Mortality_with_the_Disease_in_the_Gambia">Correlation between COVID-19 Patients' Characteristics and Mortality with the Disease in the Gambia</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background. A new coronavirus strain known as Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) is responsible for the global pandemic that began in 2019 and continues to plague the planet. The disease's epidemiological features... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_51152100" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background. A new coronavirus strain known as Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) is responsible for the global pandemic that began in 2019 and continues to plague the planet. The disease's epidemiological features in Africa are different from those in other continents. The aim of this study is to establish the relationship that exists between COVID-19 patients' demographics, symptoms, comorbidities and the risk of COVID-19-related mortality in the Gambia between April 4, 2020 and March 31, 2021. Design. The researchers studied 3547 confirmed positive COVID-19 anonymized cases derived from the DHIS2 database in a retrospective cohort analysis. The factors analyzed include the demographics of the cases, their signs and symptoms, and their comorbidities. The main outcome of interest was death with COVID-19. Results. For the time period under consideration, 3547 anonymized positive COVID-19 events were analyzed. The fatality rate was 0.56%, with a median age of 60.5 (50-71) for those who died with COVID-19 and the pvalue < 0.001. Males are more likely to develop the disease and die from it (63.1% and 85%, respectively). Except for age and sex (both p < 0.05), all factors studied were considered to be statistically insignificantly correlated with the outcome. Cough (11.1%), fever (9.4%), and shortness of breath (4.3%) were the most common signs and symptoms identified by the cases. 4.62 % and 18.1 % of all confirmed positive COVID-19 cases, respectively, had one of the comorbidities and reported one of the COVID-19 signs and symptoms in TABLE 1. There was no statistically significant association between the signs and symptoms or the comorbidities and the outcome. CVD (2.7%), diabetes (1.5%), and ARDS (0.8%) and CLD (0.4%) were the most often identified comorbidities among the cases. Symptoms and comorbidities were reported more often by survivors than those who died with COVID-19. Age, shortness of breath, and diabetes all increase the risk of death with COVID-19, as per the multivariate logistic regression. In this analysis, however, only age was a significant predictor of mortality with COVID-19. Interpretation. The findings of our analysis are consistent with those of the Lusaka cohort, which reported that advanced age increased mortality with COVID-19, and that the most common comorbidities were CVD (hypertension) and diabetes, with a higher proportion of male COVID-19 cases. To better understand the characteristics of COVID-19 hospitalized cases in relation to death with COVID-19, length of hospitalization, and treatment, further exploratory data analysis is needed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/51152100" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5e70b7e525fdc99098cc54d185c75659" rel="nofollow" data-download="{"attachment_id":68990299,"asset_id":51152100,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68990299/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="107427713" href="https://unigam.academia.edu/Touray">Mustapha Touray</a><script data-card-contents-for-user="107427713" type="text/json">{"id":107427713,"first_name":"Mustapha","last_name":"Touray","domain_name":"unigam","page_name":"Touray","display_name":"Mustapha Touray","profile_url":"https://unigam.academia.edu/Touray?f_ri=6114","photo":"https://0.academia-photos.com/107427713/63316605/51620869/s65_mustapha.touray.jpg"}</script></span></span></li><li class="js-paper-rank-work_51152100 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51152100"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51152100, container: ".js-paper-rank-work_51152100", }); });</script></li><li class="js-percentile-work_51152100 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51152100; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_51152100"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_51152100 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="51152100"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51152100; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51152100]").text(description); $(".js-view-count-work_51152100").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_51152100").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="51152100"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="20099" href="https://www.academia.edu/Documents/in/Sensitivity_Analysis">Sensitivity Analysis</a>, <script data-card-contents-for-ri="20099" type="text/json">{"id":20099,"name":"Sensitivity Analysis","url":"https://www.academia.edu/Documents/in/Sensitivity_Analysis?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23892" href="https://www.academia.edu/Documents/in/Multivariate_Data_Analysis">Multivariate Data Analysis</a>, <script data-card-contents-for-ri="23892" type="text/json">{"id":23892,"name":"Multivariate Data Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Data_Analysis?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="62711" href="https://www.academia.edu/Documents/in/Cancer_Genomics">Cancer Genomics</a><script data-card-contents-for-ri="62711" type="text/json">{"id":62711,"name":"Cancer Genomics","url":"https://www.academia.edu/Documents/in/Cancer_Genomics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=51152100]'), work: {"id":51152100,"title":"Correlation between COVID-19 Patients' Characteristics and Mortality with the Disease in the Gambia","created_at":"2021-09-02T01:35:53.982-07:00","url":"https://www.academia.edu/51152100/Correlation_between_COVID_19_Patients_Characteristics_and_Mortality_with_the_Disease_in_the_Gambia?f_ri=6114","dom_id":"work_51152100","summary":"Background. A new coronavirus strain known as Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) is responsible for the global pandemic that began in 2019 and continues to plague the planet. The disease's epidemiological features in Africa are different from those in other continents. The aim of this study is to establish the relationship that exists between COVID-19 patients' demographics, symptoms, comorbidities and the risk of COVID-19-related mortality in the Gambia between April 4, 2020 and March 31, 2021. Design. The researchers studied 3547 confirmed positive COVID-19 anonymized cases derived from the DHIS2 database in a retrospective cohort analysis. The factors analyzed include the demographics of the cases, their signs and symptoms, and their comorbidities. The main outcome of interest was death with COVID-19. Results. For the time period under consideration, 3547 anonymized positive COVID-19 events were analyzed. The fatality rate was 0.56%, with a median age of 60.5 (50-71) for those who died with COVID-19 and the pvalue \u003c 0.001. Males are more likely to develop the disease and die from it (63.1% and 85%, respectively). Except for age and sex (both p \u003c 0.05), all factors studied were considered to be statistically insignificantly correlated with the outcome. Cough (11.1%), fever (9.4%), and shortness of breath (4.3%) were the most common signs and symptoms identified by the cases. 4.62 % and 18.1 % of all confirmed positive COVID-19 cases, respectively, had one of the comorbidities and reported one of the COVID-19 signs and symptoms in TABLE 1. There was no statistically significant association between the signs and symptoms or the comorbidities and the outcome. CVD (2.7%), diabetes (1.5%), and ARDS (0.8%) and CLD (0.4%) were the most often identified comorbidities among the cases. Symptoms and comorbidities were reported more often by survivors than those who died with COVID-19. Age, shortness of breath, and diabetes all increase the risk of death with COVID-19, as per the multivariate logistic regression. In this analysis, however, only age was a significant predictor of mortality with COVID-19. Interpretation. The findings of our analysis are consistent with those of the Lusaka cohort, which reported that advanced age increased mortality with COVID-19, and that the most common comorbidities were CVD (hypertension) and diabetes, with a higher proportion of male COVID-19 cases. To better understand the characteristics of COVID-19 hospitalized cases in relation to death with COVID-19, length of hospitalization, and treatment, further exploratory data analysis is needed.","downloadable_attachments":[{"id":68990299,"asset_id":51152100,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":107427713,"first_name":"Mustapha","last_name":"Touray","domain_name":"unigam","page_name":"Touray","display_name":"Mustapha Touray","profile_url":"https://unigam.academia.edu/Touray?f_ri=6114","photo":"https://0.academia-photos.com/107427713/63316605/51620869/s65_mustapha.touray.jpg"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":20099,"name":"Sensitivity Analysis","url":"https://www.academia.edu/Documents/in/Sensitivity_Analysis?f_ri=6114","nofollow":false},{"id":23892,"name":"Multivariate Data Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Data_Analysis?f_ri=6114","nofollow":false},{"id":62711,"name":"Cancer Genomics","url":"https://www.academia.edu/Documents/in/Cancer_Genomics?f_ri=6114","nofollow":false},{"id":99244,"name":"Clinical epidemiology, randomised trials, quasi-experiments and patient cohort studies","url":"https://www.academia.edu/Documents/in/Clinical_epidemiology_randomised_trials_quasi-experiments_and_patient_cohort_studies?f_ri=6114"},{"id":114183,"name":"Survival Analysis on Health Related Issues","url":"https://www.academia.edu/Documents/in/Survival_Analysis_on_Health_Related_Issues?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36661246" data-work_id="36661246" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36661246/Co_event_models_of_experts_behavior_in_examples_and_problems">Co∼event models of experts' behavior in examples and problems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In my recent works, I propose a new theory of experience and chance, or the theory of certainties, which is a synthesis of two dual theories: Kolmogorov's theory of probabilities and a new theory of believabilities. The theory of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36661246" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In my recent works, I propose a new theory of experience and chance, or the theory of certainties, which is a synthesis of two dual theories: Kolmogorov's theory of probabilities and a new theory of believabilities. The theory of experience and chance is based on axiomatics, adding to the Kolmogorov axiomatics of probability theory an axiom of co~event, a new concept defined as a pair of dual objects, one of which serves as a Kolmogorov event in probability space and the other - as an event in the dualistic believability space. One of my papers gives a theory of dual co~event-based means and examples of its use for processing <br />statistics of ``approving voting'' in elections and in forestry. In this paper, I will go into more detail in examples of processing the statistics <br />of ``approving voting'' in forestry, where a group of forestry experts is actually engaged in ``approving voting'' when they label the trees of the <br />forest, labelling those that according to their opinions must be felling. My goal is to show in these examples that the theory of experience and <br />chance is an effective tool for constructing co~evnts models of experts' behavior in different fields.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36661246" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e731afa43ae3f289d729c03dee5c07d3" rel="nofollow" data-download="{"attachment_id":56601559,"asset_id":36661246,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/56601559/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="38890" href="https://sfu-kras.academia.edu/OlegVorobyev">Oleg Yu Vorobyev</a><script data-card-contents-for-user="38890" type="text/json">{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}</script></span></span></li><li class="js-paper-rank-work_36661246 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36661246"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36661246, container: ".js-paper-rank-work_36661246", }); });</script></li><li class="js-percentile-work_36661246 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 36661246; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_36661246"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_36661246 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="36661246"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 36661246; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=36661246]").text(description); $(".js-view-count-work_36661246").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_36661246").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="36661246"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">153</a>  </div><span class="InlineList-item-text u-textTruncate u-pl11x"><a class="InlineList-item-text" data-has-card-for-ri="307" href="https://www.academia.edu/Documents/in/Mathematical_Statistics">Mathematical Statistics</a>, <script data-card-contents-for-ri="307" type="text/json">{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="344" href="https://www.academia.edu/Documents/in/Probability_Theory">Probability Theory</a>, <script data-card-contents-for-ri="344" type="text/json">{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="444" href="https://www.academia.edu/Documents/in/Quantum_Computing">Quantum Computing</a>, <script data-card-contents-for-ri="444" type="text/json">{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="518" href="https://www.academia.edu/Documents/in/Quantum_Physics">Quantum Physics</a><script data-card-contents-for-ri="518" type="text/json">{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=36661246]'), work: {"id":36661246,"title":"Co∼event models of experts' behavior in examples and problems","created_at":"2018-05-17T22:24:02.535-07:00","url":"https://www.academia.edu/36661246/Co_event_models_of_experts_behavior_in_examples_and_problems?f_ri=6114","dom_id":"work_36661246","summary":"In my recent works, I propose a new theory of experience and chance, or the theory of certainties, which is a synthesis of two dual theories: Kolmogorov's theory of probabilities and a new theory of believabilities. The theory of experience and chance is based on axiomatics, adding to the Kolmogorov axiomatics of probability theory an axiom of co~event, a new concept defined as a pair of dual objects, one of which serves as a Kolmogorov event in probability space and the other - as an event in the dualistic believability space. One of my papers gives a theory of dual co~event-based means and examples of its use for processing\r\nstatistics of ``approving voting'' in elections and in forestry. In this paper, I will go into more detail in examples of processing the statistics\r\nof ``approving voting'' in forestry, where a group of forestry experts is actually engaged in ``approving voting'' when they label the trees of the\r\nforest, labelling those that according to their opinions must be felling. My goal is to show in these examples that the theory of experience and\r\nchance is an effective tool for constructing co~evnts models of experts' behavior in different fields. ","downloadable_attachments":[{"id":56601559,"asset_id":36661246,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38890,"first_name":"Oleg Yu","last_name":"Vorobyev","domain_name":"sfu-kras","page_name":"OlegVorobyev","display_name":"Oleg Yu Vorobyev","profile_url":"https://sfu-kras.academia.edu/OlegVorobyev?f_ri=6114","photo":"https://0.academia-photos.com/38890/12977/347919/s65_oleg.vorobyev.gif"}],"research_interests":[{"id":307,"name":"Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Statistics?f_ri=6114","nofollow":false},{"id":344,"name":"Probability Theory","url":"https://www.academia.edu/Documents/in/Probability_Theory?f_ri=6114","nofollow":false},{"id":444,"name":"Quantum Computing","url":"https://www.academia.edu/Documents/in/Quantum_Computing?f_ri=6114","nofollow":false},{"id":518,"name":"Quantum Physics","url":"https://www.academia.edu/Documents/in/Quantum_Physics?f_ri=6114","nofollow":false},{"id":520,"name":"Statistical Mechanics","url":"https://www.academia.edu/Documents/in/Statistical_Mechanics?f_ri=6114"},{"id":529,"name":"Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Quantum_Chemistry?f_ri=6114"},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114"},{"id":1117,"name":"Voting Behavior","url":"https://www.academia.edu/Documents/in/Voting_Behavior?f_ri=6114"},{"id":1247,"name":"Quantum Gravity","url":"https://www.academia.edu/Documents/in/Quantum_Gravity?f_ri=6114"},{"id":1351,"name":"Statistical Computing","url":"https://www.academia.edu/Documents/in/Statistical_Computing?f_ri=6114"},{"id":1352,"name":"Multivariate Statistics","url":"https://www.academia.edu/Documents/in/Multivariate_Statistics?f_ri=6114"},{"id":1992,"name":"Quantum Optics","url":"https://www.academia.edu/Documents/in/Quantum_Optics?f_ri=6114"},{"id":2445,"name":"Statistical Signal Processing","url":"https://www.academia.edu/Documents/in/Statistical_Signal_Processing?f_ri=6114"},{"id":2560,"name":"Probabilistic Networks","url":"https://www.academia.edu/Documents/in/Probabilistic_Networks?f_ri=6114"},{"id":2606,"name":"Innovation statistics","url":"https://www.academia.edu/Documents/in/Innovation_statistics?f_ri=6114"},{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=6114"},{"id":2713,"name":"Quantum Electrodynamics","url":"https://www.academia.edu/Documents/in/Quantum_Electrodynamics?f_ri=6114"},{"id":2790,"name":"Electronic Voting","url":"https://www.academia.edu/Documents/in/Electronic_Voting?f_ri=6114"},{"id":3206,"name":"Social Statistics","url":"https://www.academia.edu/Documents/in/Social_Statistics?f_ri=6114"},{"id":3243,"name":"Nonparametric Statistics","url":"https://www.academia.edu/Documents/in/Nonparametric_Statistics?f_ri=6114"},{"id":3244,"name":"Bayesian","url":"https://www.academia.edu/Documents/in/Bayesian?f_ri=6114"},{"id":3396,"name":"Foundations of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Foundations_of_Quantum_Mechanics?f_ri=6114"},{"id":4060,"name":"Applied Statistics","url":"https://www.academia.edu/Documents/in/Applied_Statistics?f_ri=6114"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=6114"},{"id":4199,"name":"Quantum Information Processing","url":"https://www.academia.edu/Documents/in/Quantum_Information_Processing?f_ri=6114"},{"id":4384,"name":"Medical Statistics","url":"https://www.academia.edu/Documents/in/Medical_Statistics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":4840,"name":"Statistics Education","url":"https://www.academia.edu/Documents/in/Statistics_Education?f_ri=6114"},{"id":4886,"name":"Meta-Analysis (Statistics)","url":"https://www.academia.edu/Documents/in/Meta-Analysis_Statistics_?f_ri=6114"},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=6114"},{"id":5394,"name":"Fuzzy set theory","url":"https://www.academia.edu/Documents/in/Fuzzy_set_theory?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6144,"name":"Fuzzy Logic Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Control?f_ri=6114"},{"id":6811,"name":"Quantum Theory","url":"https://www.academia.edu/Documents/in/Quantum_Theory?f_ri=6114"},{"id":6813,"name":"Quantum Cosmology","url":"https://www.academia.edu/Documents/in/Quantum_Cosmology?f_ri=6114"},{"id":6879,"name":"Fuzzy rule-based modeling","url":"https://www.academia.edu/Documents/in/Fuzzy_rule-based_modeling?f_ri=6114"},{"id":7936,"name":"Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Quantum_Mechanics?f_ri=6114"},{"id":9739,"name":"Probabilistic Markov Modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_Markov_Modeling?f_ri=6114"},{"id":9740,"name":"Bayesian Evidence Synthesis","url":"https://www.academia.edu/Documents/in/Bayesian_Evidence_Synthesis?f_ri=6114"},{"id":9796,"name":"Philosophy Of Probability","url":"https://www.academia.edu/Documents/in/Philosophy_Of_Probability?f_ri=6114"},{"id":10092,"name":"Quantum Field Theory","url":"https://www.academia.edu/Documents/in/Quantum_Field_Theory?f_ri=6114"},{"id":10182,"name":"Fuzzy Sets","url":"https://www.academia.edu/Documents/in/Fuzzy_Sets?f_ri=6114"},{"id":10513,"name":"Bayesian Network Classifiers","url":"https://www.academia.edu/Documents/in/Bayesian_Network_Classifiers?f_ri=6114"},{"id":10685,"name":"Fuzzy Expert System","url":"https://www.academia.edu/Documents/in/Fuzzy_Expert_System?f_ri=6114"},{"id":11373,"name":"Sports Statistics","url":"https://www.academia.edu/Documents/in/Sports_Statistics?f_ri=6114"},{"id":12853,"name":"Robust Statistics","url":"https://www.academia.edu/Documents/in/Robust_Statistics?f_ri=6114"},{"id":12884,"name":"Brain behavior from statistical analysis of eeg signals","url":"https://www.academia.edu/Documents/in/Brain_behavior_from_statistical_analysis_of_eeg_signals?f_ri=6114"},{"id":14585,"name":"Statistical Modeling","url":"https://www.academia.edu/Documents/in/Statistical_Modeling?f_ri=6114"},{"id":14773,"name":"Bayesian Econometrics","url":"https://www.academia.edu/Documents/in/Bayesian_Econometrics?f_ri=6114"},{"id":15044,"name":"Bootstrap (Statistics)","url":"https://www.academia.edu/Documents/in/Bootstrap_Statistics_?f_ri=6114"},{"id":15084,"name":"Statistical machine learning","url":"https://www.academia.edu/Documents/in/Statistical_machine_learning?f_ri=6114"},{"id":15198,"name":"Spatial Statistics","url":"https://www.academia.edu/Documents/in/Spatial_Statistics?f_ri=6114"},{"id":16103,"name":"Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_Systems?f_ri=6114"},{"id":16460,"name":"Statistical Physics","url":"https://www.academia.edu/Documents/in/Statistical_Physics?f_ri=6114"},{"id":16585,"name":"Quantum Cryptography","url":"https://www.academia.edu/Documents/in/Quantum_Cryptography?f_ri=6114"},{"id":17183,"name":"Mathematical Psychology and Statistics","url":"https://www.academia.edu/Documents/in/Mathematical_Psychology_and_Statistics?f_ri=6114"},{"id":17553,"name":"Statistical Machine Translation","url":"https://www.academia.edu/Documents/in/Statistical_Machine_Translation?f_ri=6114"},{"id":18420,"name":"Philosophy of Quantum Mechanics","url":"https://www.academia.edu/Documents/in/Philosophy_of_Quantum_Mechanics?f_ri=6114"},{"id":18422,"name":"Bayesianism","url":"https://www.academia.edu/Documents/in/Bayesianism?f_ri=6114"},{"id":20324,"name":"Voting Theory","url":"https://www.academia.edu/Documents/in/Voting_Theory?f_ri=6114"},{"id":21565,"name":"Statistical Physics Of Complex Systems","url":"https://www.academia.edu/Documents/in/Statistical_Physics_Of_Complex_Systems?f_ri=6114"},{"id":22613,"name":"Probability and statistics","url":"https://www.academia.edu/Documents/in/Probability_and_statistics?f_ri=6114"},{"id":26691,"name":"Statistical Process Control","url":"https://www.academia.edu/Documents/in/Statistical_Process_Control?f_ri=6114"},{"id":26957,"name":"Statistical Modelling","url":"https://www.academia.edu/Documents/in/Statistical_Modelling?f_ri=6114"},{"id":26959,"name":"Bayesian Models","url":"https://www.academia.edu/Documents/in/Bayesian_Models?f_ri=6114"},{"id":27371,"name":"Statistical Thermodynamics","url":"https://www.academia.edu/Documents/in/Statistical_Thermodynamics?f_ri=6114"},{"id":27550,"name":"History of Statistics and Statistical Agencies","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Statistical_Agencies?f_ri=6114"},{"id":27770,"name":"Statistics education (Education)","url":"https://www.academia.edu/Documents/in/Statistics_education_Education_?f_ri=6114"},{"id":27926,"name":"Statistical Methods in Archaeology","url":"https://www.academia.edu/Documents/in/Statistical_Methods_in_Archaeology?f_ri=6114"},{"id":28422,"name":"Quantum Computation","url":"https://www.academia.edu/Documents/in/Quantum_Computation?f_ri=6114"},{"id":28512,"name":"Bayesian Networks","url":"https://www.academia.edu/Documents/in/Bayesian_Networks?f_ri=6114"},{"id":28545,"name":"Loop Quantum Gravity","url":"https://www.academia.edu/Documents/in/Loop_Quantum_Gravity?f_ri=6114"},{"id":30006,"name":"Voting","url":"https://www.academia.edu/Documents/in/Voting?f_ri=6114"},{"id":30936,"name":"Elections and Voting Behavior","url":"https://www.academia.edu/Documents/in/Elections_and_Voting_Behavior?f_ri=6114"},{"id":31401,"name":"R (Statistics)","url":"https://www.academia.edu/Documents/in/R_Statistics_?f_ri=6114"},{"id":31412,"name":"Probability and Mathematical Statistics","url":"https://www.academia.edu/Documents/in/Probability_and_Mathematical_Statistics?f_ri=6114"},{"id":31812,"name":"Fuzzy Control","url":"https://www.academia.edu/Documents/in/Fuzzy_Control?f_ri=6114"},{"id":31826,"name":"Sampling (Mathematical Statistics)","url":"https://www.academia.edu/Documents/in/Sampling_Mathematical_Statistics_?f_ri=6114"},{"id":31900,"name":"Fuzzy","url":"https://www.academia.edu/Documents/in/Fuzzy?f_ri=6114"},{"id":33069,"name":"Probability","url":"https://www.academia.edu/Documents/in/Probability?f_ri=6114"},{"id":33479,"name":"Statistical Hydrology","url":"https://www.academia.edu/Documents/in/Statistical_Hydrology?f_ri=6114"},{"id":34109,"name":"Bayesian estimation","url":"https://www.academia.edu/Documents/in/Bayesian_estimation?f_ri=6114"},{"id":35966,"name":"Statistical Design of Experiment (DoE)","url":"https://www.academia.edu/Documents/in/Statistical_Design_of_Experiment_DoE_?f_ri=6114"},{"id":37305,"name":"Statistical Quality Control","url":"https://www.academia.edu/Documents/in/Statistical_Quality_Control?f_ri=6114"},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=6114"},{"id":38701,"name":"Bayesian Analysis","url":"https://www.academia.edu/Documents/in/Bayesian_Analysis?f_ri=6114"},{"id":39699,"name":"Probabilistic Graphical Models","url":"https://www.academia.edu/Documents/in/Probabilistic_Graphical_Models?f_ri=6114"},{"id":40174,"name":"Business statistics","url":"https://www.academia.edu/Documents/in/Business_statistics?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":41815,"name":"Applied Probability","url":"https://www.academia.edu/Documents/in/Applied_Probability?f_ri=6114"},{"id":43591,"name":"Quantum entanglement","url":"https://www.academia.edu/Documents/in/Quantum_entanglement?f_ri=6114"},{"id":48317,"name":"Quantum Dots","url":"https://www.academia.edu/Documents/in/Quantum_Dots?f_ri=6114"},{"id":48641,"name":"Applied Bayesian Statistics","url":"https://www.academia.edu/Documents/in/Applied_Bayesian_Statistics?f_ri=6114"},{"id":51105,"name":"Official Statistics","url":"https://www.academia.edu/Documents/in/Official_Statistics?f_ri=6114"},{"id":51529,"name":"Bayesian Inference","url":"https://www.academia.edu/Documents/in/Bayesian_Inference?f_ri=6114"},{"id":53553,"name":"Fuzzy and Neuro-Fuzzy Systems","url":"https://www.academia.edu/Documents/in/Fuzzy_and_Neuro-Fuzzy_Systems?f_ri=6114"},{"id":53779,"name":"statistics with SPSS and Excel","url":"https://www.academia.edu/Documents/in/statistics_with_SPSS_and_Excel?f_ri=6114"},{"id":55333,"name":"Teaching and Learning of Statistics","url":"https://www.academia.edu/Documents/in/Teaching_and_Learning_of_Statistics?f_ri=6114"},{"id":59959,"name":"Research methods and Statistics","url":"https://www.academia.edu/Documents/in/Research_methods_and_Statistics?f_ri=6114"},{"id":62225,"name":"Fuzzy Logic Programming","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Programming?f_ri=6114"},{"id":64346,"name":"History of statistics","url":"https://www.academia.edu/Documents/in/History_of_statistics?f_ri=6114"},{"id":67968,"name":"Statistical Inference","url":"https://www.academia.edu/Documents/in/Statistical_Inference?f_ri=6114"},{"id":73837,"name":"Fuzzy Cognitive Maps","url":"https://www.academia.edu/Documents/in/Fuzzy_Cognitive_Maps?f_ri=6114"},{"id":74740,"name":"Fuzzy Topology","url":"https://www.academia.edu/Documents/in/Fuzzy_Topology?f_ri=6114"},{"id":83635,"name":"OPerations research and statistics","url":"https://www.academia.edu/Documents/in/OPerations_research_and_statistics?f_ri=6114"},{"id":85362,"name":"Descriptive Statistics","url":"https://www.academia.edu/Documents/in/Descriptive_Statistics?f_ri=6114"},{"id":88587,"name":"Quantum Biology","url":"https://www.academia.edu/Documents/in/Quantum_Biology?f_ri=6114"},{"id":94117,"name":"Basic Statistics","url":"https://www.academia.edu/Documents/in/Basic_Statistics?f_ri=6114"},{"id":98937,"name":"Statistic","url":"https://www.academia.edu/Documents/in/Statistic?f_ri=6114"},{"id":100094,"name":"Bayesian statistics","url":"https://www.academia.edu/Documents/in/Bayesian_statistics?f_ri=6114"},{"id":104834,"name":"Statistical Techniques in Spatial Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Techniques_in_Spatial_Analysis?f_ri=6114"},{"id":105930,"name":"Statistical Downscaling","url":"https://www.academia.edu/Documents/in/Statistical_Downscaling?f_ri=6114"},{"id":109147,"name":"Bayesian methods","url":"https://www.academia.edu/Documents/in/Bayesian_methods?f_ri=6114"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance?f_ri=6114"},{"id":129810,"name":"Experimental Research Design and Statistical Data Analysis","url":"https://www.academia.edu/Documents/in/Experimental_Research_Design_and_Statistical_Data_Analysis?f_ri=6114"},{"id":131732,"name":"Voting Systems","url":"https://www.academia.edu/Documents/in/Voting_Systems?f_ri=6114"},{"id":148631,"name":"Computational Quantum Chemistry","url":"https://www.academia.edu/Documents/in/Computational_Quantum_Chemistry?f_ri=6114"},{"id":152694,"name":"Statistical Methods","url":"https://www.academia.edu/Documents/in/Statistical_Methods?f_ri=6114"},{"id":188474,"name":"Applied Statistics and Statistical Modelling","url":"https://www.academia.edu/Documents/in/Applied_Statistics_and_Statistical_Modelling?f_ri=6114"},{"id":198462,"name":"Statistical software","url":"https://www.academia.edu/Documents/in/Statistical_software?f_ri=6114"},{"id":230995,"name":"Crime Statistics","url":"https://www.academia.edu/Documents/in/Crime_Statistics?f_ri=6114"},{"id":241338,"name":"Fuzzy Logic and Its Application","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_and_Its_Application?f_ri=6114"},{"id":265402,"name":"Applied Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Statistics?f_ri=6114"},{"id":273724,"name":"Statistics and Mathematics","url":"https://www.academia.edu/Documents/in/Statistics_and_Mathematics?f_ri=6114"},{"id":274599,"name":"Bayesian Network","url":"https://www.academia.edu/Documents/in/Bayesian_Network?f_ri=6114"},{"id":315908,"name":"Probability distributions to model air pollutant data","url":"https://www.academia.edu/Documents/in/Probability_distributions_to_model_air_pollutant_data?f_ri=6114"},{"id":328408,"name":"Agrofood Economics and Statistics","url":"https://www.academia.edu/Documents/in/Agrofood_Economics_and_Statistics?f_ri=6114"},{"id":339532,"name":"Bayesian hierarchical model","url":"https://www.academia.edu/Documents/in/Bayesian_hierarchical_model?f_ri=6114"},{"id":343413,"name":"Applied Probability and Statistics","url":"https://www.academia.edu/Documents/in/Applied_Probability_and_Statistics?f_ri=6114"},{"id":345767,"name":"Naive Bayes","url":"https://www.academia.edu/Documents/in/Naive_Bayes?f_ri=6114"},{"id":388873,"name":"Mathematics and Statistics","url":"https://www.academia.edu/Documents/in/Mathematics_and_Statistics?f_ri=6114"},{"id":420825,"name":"Manual -en español- IBM SPSS Statistics Base 20","url":"https://www.academia.edu/Documents/in/Manual_-en_espanol-_IBM_SPSS_Statistics_Base_20?f_ri=6114"},{"id":463912,"name":"Probabilidade e Estatística","url":"https://www.academia.edu/Documents/in/Probabilidade_e_Estatistica?f_ri=6114"},{"id":467682,"name":"Fuzzy Logic Controller","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic_Controller?f_ri=6114"},{"id":516330,"name":"Psychological Statistics","url":"https://www.academia.edu/Documents/in/Psychological_Statistics?f_ri=6114"},{"id":571797,"name":"Introduction to Probability","url":"https://www.academia.edu/Documents/in/Introduction_to_Probability?f_ri=6114"},{"id":579838,"name":"Experimental Statistics: Statistical Analysis of Experiments","url":"https://www.academia.edu/Documents/in/Experimental_Statistics_Statistical_Analysis_of_Experiments?f_ri=6114"},{"id":582439,"name":"History of Statistics and Probability","url":"https://www.academia.edu/Documents/in/History_of_Statistics_and_Probability?f_ri=6114"},{"id":617848,"name":"Intuitionistic fuzzy sets","url":"https://www.academia.edu/Documents/in/Intuitionistic_fuzzy_sets?f_ri=6114"},{"id":618122,"name":"Quantum physics and the Law of Attraction","url":"https://www.academia.edu/Documents/in/Quantum_physics_and_the_Law_of_Attraction?f_ri=6114"},{"id":634576,"name":"Bayesian Nonparametrics","url":"https://www.academia.edu/Documents/in/Bayesian_Nonparametrics?f_ri=6114"},{"id":653891,"name":"Probabilistic risk modeling","url":"https://www.academia.edu/Documents/in/Probabilistic_risk_modeling?f_ri=6114"},{"id":659228,"name":"Quantum Computing and Information","url":"https://www.academia.edu/Documents/in/Quantum_Computing_and_Information?f_ri=6114"},{"id":674235,"name":"Combinatorics \u0026 Statistics","url":"https://www.academia.edu/Documents/in/Combinatorics_and_Statistics?f_ri=6114"},{"id":807335,"name":"Fuzzy Inference System","url":"https://www.academia.edu/Documents/in/Fuzzy_Inference_System?f_ri=6114"},{"id":853315,"name":"Calculo De Probabilidades","url":"https://www.academia.edu/Documents/in/Calculo_De_Probabilidades?f_ri=6114"},{"id":872399,"name":"Probability Density Function","url":"https://www.academia.edu/Documents/in/Probability_Density_Function?f_ri=6114"},{"id":976616,"name":"Statistical Computing In R","url":"https://www.academia.edu/Documents/in/Statistical_Computing_In_R?f_ri=6114"},{"id":991025,"name":"Economics and Statistics","url":"https://www.academia.edu/Documents/in/Economics_and_Statistics-1?f_ri=6114"},{"id":1003616,"name":"Bayesian Methods (MCMC)","url":"https://www.academia.edu/Documents/in/Bayesian_Methods_MCMC_?f_ri=6114"},{"id":1115400,"name":"Quantum Teaching Strategy on teaching English as Foreign Language","url":"https://www.academia.edu/Documents/in/Quantum_Teaching_Strategy_on_teaching_English_as_Foreign_Language?f_ri=6114"},{"id":1317759,"name":"Metode Naive Bayes","url":"https://www.academia.edu/Documents/in/Metode_Naive_Bayes?f_ri=6114"},{"id":1733909,"name":"Of Statistics","url":"https://www.academia.edu/Documents/in/Of_Statistics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_32556841" data-work_id="32556841" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/32556841/RACIOPPI_Giacomo">RACIOPPI, Giacomo</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Biografia di Giacomo Racioppi (Moliterno, 1827-Roma, 1908), storico e politico lucano, attivo in Basilicata, a Napoli e a Roma.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32556841" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fbe8a5bfc26eb4ac0cda0fa48c14b674" rel="nofollow" data-download="{"attachment_id":52736850,"asset_id":32556841,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/52736850/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3302287" href="https://unical.academia.edu/VittorioCappelli">Vittorio Cappelli</a><script data-card-contents-for-user="3302287" type="text/json">{"id":3302287,"first_name":"Vittorio","last_name":"Cappelli","domain_name":"unical","page_name":"VittorioCappelli","display_name":"Vittorio Cappelli","profile_url":"https://unical.academia.edu/VittorioCappelli?f_ri=6114","photo":"https://0.academia-photos.com/3302287/1099382/12806053/s65_vittorio.cappelli.jpg"}</script></span></span></li><li class="js-paper-rank-work_32556841 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="32556841"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 32556841, container: ".js-paper-rank-work_32556841", }); });</script></li><li class="js-percentile-work_32556841 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32556841; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_32556841"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_32556841 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="32556841"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32556841; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32556841]").text(description); $(".js-view-count-work_32556841").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_32556841").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="32556841"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="117164" href="https://www.academia.edu/Documents/in/Giuseppe_Garibaldi">Giuseppe Garibaldi</a>, <script data-card-contents-for-ri="117164" type="text/json">{"id":117164,"name":"Giuseppe Garibaldi","url":"https://www.academia.edu/Documents/in/Giuseppe_Garibaldi?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="505082" href="https://www.academia.edu/Documents/in/Unita_dItalia">Unità d'Italia</a>, <script data-card-contents-for-ri="505082" type="text/json">{"id":505082,"name":"Unità d'Italia","url":"https://www.academia.edu/Documents/in/Unita_dItalia?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="755924" href="https://www.academia.edu/Documents/in/Antonio_Genovesi">Antonio Genovesi</a><script data-card-contents-for-ri="755924" type="text/json">{"id":755924,"name":"Antonio Genovesi","url":"https://www.academia.edu/Documents/in/Antonio_Genovesi?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=32556841]'), work: {"id":32556841,"title":"RACIOPPI, Giacomo","created_at":"2017-04-21T02:45:24.900-07:00","url":"https://www.academia.edu/32556841/RACIOPPI_Giacomo?f_ri=6114","dom_id":"work_32556841","summary":"Biografia di Giacomo Racioppi (Moliterno, 1827-Roma, 1908), storico e politico lucano, attivo in Basilicata, a Napoli e a Roma.","downloadable_attachments":[{"id":52736850,"asset_id":32556841,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3302287,"first_name":"Vittorio","last_name":"Cappelli","domain_name":"unical","page_name":"VittorioCappelli","display_name":"Vittorio Cappelli","profile_url":"https://unical.academia.edu/VittorioCappelli?f_ri=6114","photo":"https://0.academia-photos.com/3302287/1099382/12806053/s65_vittorio.cappelli.jpg"}],"research_interests":[{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":117164,"name":"Giuseppe Garibaldi","url":"https://www.academia.edu/Documents/in/Giuseppe_Garibaldi?f_ri=6114","nofollow":false},{"id":505082,"name":"Unità d'Italia","url":"https://www.academia.edu/Documents/in/Unita_dItalia?f_ri=6114","nofollow":false},{"id":755924,"name":"Antonio Genovesi","url":"https://www.academia.edu/Documents/in/Antonio_Genovesi?f_ri=6114","nofollow":false},{"id":808183,"name":"Storia Del Risorgimento","url":"https://www.academia.edu/Documents/in/Storia_Del_Risorgimento?f_ri=6114"},{"id":1129142,"name":"Carlo Pisacane","url":"https://www.academia.edu/Documents/in/Carlo_Pisacane?f_ri=6114"},{"id":1222243,"name":"Brigantaggio","url":"https://www.academia.edu/Documents/in/Brigantaggio?f_ri=6114"},{"id":1847436,"name":"Storia della Basilicata","url":"https://www.academia.edu/Documents/in/Storia_della_Basilicata?f_ri=6114"},{"id":2685142,"name":"Senatori del Regno","url":"https://www.academia.edu/Documents/in/Senatori_del_Regno?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14176310" data-work_id="14176310" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14176310/Project_Among_African_Americans_to_Explore_Risks_for_Schizophrenia_PAARTNERS_Evidence_for_Impairment_and_Heritability_of_Neurocognitive_Functioning_in_Families_of_Schizophrenia_Patients">Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS): Evidence for Impairment and Heritability of Neurocognitive Functioning in Families of Schizophrenia Patients</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14176310" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d63cedc063f83a4513e254e8754c481e" rel="nofollow" data-download="{"attachment_id":44534839,"asset_id":14176310,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/44534839/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33160921" href="https://vanderbilt.academia.edu/MuktarAliyu">Muktar Aliyu</a><script data-card-contents-for-user="33160921" type="text/json">{"id":33160921,"first_name":"Muktar","last_name":"Aliyu","domain_name":"vanderbilt","page_name":"MuktarAliyu","display_name":"Muktar Aliyu","profile_url":"https://vanderbilt.academia.edu/MuktarAliyu?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14176310 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14176310"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14176310, container: ".js-paper-rank-work_14176310", }); });</script></li><li class="js-percentile-work_14176310 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14176310; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14176310"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14176310 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14176310"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14176310; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14176310]").text(description); $(".js-view-count-work_14176310").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14176310").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14176310"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">33</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="310" href="https://www.academia.edu/Documents/in/Demography">Demography</a>, <script data-card-contents-for-ri="310" type="text/json">{"id":310,"name":"Demography","url":"https://www.academia.edu/Documents/in/Demography?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a><script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14176310]'), work: {"id":14176310,"title":"Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS): Evidence for Impairment and Heritability of Neurocognitive Functioning in Families of Schizophrenia Patients","created_at":"2015-07-18T11:05:58.781-07:00","url":"https://www.academia.edu/14176310/Project_Among_African_Americans_to_Explore_Risks_for_Schizophrenia_PAARTNERS_Evidence_for_Impairment_and_Heritability_of_Neurocognitive_Functioning_in_Families_of_Schizophrenia_Patients?f_ri=6114","dom_id":"work_14176310","summary":null,"downloadable_attachments":[{"id":44534839,"asset_id":14176310,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33160921,"first_name":"Muktar","last_name":"Aliyu","domain_name":"vanderbilt","page_name":"MuktarAliyu","display_name":"Muktar Aliyu","profile_url":"https://vanderbilt.academia.edu/MuktarAliyu?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":310,"name":"Demography","url":"https://www.academia.edu/Documents/in/Demography?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114"},{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia?f_ri=6114"},{"id":3230,"name":"Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Bipolar_Disorder?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":6478,"name":"Nutritional Epidemiology","url":"https://www.academia.edu/Documents/in/Nutritional_Epidemiology?f_ri=6114"},{"id":10589,"name":"Cognitive Endophenotypes In Psychosis And Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Cognitive_Endophenotypes_In_Psychosis_And_Bipolar_Disorder?f_ri=6114"},{"id":37849,"name":"Gene-environment interactions","url":"https://www.academia.edu/Documents/in/Gene-environment_interactions?f_ri=6114"},{"id":52409,"name":"Cancer Genetics","url":"https://www.academia.edu/Documents/in/Cancer_Genetics?f_ri=6114"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=6114"},{"id":68342,"name":"African American","url":"https://www.academia.edu/Documents/in/African_American?f_ri=6114"},{"id":77794,"name":"Major Depressive Disorder","url":"https://www.academia.edu/Documents/in/Major_Depressive_Disorder?f_ri=6114"},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time?f_ri=6114"},{"id":151448,"name":"American","url":"https://www.academia.edu/Documents/in/American?f_ri=6114"},{"id":153168,"name":"Data Collection","url":"https://www.academia.edu/Documents/in/Data_Collection?f_ri=6114"},{"id":189816,"name":"Molecular and Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Molecular_and_Genetic_Epidemiology?f_ri=6114"},{"id":192721,"name":"Risk factors","url":"https://www.academia.edu/Documents/in/Risk_factors?f_ri=6114"},{"id":224794,"name":"Genetic linkage analysis","url":"https://www.academia.edu/Documents/in/Genetic_linkage_analysis?f_ri=6114"},{"id":233800,"name":"African Americans","url":"https://www.academia.edu/Documents/in/African_Americans?f_ri=6114"},{"id":289330,"name":"Prevalence","url":"https://www.academia.edu/Documents/in/Prevalence?f_ri=6114"},{"id":428130,"name":"Cognitive Ability","url":"https://www.academia.edu/Documents/in/Cognitive_Ability?f_ri=6114"},{"id":516151,"name":"Genetic Polymorphism","url":"https://www.academia.edu/Documents/in/Genetic_Polymorphism?f_ri=6114"},{"id":538554,"name":"Study design","url":"https://www.academia.edu/Documents/in/Study_design?f_ri=6114"},{"id":612870,"name":"Psychotic Disorders","url":"https://www.academia.edu/Documents/in/Psychotic_Disorders?f_ri=6114"},{"id":620049,"name":"Risk Factors","url":"https://www.academia.edu/Documents/in/Risk_Factors-1?f_ri=6114"},{"id":874382,"name":"Medical Records","url":"https://www.academia.edu/Documents/in/Medical_Records?f_ri=6114"},{"id":981702,"name":"Genomics and Epigenetics","url":"https://www.academia.edu/Documents/in/Genomics_and_Epigenetics?f_ri=6114"},{"id":1211717,"name":"Assessment Methods","url":"https://www.academia.edu/Documents/in/Assessment_Methods?f_ri=6114"},{"id":1423077,"name":"Substance-Related Disorders","url":"https://www.academia.edu/Documents/in/Substance-Related_Disorders?f_ri=6114"},{"id":1627527,"name":"Cognition disorders","url":"https://www.academia.edu/Documents/in/Cognition_disorders?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22167747" data-work_id="22167747" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22167747/%D0%A1%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%B8%D1%89%D0%B5_%D0%BD%D0%B0_%D0%98%D0%BD%D1%81%D1%82%D0%B8%D1%82%D1%83%D1%82%D0%B0_%D0%B7%D0%B0_%D0%94%D1%80%D0%B5%D0%B2%D0%BD%D0%B8_%D0%A6%D0%B8%D0%B2%D0%B8%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D0%B8_%D0%B7%D0%B0_%D0%BF%D1%80%D0%BE%D0%BC%D1%8F%D0%BD%D0%B0_%D0%BD%D0%B0_%D0%BA%D0%BE%D0%BD%D1%86%D0%B5%D0%BF%D1%86%D0%B8%D1%8F%D1%82%D0%B0_%D0%B7%D0%B0_%D0%BF%D1%80%D0%BE%D0%B8%D0%B7%D1%85%D0%BE%D0%B4%D0%B0_%D0%BD%D0%B0_%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D0%B8%D1%82%D0%B5_%D0%BF%D1%80%D0%B0%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D0%B8%D1%82%D0%B5_%D0%B8_%D0%B4%D1%80%D0%B5%D0%B2%D0%BD%D0%BE%D1%81%D1%82%D1%82%D0%B0_%D0%BD%D0%B0_%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D1%81%D0%BA%D0%B0%D1%82%D0%B0_%D0%B4%D1%8A%D1%80%D0%B6%D0%B0%D0%B2%D0%B0_%D0%B2_%D1%83%D1%87%D0%B5%D0%B1%D0%BD%D0%B8%D1%86%D0%B8%D1%82%D0%B5_%D0%BF%D0%BE_%D0%B8%D1%81%D1%82%D0%BE%D1%80%D0%B8%D1%8F">Становище на Института за Древни Цивилизации за промяна на концепцията за произхода на българите, прабългарите и древността на българската държава в учебниците по история.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">На 19.02.2016 г. Институтът по Древни цивилизации внесе в Министерството на Науката и Образованието (МОН) становище за промяна на концепцията за произхода на българите, прабългарите и древността на българската държава в учебниците по... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_22167747" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">На 19.02.2016 г. Институтът по Древни цивилизации внесе в Министерството на Науката и Образованието (МОН) становище за промяна на концепцията за произхода на българите, прабългарите и древността на българската държава в учебниците по история, Вх.№ 09-62/19.02.2016 г. То подкрепя становището на Института по история на БАН по въпроса и предлага следните промени в съдържанието на учебниците за училищата:<br />1) Терминът “прабългари” да се замени с “древни българи”.<br />2) Произходът на древните българи е индоевропейски.<br />3) Титлата на българските владетели е „кан”.<br />4) Да се изучава Волжска България.<br />5) Да се разшири познанието за иранския древен свят.<br />6) Началото на българската държавност да бъде положено в 165 г.<br />7) Да се отмени периодизацията на първа, втора и трета българска държава, която не е уместна.<br />8.) В съвременния български език са запазени и се използват няколко хиляди думи от прабългарски произход, които се срещат също в индо - иранските езици. Повечето от тях погрешно са били обявени за турцизми.<br />9.) Древните българи са имали един от най-точните и най-древните календари. През 70-те години на XX-ти век той е бил предложен от ЮНЕСКО за световен календар, защото е изключително удобен за използване.<br /><br />Относно дебата за замяната на термина “турско робство” Институтът по Древни цивилизации смята, че е от особено значение правилно да се употребява терминологията, използвана от авторите, които са били свидетели на тази епоха. Има неизброимо количество исторически писмени източници използващи масово термините “робство” и “иго”. Затова не е редно сега въпросният термин да бъде заменен в учебниците с други термини, независимо от каквито и да е съображения.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22167747" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1dd5313f249881d7b596a5ea8c9f0d71" rel="nofollow" data-download="{"attachment_id":42899335,"asset_id":22167747,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/42899335/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="108450" href="https://uni-sofia.academia.edu/YavorShopov">Yavor Shopov</a><script data-card-contents-for-user="108450" type="text/json">{"id":108450,"first_name":"Yavor","last_name":"Shopov","domain_name":"uni-sofia","page_name":"YavorShopov","display_name":"Yavor Shopov","profile_url":"https://uni-sofia.academia.edu/YavorShopov?f_ri=6114","photo":"https://0.academia-photos.com/108450/29688/10986304/s65_yavor.shopov.jpg"}</script></span></span></li><li class="js-paper-rank-work_22167747 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22167747"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22167747, container: ".js-paper-rank-work_22167747", }); });</script></li><li class="js-percentile-work_22167747 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22167747; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_22167747"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_22167747 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="22167747"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22167747; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22167747]").text(description); $(".js-view-count-work_22167747").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_22167747").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="22167747"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">28</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="128" href="https://www.academia.edu/Documents/in/History">History</a>, <script data-card-contents-for-ri="128" type="text/json">{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="130" href="https://www.academia.edu/Documents/in/Ancient_History">Ancient History</a>, <script data-card-contents-for-ri="130" type="text/json">{"id":130,"name":"Ancient History","url":"https://www.academia.edu/Documents/in/Ancient_History?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="136" href="https://www.academia.edu/Documents/in/Cultural_History">Cultural History</a>, <script data-card-contents-for-ri="136" type="text/json">{"id":136,"name":"Cultural History","url":"https://www.academia.edu/Documents/in/Cultural_History?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a><script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=22167747]'), work: {"id":22167747,"title":"Становище на Института за Древни Цивилизации за промяна на концепцията за произхода на българите, прабългарите и древността на българската държава в учебниците по история.","created_at":"2016-02-19T01:35:39.450-08:00","url":"https://www.academia.edu/22167747/%D0%A1%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%B8%D1%89%D0%B5_%D0%BD%D0%B0_%D0%98%D0%BD%D1%81%D1%82%D0%B8%D1%82%D1%83%D1%82%D0%B0_%D0%B7%D0%B0_%D0%94%D1%80%D0%B5%D0%B2%D0%BD%D0%B8_%D0%A6%D0%B8%D0%B2%D0%B8%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D0%B8_%D0%B7%D0%B0_%D0%BF%D1%80%D0%BE%D0%BC%D1%8F%D0%BD%D0%B0_%D0%BD%D0%B0_%D0%BA%D0%BE%D0%BD%D1%86%D0%B5%D0%BF%D1%86%D0%B8%D1%8F%D1%82%D0%B0_%D0%B7%D0%B0_%D0%BF%D1%80%D0%BE%D0%B8%D0%B7%D1%85%D0%BE%D0%B4%D0%B0_%D0%BD%D0%B0_%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D0%B8%D1%82%D0%B5_%D0%BF%D1%80%D0%B0%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D0%B8%D1%82%D0%B5_%D0%B8_%D0%B4%D1%80%D0%B5%D0%B2%D0%BD%D0%BE%D1%81%D1%82%D1%82%D0%B0_%D0%BD%D0%B0_%D0%B1%D1%8A%D0%BB%D0%B3%D0%B0%D1%80%D1%81%D0%BA%D0%B0%D1%82%D0%B0_%D0%B4%D1%8A%D1%80%D0%B6%D0%B0%D0%B2%D0%B0_%D0%B2_%D1%83%D1%87%D0%B5%D0%B1%D0%BD%D0%B8%D1%86%D0%B8%D1%82%D0%B5_%D0%BF%D0%BE_%D0%B8%D1%81%D1%82%D0%BE%D1%80%D0%B8%D1%8F?f_ri=6114","dom_id":"work_22167747","summary":"На 19.02.2016 г. Институтът по Древни цивилизации внесе в Министерството на Науката и Образованието (МОН) становище за промяна на концепцията за произхода на българите, прабългарите и древността на българската държава в учебниците по история, Вх.№ 09-62/19.02.2016 г. То подкрепя становището на Института по история на БАН по въпроса и предлага следните промени в съдържанието на учебниците за училищата:\n1)\tТерминът “прабългари” да се замени с “древни българи”.\n2)\tПроизходът на древните българи е индоевропейски.\n3)\tТитлата на българските владетели е „кан”.\n4)\tДа се изучава Волжска България.\n5)\tДа се разшири познанието за иранския древен свят.\n6)\tНачалото на българската държавност да бъде положено в 165 г.\n7)\tДа се отмени периодизацията на първа, втора и трета българска държава, която не е уместна.\n8.) В съвременния български език са запазени и се използват няколко хиляди думи от прабългарски произход, които се срещат също в индо - иранските езици. Повечето от тях погрешно са били обявени за турцизми.\n9.) Древните българи са имали един от най-точните и най-древните календари. През 70-те години на XX-ти век той е бил предложен от ЮНЕСКО за световен календар, защото е изключително удобен за използване.\n\nОтносно дебата за замяната на термина “турско робство” Институтът по Древни цивилизации смята, че е от особено значение правилно да се употребява терминологията, използвана от авторите, които са били свидетели на тази епоха. Има неизброимо количество исторически писмени източници използващи масово термините “робство” и “иго”. Затова не е редно сега въпросният термин да бъде заменен в учебниците с други термини, независимо от каквито и да е съображения.","downloadable_attachments":[{"id":42899335,"asset_id":22167747,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":108450,"first_name":"Yavor","last_name":"Shopov","domain_name":"uni-sofia","page_name":"YavorShopov","display_name":"Yavor Shopov","profile_url":"https://uni-sofia.academia.edu/YavorShopov?f_ri=6114","photo":"https://0.academia-photos.com/108450/29688/10986304/s65_yavor.shopov.jpg"}],"research_interests":[{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=6114","nofollow":false},{"id":130,"name":"Ancient History","url":"https://www.academia.edu/Documents/in/Ancient_History?f_ri=6114","nofollow":false},{"id":136,"name":"Cultural History","url":"https://www.academia.edu/Documents/in/Cultural_History?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography?f_ri=6114"},{"id":262,"name":"Human Geography","url":"https://www.academia.edu/Documents/in/Human_Geography?f_ri=6114"},{"id":263,"name":"Cultural Geography","url":"https://www.academia.edu/Documents/in/Cultural_Geography?f_ri=6114"},{"id":266,"name":"Historical Geography","url":"https://www.academia.edu/Documents/in/Historical_Geography?f_ri=6114"},{"id":268,"name":"Political Geography and Geopolitics","url":"https://www.academia.edu/Documents/in/Political_Geography_and_Geopolitics?f_ri=6114"},{"id":272,"name":"Social Geography","url":"https://www.academia.edu/Documents/in/Social_Geography?f_ri=6114"},{"id":277,"name":"Urban Geography","url":"https://www.academia.edu/Documents/in/Urban_Geography?f_ri=6114"},{"id":792,"name":"Historical Anthropology","url":"https://www.academia.edu/Documents/in/Historical_Anthropology?f_ri=6114"},{"id":922,"name":"Education","url":"https://www.academia.edu/Documents/in/Education?f_ri=6114"},{"id":958,"name":"Historical Archaeology","url":"https://www.academia.edu/Documents/in/Historical_Archaeology?f_ri=6114"},{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology?f_ri=6114"},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114"},{"id":1446,"name":"Medieval History","url":"https://www.academia.edu/Documents/in/Medieval_History?f_ri=6114"},{"id":1601,"name":"Teacher Education","url":"https://www.academia.edu/Documents/in/Teacher_Education?f_ri=6114"},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":3429,"name":"Educational Research","url":"https://www.academia.edu/Documents/in/Educational_Research?f_ri=6114"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":9822,"name":"Education Policy","url":"https://www.academia.edu/Documents/in/Education_Policy?f_ri=6114"},{"id":10024,"name":"Population genetics (Biology)","url":"https://www.academia.edu/Documents/in/Population_genetics_Biology_?f_ri=6114"},{"id":15588,"name":"Social History","url":"https://www.academia.edu/Documents/in/Social_History?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":19030,"name":"Political Geography","url":"https://www.academia.edu/Documents/in/Political_Geography?f_ri=6114"},{"id":37723,"name":"Geography Education","url":"https://www.academia.edu/Documents/in/Geography_Education?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_21529270 coauthored" data-work_id="21529270" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/21529270/Longitudinal_analytical_approaches_to_genetic_data">Longitudinal analytical approaches to genetic data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Longitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_21529270" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Longitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches from the Genetic Analysis Workshop 19 (GAW19). These contributions investigated both genome-wide association (GWA) and whole genome sequence (WGS) data from odd numbered chromosomes on up to 4 time points for blood pressure–related phenotypes. The statistical models used included generalized estimating equations (GEEs), latent class growth modeling (LCGM), linear mixed-effect (LME), and variance components (VC). The goal of these analyses was to test statistical approaches that use repeat measurements to increase genetic signal for variant identification.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/21529270" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="78aa06cc080069bfebde7c6cbf63ee74" rel="nofollow" data-download="{"attachment_id":41997848,"asset_id":21529270,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41997848/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-21529270">+1</span><div class="hidden js-additional-users-21529270"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://geisinger.academia.edu/AnneJustice">Anne Justice</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-21529270'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-21529270').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_21529270 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="21529270"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 21529270, container: ".js-paper-rank-work_21529270", }); });</script></li><li class="js-percentile-work_21529270 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 21529270; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_21529270"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_21529270 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="21529270"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 21529270; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=21529270]").text(description); $(".js-view-count-work_21529270").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_21529270").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="21529270"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13886" href="https://www.academia.edu/Documents/in/Longitudinal_Research">Longitudinal Research</a>, <script data-card-contents-for-ri="13886" type="text/json">{"id":13886,"name":"Longitudinal Research","url":"https://www.academia.edu/Documents/in/Longitudinal_Research?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23471" href="https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_">Genome Wide Association Studies (GWAS)</a><script data-card-contents-for-ri="23471" type="text/json">{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=21529270]'), work: {"id":21529270,"title":"Longitudinal analytical approaches to genetic data","created_at":"2016-02-03T17:21:42.057-08:00","url":"https://www.academia.edu/21529270/Longitudinal_analytical_approaches_to_genetic_data?f_ri=6114","dom_id":"work_21529270","summary":"Background: Longitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches from the Genetic Analysis Workshop 19 (GAW19). These contributions investigated both genome-wide association (GWA) and whole genome sequence (WGS) data from odd numbered chromosomes on up to 4 time points for blood pressure–related phenotypes. The statistical models used included generalized estimating equations (GEEs), latent class growth modeling (LCGM), linear mixed-effect (LME), and variance components (VC). The goal of these analyses was to test statistical approaches that use repeat measurements to increase genetic signal for variant identification.","downloadable_attachments":[{"id":41997848,"asset_id":21529270,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"},{"id":278720,"first_name":"Anne","last_name":"Justice","domain_name":"geisinger","page_name":"AnneJustice","display_name":"Anne Justice","profile_url":"https://geisinger.academia.edu/AnneJustice?f_ri=6114","photo":"https://0.academia-photos.com/278720/68418/6368871/s65_anne.justice.jpg"}],"research_interests":[{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":13886,"name":"Longitudinal Research","url":"https://www.academia.edu/Documents/in/Longitudinal_Research?f_ri=6114","nofollow":false},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false},{"id":40727,"name":"Next generation sequencing","url":"https://www.academia.edu/Documents/in/Next_generation_sequencing?f_ri=6114"},{"id":95929,"name":"Longitudinal data analysis","url":"https://www.academia.edu/Documents/in/Longitudinal_data_analysis?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14541681" data-work_id="14541681" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14541681/Bioinformatic_analysis_of_next_generation_sequencing_data_using_high_performance_supercomputers">Bioinformatic analysis of next-generation sequencing data using high performance supercomputers</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14541681" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="befcbafaf4f975b3ece6401e45eca283" rel="nofollow" data-download="{"attachment_id":38349851,"asset_id":14541681,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/38349851/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_14541681 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14541681"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14541681, container: ".js-paper-rank-work_14541681", }); });</script></li><li class="js-percentile-work_14541681 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14541681; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14541681"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14541681 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14541681"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14541681; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14541681]").text(description); $(".js-view-count-work_14541681").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14541681").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14541681"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a>, <script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="40727" href="https://www.academia.edu/Documents/in/Next_generation_sequencing">Next generation sequencing</a><script data-card-contents-for-ri="40727" type="text/json">{"id":40727,"name":"Next generation sequencing","url":"https://www.academia.edu/Documents/in/Next_generation_sequencing?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14541681]'), work: {"id":14541681,"title":"Bioinformatic analysis of next-generation sequencing data using high performance supercomputers","created_at":"2015-07-31T18:52:22.664-07:00","url":"https://www.academia.edu/14541681/Bioinformatic_analysis_of_next_generation_sequencing_data_using_high_performance_supercomputers?f_ri=6114","dom_id":"work_14541681","summary":null,"downloadable_attachments":[{"id":38349851,"asset_id":14541681,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":40727,"name":"Next generation sequencing","url":"https://www.academia.edu/Documents/in/Next_generation_sequencing?f_ri=6114","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8190581" data-work_id="8190581" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8190581/Evidence_of_Heterogeneity_by_Race_Ethnicity_in_Genetic_Determinants_of_QT_Interval">Evidence of Heterogeneity by Race/Ethnicity in Genetic Determinants of QT Interval.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">BACKGROUND:: QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8190581" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">BACKGROUND::<br />QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations.<br />METHODS::<br />Here, we examine the direction, magnitude, and precision of effect sizes for 21 previously reported SNPs from 12 QT loci, in populations of European (n = 16,398), African (n = 5,437), American Indian (n = 5,032), Hispanic (n = 1,143), and Asian (n = 932) descent as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Estimates obtained from linear regression models stratified by race/ethnicity were combined using inverse-variance weighted meta-analysis. Heterogeneity was evaluated using Cochran's Q test.<br />RESULTS::<br />Of 21 SNPs, 7 showed consistent direction of effect across all 5 populations, and an additional 9 had estimated effects that were consistent across 4 populations. Despite consistent direction of effect, 9 of 16 SNPs had evidence (P < 0.05) of heterogeneity by race/ethnicity. For these 9 SNPs, linkage disequilibrium plots often indicated substantial variation in linkage disequilibrium patterns among the various racial/ethnic groups, as well as possible allelic heterogeneity.<br />CONCLUSIONS::<br />These results emphasize the importance of analyzing racial/ethnic groups separately in genetic studies. Furthermore, they underscore the possible utility of trans-ethnic studies to pinpoint underlying casual variants influencing heritable traits such as QT.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8190581" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="611e1f14aeddc24e4a1d12e8c293d056" rel="nofollow" data-download="{"attachment_id":34629763,"asset_id":8190581,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34629763/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_8190581 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8190581"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8190581, container: ".js-paper-rank-work_8190581", }); });</script></li><li class="js-percentile-work_8190581 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8190581; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8190581"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8190581 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8190581"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8190581; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8190581]").text(description); $(".js-view-count-work_8190581").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8190581").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8190581"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="606" href="https://www.academia.edu/Documents/in/Cardiology">Cardiology</a>, <script data-card-contents-for-ri="606" type="text/json">{"id":606,"name":"Cardiology","url":"https://www.academia.edu/Documents/in/Cardiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4480" href="https://www.academia.edu/Documents/in/Population_Genetics">Population Genetics</a><script data-card-contents-for-ri="4480" type="text/json">{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8190581]'), work: {"id":8190581,"title":"Evidence of Heterogeneity by Race/Ethnicity in Genetic Determinants of QT Interval.","created_at":"2014-09-03T19:11:30.547-07:00","url":"https://www.academia.edu/8190581/Evidence_of_Heterogeneity_by_Race_Ethnicity_in_Genetic_Determinants_of_QT_Interval?f_ri=6114","dom_id":"work_8190581","summary":"BACKGROUND::\nQT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations.\nMETHODS::\nHere, we examine the direction, magnitude, and precision of effect sizes for 21 previously reported SNPs from 12 QT loci, in populations of European (n = 16,398), African (n = 5,437), American Indian (n = 5,032), Hispanic (n = 1,143), and Asian (n = 932) descent as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Estimates obtained from linear regression models stratified by race/ethnicity were combined using inverse-variance weighted meta-analysis. Heterogeneity was evaluated using Cochran's Q test.\nRESULTS::\nOf 21 SNPs, 7 showed consistent direction of effect across all 5 populations, and an additional 9 had estimated effects that were consistent across 4 populations. Despite consistent direction of effect, 9 of 16 SNPs had evidence (P \u003c 0.05) of heterogeneity by race/ethnicity. For these 9 SNPs, linkage disequilibrium plots often indicated substantial variation in linkage disequilibrium patterns among the various racial/ethnic groups, as well as possible allelic heterogeneity.\nCONCLUSIONS::\nThese results emphasize the importance of analyzing racial/ethnic groups separately in genetic studies. Furthermore, they underscore the possible utility of trans-ethnic studies to pinpoint underlying casual variants influencing heritable traits such as QT.","downloadable_attachments":[{"id":34629763,"asset_id":8190581,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":606,"name":"Cardiology","url":"https://www.academia.edu/Documents/in/Cardiology?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":24735,"name":"Cardiovascular disease","url":"https://www.academia.edu/Documents/in/Cardiovascular_disease?f_ri=6114"},{"id":125069,"name":"Genetic Association Studies","url":"https://www.academia.edu/Documents/in/Genetic_Association_Studies?f_ri=6114"},{"id":1285756,"name":"QT interval","url":"https://www.academia.edu/Documents/in/QT_interval?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7964123" data-work_id="7964123" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7964123/Longitudinal_data_analysis_for_genetic_studies_in_the_whole_genome_sequencing_era">Longitudinal data analysis for genetic studies in the whole-genome sequencing era</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The analysis of whole-genome sequence (WGS) data using longitudinal phenotypes offers a potentially rich resource for the examination of the genetic variants and their covariates that affect complex phenotypes over time. We summarize... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7964123" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The analysis of whole-genome sequence (WGS) data using longitudinal phenotypes offers a potentially rich resource for the examination of the genetic variants and their covariates that affect complex phenotypes over time. We summarize eight contributions to the Genetic Analysis Workshop 18, which applied a diverse array of statistical genetic methods to analyze WGS data in combination with data from genome-wide association studies (GWAS) from up to four different time points on blood pressure phenotypes. The common goal of these analyses was to develop and apply appropriate methods that utilize longitudinal repeated measures to potentially increase the analytic efficiency of WGS and GWAS data. These diverse methods can be grouped into two categories, based on the way they model dependence structures: (1) linear mixed-effects (LME) models, where the random effect terms in the linear models are used to capture the dependence structures; and (2) variance-components models, where the dependence structures are constructed directly based on multiple components of variance-covariance matrices for the multivariate Gaussian responses. Despite the heterogeneous nature of these analytical methods, the group came to the following conclusions: (1) the use of repeat measurements can gain power to identify variants associated with the phenotype; (2) the inclusion of family data may correct genotyping errors and allow for more accurate detection of rare variants than using unrelated individuals only; and (3) fitting mixed-effects and variance-components models for longitudinal data presents computational challenges. The challenges and computational burden demanded by WGS data were addressed in the eight contributions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7964123" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="079068dbce062cae3d2c136bb31f7a5a" rel="nofollow" data-download="{"attachment_id":34436004,"asset_id":7964123,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34436004/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_7964123 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7964123"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7964123, container: ".js-paper-rank-work_7964123", }); });</script></li><li class="js-percentile-work_7964123 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7964123; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_7964123"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_7964123 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="7964123"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7964123; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7964123]").text(description); $(".js-view-count-work_7964123").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7964123").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7964123"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="892" href="https://www.academia.edu/Documents/in/Statistics">Statistics</a>, <script data-card-contents-for-ri="892" type="text/json">{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a><script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7964123]'), work: {"id":7964123,"title":"Longitudinal data analysis for genetic studies in the whole-genome sequencing era","created_at":"2014-08-13T12:10:03.825-07:00","url":"https://www.academia.edu/7964123/Longitudinal_data_analysis_for_genetic_studies_in_the_whole_genome_sequencing_era?f_ri=6114","dom_id":"work_7964123","summary":"The analysis of whole-genome sequence (WGS) data using longitudinal phenotypes offers a potentially rich resource for the examination of the genetic variants and their covariates that affect complex phenotypes over time. We summarize eight contributions to the Genetic Analysis Workshop 18, which applied a diverse array of statistical genetic methods to analyze WGS data in combination with data from genome-wide association studies (GWAS) from up to four different time points on blood pressure phenotypes. The common goal of these analyses was to develop and apply appropriate methods that utilize longitudinal repeated measures to potentially increase the analytic efficiency of WGS and GWAS data. These diverse methods can be grouped into two categories, based on the way they model dependence structures: (1) linear mixed-effects (LME) models, where the random effect terms in the linear models are used to capture the dependence structures; and (2) variance-components models, where the dependence structures are constructed directly based on multiple components of variance-covariance matrices for the multivariate Gaussian responses. Despite the heterogeneous nature of these analytical methods, the group came to the following conclusions: (1) the use of repeat measurements can gain power to identify variants associated with the phenotype; (2) the inclusion of family data may correct genotyping errors and allow for more accurate detection of rare variants than using unrelated individuals only; and (3) fitting mixed-effects and variance-components models for longitudinal data presents computational challenges. The challenges and computational burden demanded by WGS data were addressed in the eight contributions.","downloadable_attachments":[{"id":34436004,"asset_id":7964123,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":40727,"name":"Next generation sequencing","url":"https://www.academia.edu/Documents/in/Next_generation_sequencing?f_ri=6114"},{"id":88321,"name":"Blood Pressure","url":"https://www.academia.edu/Documents/in/Blood_Pressure?f_ri=6114"},{"id":95929,"name":"Longitudinal data analysis","url":"https://www.academia.edu/Documents/in/Longitudinal_data_analysis?f_ri=6114"},{"id":320555,"name":"Whole Genome Sequencing","url":"https://www.academia.edu/Documents/in/Whole_Genome_Sequencing?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_281840" data-work_id="281840" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/281840/Genome_Wide_Mis_Expression_of_X_Linked_Vs_Autosomal_Genes_Associated_With_Hybrid_Male_Sterility">Genome-Wide Mis-Expression of X-Linked Vs. Autosomal Genes Associated With Hybrid Male Sterility</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Postmating reproductive isolation is often manifested as hybrid male sterility, for which X-linked genes are overrepresented (the so-called large X effect). In contrast, X-linked genes are significantly under-represented among... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_281840" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Postmating reproductive isolation is often manifested as hybrid male sterility, for which X-linked genes are overrepresented (the so-called large X effect). In contrast, X-linked genes are significantly under-represented among testis-expressing genes. This seeming contradiction may be germane to the X:autosome imbalance hypothesis on hybrid sterility, in which the X-linked effect is mediated mainly through the misexpression of autosomal genes. In this study, we compared gene expression in fertile and sterile males in the hybrids between two Drosophila species. These hybrid males differ only in a small region of the X chromosome containing the Ods-site homeobox (OdsH) (also known as Odysseus) locus of hybrid sterility. Of genes expressed in the testis, autosomal genes were, indeed, more likely to be misexpressed than X-linked genes under the sterilizing action of OdsH. Since this mechanism of X:autosome interaction is only associated with spermatogenesis, a connection between X:autosome imbalance and the high rate of hybrid male sterility seems plausible.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/281840" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e44adae8178ef6a9c2224ad038f6c5ba" rel="nofollow" data-download="{"attachment_id":1276267,"asset_id":281840,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/1276267/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="189024" href="https://brynmawr.academia.edu/JAShapiro">Joshua A Shapiro</a><script data-card-contents-for-user="189024" type="text/json">{"id":189024,"first_name":"Joshua","last_name":"Shapiro","domain_name":"brynmawr","page_name":"JAShapiro","display_name":"Joshua A Shapiro","profile_url":"https://brynmawr.academia.edu/JAShapiro?f_ri=6114","photo":"https://0.academia-photos.com/189024/90105/568432/s65_joshua.shapiro.jpg"}</script></span></span></li><li class="js-paper-rank-work_281840 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="281840"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 281840, container: ".js-paper-rank-work_281840", }); });</script></li><li class="js-percentile-work_281840 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 281840; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_281840"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_281840 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="281840"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 281840; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=281840]").text(description); $(".js-view-count-work_281840").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_281840").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="281840"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3216" href="https://www.academia.edu/Documents/in/Genomics">Genomics</a>, <script data-card-contents-for-ri="3216" type="text/json">{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4310" href="https://www.academia.edu/Documents/in/Speciation">Speciation</a><script data-card-contents-for-ri="4310" type="text/json">{"id":4310,"name":"Speciation","url":"https://www.academia.edu/Documents/in/Speciation?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=281840]'), work: {"id":281840,"title":"Genome-Wide Mis-Expression of X-Linked Vs. Autosomal Genes Associated With Hybrid Male Sterility","created_at":"2010-08-01T22:40:31.436-07:00","url":"https://www.academia.edu/281840/Genome_Wide_Mis_Expression_of_X_Linked_Vs_Autosomal_Genes_Associated_With_Hybrid_Male_Sterility?f_ri=6114","dom_id":"work_281840","summary":"Postmating reproductive isolation is often manifested as hybrid male sterility, for which X-linked genes are overrepresented (the so-called large X effect). In contrast, X-linked genes are significantly under-represented among testis-expressing genes. This seeming contradiction may be germane to the X:autosome imbalance hypothesis on hybrid sterility, in which the X-linked effect is mediated mainly through the misexpression of autosomal genes. In this study, we compared gene expression in fertile and sterile males in the hybrids between two Drosophila species. These hybrid males differ only in a small region of the X chromosome containing the Ods-site homeobox (OdsH) (also known as Odysseus) locus of hybrid sterility. Of genes expressed in the testis, autosomal genes were, indeed, more likely to be misexpressed than X-linked genes under the sterilizing action of OdsH. Since this mechanism of X:autosome interaction is only associated with spermatogenesis, a connection between X:autosome imbalance and the high rate of hybrid male sterility seems plausible.","downloadable_attachments":[{"id":1276267,"asset_id":281840,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":189024,"first_name":"Joshua","last_name":"Shapiro","domain_name":"brynmawr","page_name":"JAShapiro","display_name":"Joshua A Shapiro","profile_url":"https://brynmawr.academia.edu/JAShapiro?f_ri=6114","photo":"https://0.academia-photos.com/189024/90105/568432/s65_joshua.shapiro.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false},{"id":4310,"name":"Speciation","url":"https://www.academia.edu/Documents/in/Speciation?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":10882,"name":"Evolution","url":"https://www.academia.edu/Documents/in/Evolution?f_ri=6114"},{"id":25997,"name":"Evolutionary Genetics (Evolution)","url":"https://www.academia.edu/Documents/in/Evolutionary_Genetics_Evolution_?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44250965" data-work_id="44250965" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/44250965/Identifying_gene_targets_for_brain_related_traits_using_transcriptomic_and_methylomic_data_from_blood">Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44250965" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or-DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (r b). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples (r b ¼ 0:70 for cis-eQTLs andr b ¼ 0:78 for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44250965" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d93bded2c75a630100a149637411423d" rel="nofollow" data-download="{"attachment_id":64623938,"asset_id":44250965,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64623938/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="40468276" href="https://uq.academia.edu/AngliXue">Angli Xue</a><script data-card-contents-for-user="40468276" type="text/json">{"id":40468276,"first_name":"Angli","last_name":"Xue","domain_name":"uq","page_name":"AngliXue","display_name":"Angli Xue","profile_url":"https://uq.academia.edu/AngliXue?f_ri=6114","photo":"https://0.academia-photos.com/40468276/12762177/14192559/s65_angli.xue.jpg"}</script></span></span></li><li class="js-paper-rank-work_44250965 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44250965"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44250965, container: ".js-paper-rank-work_44250965", }); });</script></li><li class="js-percentile-work_44250965 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44250965; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_44250965"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_44250965 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="44250965"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44250965; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44250965]").text(description); $(".js-view-count-work_44250965").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44250965").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44250965"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a>, <script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4341" href="https://www.academia.edu/Documents/in/Transcriptomics">Transcriptomics</a>, <script data-card-contents-for-ri="4341" type="text/json">{"id":4341,"name":"Transcriptomics","url":"https://www.academia.edu/Documents/in/Transcriptomics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="23471" href="https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_">Genome Wide Association Studies (GWAS)</a><script data-card-contents-for-ri="23471" type="text/json">{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44250965]'), work: {"id":44250965,"title":"Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood","created_at":"2020-10-07T21:25:26.538-07:00","url":"https://www.academia.edu/44250965/Identifying_gene_targets_for_brain_related_traits_using_transcriptomic_and_methylomic_data_from_blood?f_ri=6114","dom_id":"work_44250965","summary":"Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or-DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (r b). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples (r b ¼ 0:70 for cis-eQTLs andr b ¼ 0:78 for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes.","downloadable_attachments":[{"id":64623938,"asset_id":44250965,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40468276,"first_name":"Angli","last_name":"Xue","domain_name":"uq","page_name":"AngliXue","display_name":"Angli Xue","profile_url":"https://uq.academia.edu/AngliXue?f_ri=6114","photo":"https://0.academia-photos.com/40468276/12762177/14192559/s65_angli.xue.jpg"}],"research_interests":[{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":4341,"name":"Transcriptomics","url":"https://www.academia.edu/Documents/in/Transcriptomics?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114","nofollow":false},{"id":121665,"name":"DNA methylation","url":"https://www.academia.edu/Documents/in/DNA_methylation?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_19869778" data-work_id="19869778" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/19869778/Systematic_chromatin_state_comparison_of_epigenomes_associated_with_diverse_properties_including_sex_and_tissue_type">Systematic chromatin state comparison of epigenomes associated with diverse properties including sex and tissue type</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Epigenomic data sets provide critical information about the dynamic role of chromatin states in gene regulation, but a key question of how chromatin state segmentations vary under different conditions across the genome has remained... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_19869778" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Epigenomic data sets provide critical information about the dynamic role of chromatin states<br />in gene regulation, but a key question of how chromatin state segmentations vary under<br />different conditions across the genome has remained unaddressed. Here we present<br />ChromDiff, a group-wise chromatin state comparison method that generates an information theoretic representation of epigenomes and corrects for external covariate factors to better isolate relevant chromatin state changes. By applying ChromDiff to the 127 epigenomes from the Roadmap Epigenomics and ENCODE projects, we provide novel group-wise comparative analyses across sex, tissue type, state and developmental age. Remarkably, we find that distinct sets of epigenomic features are maximally discriminative for different group-wise comparisons, in each case revealing distinct enriched pathways, many of which do not show gene expression differences. Our methodology should be broadly applicable for epigenomic comparisons and provides a powerful new tool for studying chromatin state differences at the genome scale.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/19869778" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="05bdbb4d8f260bd3ba7c2c089aecb2b1" rel="nofollow" data-download="{"attachment_id":40889716,"asset_id":19869778,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40889716/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="40677311" href="https://mit.academia.edu/AngelaYen">Angela Yen</a><script data-card-contents-for-user="40677311" type="text/json">{"id":40677311,"first_name":"Angela","last_name":"Yen","domain_name":"mit","page_name":"AngelaYen","display_name":"Angela Yen","profile_url":"https://mit.academia.edu/AngelaYen?f_ri=6114","photo":"https://0.academia-photos.com/40677311/11080498/12365220/s65_angela.yen.jpg"}</script></span></span></li><li class="js-paper-rank-work_19869778 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="19869778"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 19869778, container: ".js-paper-rank-work_19869778", }); });</script></li><li class="js-percentile-work_19869778 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19869778; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_19869778"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_19869778 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="19869778"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19869778; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19869778]").text(description); $(".js-view-count-work_19869778").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_19869778").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="19869778"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3058" href="https://www.academia.edu/Documents/in/Biostatistics">Biostatistics</a>, <script data-card-contents-for-ri="3058" type="text/json">{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3216" href="https://www.academia.edu/Documents/in/Genomics">Genomics</a><script data-card-contents-for-ri="3216" type="text/json">{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=19869778]'), work: {"id":19869778,"title":"Systematic chromatin state comparison of epigenomes associated with diverse properties including sex and tissue type","created_at":"2015-12-28T08:05:49.298-08:00","url":"https://www.academia.edu/19869778/Systematic_chromatin_state_comparison_of_epigenomes_associated_with_diverse_properties_including_sex_and_tissue_type?f_ri=6114","dom_id":"work_19869778","summary":"Epigenomic data sets provide critical information about the dynamic role of chromatin states\nin gene regulation, but a key question of how chromatin state segmentations vary under\ndifferent conditions across the genome has remained unaddressed. Here we present\nChromDiff, a group-wise chromatin state comparison method that generates an information theoretic representation of epigenomes and corrects for external covariate factors to better isolate relevant chromatin state changes. By applying ChromDiff to the 127 epigenomes from the Roadmap Epigenomics and ENCODE projects, we provide novel group-wise comparative analyses across sex, tissue type, state and developmental age. Remarkably, we find that distinct sets of epigenomic features are maximally discriminative for different group-wise comparisons, in each case revealing distinct enriched pathways, many of which do not show gene expression differences. Our methodology should be broadly applicable for epigenomic comparisons and provides a powerful new tool for studying chromatin state differences at the genome scale.","downloadable_attachments":[{"id":40889716,"asset_id":19869778,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40677311,"first_name":"Angela","last_name":"Yen","domain_name":"mit","page_name":"AngelaYen","display_name":"Angela Yen","profile_url":"https://mit.academia.edu/AngelaYen?f_ri=6114","photo":"https://0.academia-photos.com/40677311/11080498/12365220/s65_angela.yen.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=6114","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":3058,"name":"Biostatistics","url":"https://www.academia.edu/Documents/in/Biostatistics?f_ri=6114","nofollow":false},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114","nofollow":false},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=6114"},{"id":4338,"name":"Gene regulation","url":"https://www.academia.edu/Documents/in/Gene_regulation?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":11426,"name":"Chromatin Biology","url":"https://www.academia.edu/Documents/in/Chromatin_Biology?f_ri=6114"},{"id":12620,"name":"Quantitative Methods","url":"https://www.academia.edu/Documents/in/Quantitative_Methods?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":30387,"name":"Functional Genomics","url":"https://www.academia.edu/Documents/in/Functional_Genomics?f_ri=6114"},{"id":39700,"name":"Computational Genomics","url":"https://www.academia.edu/Documents/in/Computational_Genomics?f_ri=6114"},{"id":39702,"name":"Computational Functional Genomics","url":"https://www.academia.edu/Documents/in/Computational_Functional_Genomics?f_ri=6114"},{"id":49066,"name":"Epigenomics","url":"https://www.academia.edu/Documents/in/Epigenomics?f_ri=6114"},{"id":54212,"name":"Molecular Biology: Gene expression and regulation, population genetics","url":"https://www.academia.edu/Documents/in/Molecular_Biology_Gene_expression_and_regulation_population_genetics?f_ri=6114"},{"id":82128,"name":"Epigenetics \u0026 Chromatin Biology","url":"https://www.academia.edu/Documents/in/Epigenetics_and_Chromatin_Biology?f_ri=6114"},{"id":150688,"name":"Bioinformatics, Computational and Systems Biology","url":"https://www.academia.edu/Documents/in/Bioinformatics_Computational_and_Systems_Biology?f_ri=6114"},{"id":474956,"name":"Gene Regulation and Epigenetics","url":"https://www.academia.edu/Documents/in/Gene_Regulation_and_Epigenetics?f_ri=6114"},{"id":931948,"name":"Gene expression and regulation","url":"https://www.academia.edu/Documents/in/Gene_expression_and_regulation?f_ri=6114"},{"id":1352417,"name":"Computational and Systems Biology","url":"https://www.academia.edu/Documents/in/Computational_and_Systems_Biology?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9332360 coauthored" data-work_id="9332360" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9332360/Genomic_Prediction_of_Health_Traits_in_Humans_Demonstrating_the_Value_of_Marker_Selection">Genomic Prediction of Health Traits in Humans: Demonstrating the Value of Marker Selection</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this study, we explored prediction of human height, high-density lipoproteins (HDL) and body mass index (BMI) using SNPs within a Croatian (N=2,186) and into a UK population (N=810) using two methods from livestock breeding: Bayes-C... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9332360" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this study, we explored prediction of human height, high-density lipoproteins (HDL) and body mass index (BMI) using SNPs within a Croatian (N=2,186) and into a UK population (N=810) using two methods from livestock breeding: Bayes-C (using Gibbs sampling) and GBLUP. Correlation between predicted and observed trait values in 10-fold cross-validation was used to assess prediction accuracy. Using all available 263,357 SNPs, Bayes-C and G-BLUP had similar prediction accuracy across traits within the Croatian data, and for height and BMI when predicting into the UK population. However, Bayes-C outperformed G-BLUP in the prediction of less polygenic HDL into the UK population. Feature selection allowed G-BLUP to achieve equivalent predictive performance to Bayes-C across all traits with greatly reduced computational effort. Feature selection in the GBLUP framework therefore provides an efficient alternative to computationally expensive Bayes-C for traits considered in this study.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9332360" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f7c6e446669d203e51728da4601aef95" rel="nofollow" data-download="{"attachment_id":35590272,"asset_id":9332360,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/35590272/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21557136" href="https://edinburgh.academia.edu/MaireadLBermingham">Mairead L. Bermingham</a><script data-card-contents-for-user="21557136" type="text/json">{"id":21557136,"first_name":"Mairead L.","last_name":"Bermingham","domain_name":"edinburgh","page_name":"MaireadLBermingham","display_name":"Mairead L. Bermingham","profile_url":"https://edinburgh.academia.edu/MaireadLBermingham?f_ri=6114","photo":"https://0.academia-photos.com/21557136/5926541/13604512/s65_mairead_l..bermingham.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-9332360">+1</span><div class="hidden js-additional-users-9332360"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/AthinaSpiliopoulou">Athina Spiliopoulou</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-9332360'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-9332360').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_9332360 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9332360"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9332360, container: ".js-paper-rank-work_9332360", }); });</script></li><li class="js-percentile-work_9332360 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 9332360; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_9332360"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_9332360 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="9332360"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 9332360; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=9332360]").text(description); $(".js-view-count-work_9332360").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9332360").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="9332360"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">23</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="586" href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a>, <script data-card-contents-for-ri="586" type="text/json">{"id":586,"name":"Health Sciences","url":"https://www.academia.edu/Documents/in/Health_Sciences?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="981" href="https://www.academia.edu/Documents/in/Health_Promotion">Health Promotion</a>, <script data-card-contents-for-ri="981" type="text/json">{"id":981,"name":"Health Promotion","url":"https://www.academia.edu/Documents/in/Health_Promotion?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1135" href="https://www.academia.edu/Documents/in/Human_Genetics">Human Genetics</a><script data-card-contents-for-ri="1135" type="text/json">{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9332360]'), work: {"id":9332360,"title":"Genomic Prediction of Health Traits in Humans: Demonstrating the Value of Marker Selection","created_at":"2014-11-16T00:23:54.298-08:00","url":"https://www.academia.edu/9332360/Genomic_Prediction_of_Health_Traits_in_Humans_Demonstrating_the_Value_of_Marker_Selection?f_ri=6114","dom_id":"work_9332360","summary":"In this study, we explored prediction of human height, high-density lipoproteins (HDL) and body mass index (BMI) using SNPs within a Croatian (N=2,186) and into a UK population (N=810) using two methods from livestock breeding: Bayes-C (using Gibbs sampling) and GBLUP. Correlation between predicted and observed trait values in 10-fold cross-validation was used to assess prediction accuracy. Using all available 263,357 SNPs, Bayes-C and G-BLUP had similar prediction accuracy across traits within the Croatian data, and for height and BMI when predicting into the UK population. However, Bayes-C outperformed G-BLUP in the prediction of less polygenic HDL into the UK population. Feature selection allowed G-BLUP to achieve equivalent predictive performance to Bayes-C across all traits with greatly reduced computational effort. Feature selection in the GBLUP framework therefore provides an efficient alternative to computationally expensive Bayes-C for traits considered in this study.","downloadable_attachments":[{"id":35590272,"asset_id":9332360,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21557136,"first_name":"Mairead L.","last_name":"Bermingham","domain_name":"edinburgh","page_name":"MaireadLBermingham","display_name":"Mairead L. Bermingham","profile_url":"https://edinburgh.academia.edu/MaireadLBermingham?f_ri=6114","photo":"https://0.academia-photos.com/21557136/5926541/13604512/s65_mairead_l..bermingham.jpg"},{"id":52155748,"first_name":"Athina","last_name":"Spiliopoulou","domain_name":"independent","page_name":"AthinaSpiliopoulou","display_name":"Athina Spiliopoulou","profile_url":"https://independent.academia.edu/AthinaSpiliopoulou?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":586,"name":"Health Sciences","url":"https://www.academia.edu/Documents/in/Health_Sciences?f_ri=6114","nofollow":false},{"id":981,"name":"Health Promotion","url":"https://www.academia.edu/Documents/in/Health_Promotion?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":1135,"name":"Human Genetics","url":"https://www.academia.edu/Documents/in/Human_Genetics?f_ri=6114","nofollow":false},{"id":2568,"name":"Medical Genetics","url":"https://www.academia.edu/Documents/in/Medical_Genetics?f_ri=6114"},{"id":3216,"name":"Genomics","url":"https://www.academia.edu/Documents/in/Genomics?f_ri=6114"},{"id":4388,"name":"Computational Statistics","url":"https://www.academia.edu/Documents/in/Computational_Statistics?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":10513,"name":"Bayesian Network Classifiers","url":"https://www.academia.edu/Documents/in/Bayesian_Network_Classifiers?f_ri=6114"},{"id":14406,"name":"Health","url":"https://www.academia.edu/Documents/in/Health?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":24107,"name":"Ageing and Health","url":"https://www.academia.edu/Documents/in/Ageing_and_Health?f_ri=6114"},{"id":41239,"name":"Bayesian statistics \u0026 modelling","url":"https://www.academia.edu/Documents/in/Bayesian_statistics_and_modelling?f_ri=6114"},{"id":51168,"name":"Predictive Analytics","url":"https://www.academia.edu/Documents/in/Predictive_Analytics?f_ri=6114"},{"id":135852,"name":"BMI","url":"https://www.academia.edu/Documents/in/BMI?f_ri=6114"},{"id":161594,"name":"High Dimensional Data","url":"https://www.academia.edu/Documents/in/High_Dimensional_Data?f_ri=6114"},{"id":201312,"name":"High Dimensional Model Representation","url":"https://www.academia.edu/Documents/in/High_Dimensional_Model_Representation?f_ri=6114"},{"id":301560,"name":"Personalised Medicine","url":"https://www.academia.edu/Documents/in/Personalised_Medicine?f_ri=6114"},{"id":571290,"name":"High Density Lipoprotein","url":"https://www.academia.edu/Documents/in/High_Density_Lipoprotein?f_ri=6114"},{"id":916557,"name":"Complex Traits","url":"https://www.academia.edu/Documents/in/Complex_Traits?f_ri=6114"},{"id":1007210,"name":"High Dimensional Inference","url":"https://www.academia.edu/Documents/in/High_Dimensional_Inference?f_ri=6114"},{"id":1638934,"name":"Stratified Medicine","url":"https://www.academia.edu/Documents/in/Stratified_Medicine?f_ri=6114"},{"id":1670288,"name":"Human Height","url":"https://www.academia.edu/Documents/in/Human_Height?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_287448" data-work_id="287448" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/287448/Bivariate_Genetic_Association_of_KIAA1797_With_Heart_Rate_In_American_Indians_the_Strong_Heart_Family_Study">Bivariate Genetic Association of KIAA1797 With Heart Rate In American Indians: the Strong Heart Family Study</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Heart rate (HR) has been identified as a risk factor for cardiovascular disease (CVD), yet little is known regarding genetic factors influencing this phenotype. Previous research in American Indians (AIs) from the Strong Heart Family... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_287448" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Heart rate (HR) has been identified as a risk factor for cardiovascular disease (CVD), yet little is known regarding genetic factors influencing this phenotype. Previous research in American Indians (AIs) from the Strong Heart Family Study (SHFS) identified a significant quantitative trait locus (QTL) for HR on chromosome 9p21. Genetic association on HR was conducted in the SHFS. HR was measured from electrocardiogram (ECG) and echocardiograph (Echo) Doppler recordings. We examined 2248 single-nucleotide polymorphisms (SNPs) on chromosome 9p21 for association using a gene-centric statistical test. We replicated the aforementioned QTL [logarithm of odds (LOD) = 4.83; genome-wide P= 0.0003] on chromosome 9p21 in one SHFS population using joint linkage of ECG and Echo HR. After correcting for effective number of SNPs using a gene-centric test, six SNPs (rs7875153, rs7848524, rs4446809, rs10964759, rs1125488 and rs7853123) remained significant. We applied a novel bivariate association method, which was a joint test of association of a single locus to two traits using a standard additive genetic model. The SNP, rs7875153, provided the strongest evidence for association (P = 7.14 x 10(-6)). This SNP (rs7875153) is rare (minor allele frequency = 0.02) in AIs and is located within intron 9 of the gene KIAA1797. To support this association, we applied lymphocyte RNA expression data from the San Antonio Family Heart Study, a longitudinal study of CVD in Mexican Americans. Expression levels of KIAA1797 were significantly associated (P = 0.012) with HR. These findings in independent populations support that KIAA1797 genetic variation may be associated with HR but elucidation of a functional relationship requires additional study.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/287448" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="15204c21f16cb8742b27c55460f7df27" rel="nofollow" data-download="{"attachment_id":12908968,"asset_id":287448,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/12908968/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="229000" href="https://curtinedu.academia.edu/PhillipMelton">Phillip Melton</a><script data-card-contents-for-user="229000" type="text/json">{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}</script></span></span></li><li class="js-paper-rank-work_287448 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="287448"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 287448, container: ".js-paper-rank-work_287448", }); });</script></li><li class="js-percentile-work_287448 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 287448; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_287448"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_287448 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="287448"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 287448; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=287448]").text(description); $(".js-view-count-work_287448").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_287448").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="287448"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="46824" href="https://www.academia.edu/Documents/in/Echocardiography">Echocardiography</a><script data-card-contents-for-ri="46824" type="text/json">{"id":46824,"name":"Echocardiography","url":"https://www.academia.edu/Documents/in/Echocardiography?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=287448]'), work: {"id":287448,"title":"Bivariate Genetic Association of KIAA1797 With Heart Rate In American Indians: the Strong Heart Family Study","created_at":"2010-08-06T04:47:17.116-07:00","url":"https://www.academia.edu/287448/Bivariate_Genetic_Association_of_KIAA1797_With_Heart_Rate_In_American_Indians_the_Strong_Heart_Family_Study?f_ri=6114","dom_id":"work_287448","summary":"Heart rate (HR) has been identified as a risk factor for cardiovascular disease (CVD), yet little is known regarding genetic factors influencing this phenotype. Previous research in American Indians (AIs) from the Strong Heart Family Study (SHFS) identified a significant quantitative trait locus (QTL) for HR on chromosome 9p21. Genetic association on HR was conducted in the SHFS. HR was measured from electrocardiogram (ECG) and echocardiograph (Echo) Doppler recordings. We examined 2248 single-nucleotide polymorphisms (SNPs) on chromosome 9p21 for association using a gene-centric statistical test. We replicated the aforementioned QTL [logarithm of odds (LOD) = 4.83; genome-wide P= 0.0003] on chromosome 9p21 in one SHFS population using joint linkage of ECG and Echo HR. After correcting for effective number of SNPs using a gene-centric test, six SNPs (rs7875153, rs7848524, rs4446809, rs10964759, rs1125488 and rs7853123) remained significant. We applied a novel bivariate association method, which was a joint test of association of a single locus to two traits using a standard additive genetic model. The SNP, rs7875153, provided the strongest evidence for association (P = 7.14 x 10(-6)). This SNP (rs7875153) is rare (minor allele frequency = 0.02) in AIs and is located within intron 9 of the gene KIAA1797. To support this association, we applied lymphocyte RNA expression data from the San Antonio Family Heart Study, a longitudinal study of CVD in Mexican Americans. Expression levels of KIAA1797 were significantly associated (P = 0.012) with HR. These findings in independent populations support that KIAA1797 genetic variation may be associated with HR but elucidation of a functional relationship requires additional study.","downloadable_attachments":[{"id":12908968,"asset_id":287448,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":229000,"first_name":"Phillip","last_name":"Melton","domain_name":"curtinedu","page_name":"PhillipMelton","display_name":"Phillip Melton","profile_url":"https://curtinedu.academia.edu/PhillipMelton?f_ri=6114","photo":"https://0.academia-photos.com/229000/50893/46858/s65_phillip.melton.jpeg"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":46824,"name":"Echocardiography","url":"https://www.academia.edu/Documents/in/Echocardiography?f_ri=6114","nofollow":false},{"id":77076,"name":"Arizona","url":"https://www.academia.edu/Documents/in/Arizona?f_ri=6114"},{"id":112210,"name":"Native Americans","url":"https://www.academia.edu/Documents/in/Native_Americans?f_ri=6114"},{"id":122645,"name":"Oklahoma","url":"https://www.academia.edu/Documents/in/Oklahoma?f_ri=6114"},{"id":131298,"name":"Heart rate","url":"https://www.academia.edu/Documents/in/Heart_rate?f_ri=6114"},{"id":735498,"name":"Bivariate Association","url":"https://www.academia.edu/Documents/in/Bivariate_Association?f_ri=6114"},{"id":735503,"name":"Dakotas","url":"https://www.academia.edu/Documents/in/Dakotas?f_ri=6114"},{"id":735504,"name":"Genetic Association","url":"https://www.academia.edu/Documents/in/Genetic_Association?f_ri=6114"},{"id":735505,"name":"Integrative Genomics","url":"https://www.academia.edu/Documents/in/Integrative_Genomics?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75486340" data-work_id="75486340" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75486340/Common_genetic_variants_associated_with_cognitive_performance_identified_using_the_proxy_phenotype_method">Common genetic variants associated with cognitive performance identified using the proxy-phenotype method</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75486340" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated SNPs. Second, using independent samples (n = 24,189), we measure the association of these education-associated SNPs with cognitive performance. Three SNPs (rs1487441, rs7923609, and rs2721173) are significantly associated with cognitive performance after correction for multiple hypothesis testing. In an independent sample of older Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SNPs is associated with memory and absence of dementia. Convergent evidence from a set of bioinformatics analyses implicates four specific genes (KNCMA1, NRXN1, POU2F3, and SCRT). All of these genes are associated with a particular neurotransmitter pathway involved ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75486340" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="56ff011f6da4460ac5fd2d4918239df3" rel="nofollow" data-download="{"attachment_id":83236302,"asset_id":75486340,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83236302/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31902819" href="https://independent.academia.edu/DavidLiewald">David Liewald</a><script data-card-contents-for-user="31902819" type="text/json">{"id":31902819,"first_name":"David","last_name":"Liewald","domain_name":"independent","page_name":"DavidLiewald","display_name":"David Liewald","profile_url":"https://independent.academia.edu/DavidLiewald?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75486340 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75486340"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75486340, container: ".js-paper-rank-work_75486340", }); });</script></li><li class="js-percentile-work_75486340 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75486340; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75486340"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75486340 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75486340"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75486340; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75486340]").text(description); $(".js-view-count-work_75486340").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75486340").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75486340"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2674" href="https://www.academia.edu/Documents/in/Intelligence">Intelligence</a>, <script data-card-contents-for-ri="2674" type="text/json">{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a>, <script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7590" href="https://www.academia.edu/Documents/in/Behavior_Genetics">Behavior Genetics</a><script data-card-contents-for-ri="7590" type="text/json">{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75486340]'), work: {"id":75486340,"title":"Common genetic variants associated with cognitive performance identified using the proxy-phenotype method","created_at":"2022-04-04T22:40:21.663-07:00","url":"https://www.academia.edu/75486340/Common_genetic_variants_associated_with_cognitive_performance_identified_using_the_proxy_phenotype_method?f_ri=6114","dom_id":"work_75486340","summary":"We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated SNPs. Second, using independent samples (n = 24,189), we measure the association of these education-associated SNPs with cognitive performance. Three SNPs (rs1487441, rs7923609, and rs2721173) are significantly associated with cognitive performance after correction for multiple hypothesis testing. In an independent sample of older Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SNPs is associated with memory and absence of dementia. Convergent evidence from a set of bioinformatics analyses implicates four specific genes (KNCMA1, NRXN1, POU2F3, and SCRT). All of these genes are associated with a particular neurotransmitter pathway involved ...","downloadable_attachments":[{"id":83236302,"asset_id":75486340,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":31902819,"first_name":"David","last_name":"Liewald","domain_name":"independent","page_name":"DavidLiewald","display_name":"David Liewald","profile_url":"https://independent.academia.edu/DavidLiewald?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=6114"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning?f_ri=6114"},{"id":46858,"name":"Memory","url":"https://www.academia.edu/Documents/in/Memory?f_ri=6114"},{"id":129917,"name":"Human Behavioral Genetics","url":"https://www.academia.edu/Documents/in/Human_Behavioral_Genetics?f_ri=6114"},{"id":132020,"name":"Neuronal Plasticity","url":"https://www.academia.edu/Documents/in/Neuronal_Plasticity?f_ri=6114"},{"id":176503,"name":"Synaptic Transmission","url":"https://www.academia.edu/Documents/in/Synaptic_Transmission?f_ri=6114"},{"id":403740,"name":"Single Nucleotide Polymorphism","url":"https://www.academia.edu/Documents/in/Single_Nucleotide_Polymorphism?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56981882" data-work_id="56981882" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56981882/Gene_discovery_and_polygenic_prediction_from_a_genome_wide_association_study_of_educational_attainment_in_1_1_million_individuals">Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56981882" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56981882" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6c8d2120f0e77100d60121c58aac0ec5" rel="nofollow" data-download="{"attachment_id":72101865,"asset_id":56981882,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72101865/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13199486" href="https://independent.academia.edu/PhilippKoellinger">Philipp Koellinger</a><script data-card-contents-for-user="13199486" type="text/json">{"id":13199486,"first_name":"Philipp","last_name":"Koellinger","domain_name":"independent","page_name":"PhilippKoellinger","display_name":"Philipp Koellinger","profile_url":"https://independent.academia.edu/PhilippKoellinger?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_56981882 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56981882"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56981882, container: ".js-paper-rank-work_56981882", }); });</script></li><li class="js-percentile-work_56981882 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56981882; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_56981882"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_56981882 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="56981882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56981882; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56981882]").text(description); $(".js-view-count-work_56981882").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_56981882").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="56981882"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2674" href="https://www.academia.edu/Documents/in/Intelligence">Intelligence</a>, <script data-card-contents-for-ri="2674" type="text/json">{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6114" href="https://www.academia.edu/Documents/in/Statistical_Genetics">Statistical Genetics</a>, <script data-card-contents-for-ri="6114" type="text/json">{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7590" href="https://www.academia.edu/Documents/in/Behavior_Genetics">Behavior Genetics</a>, <script data-card-contents-for-ri="7590" type="text/json">{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="17564" href="https://www.academia.edu/Documents/in/Quantitative_Genetics">Quantitative Genetics</a><script data-card-contents-for-ri="17564" type="text/json">{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56981882]'), work: {"id":56981882,"title":"Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals","created_at":"2021-10-10T12:18:37.946-07:00","url":"https://www.academia.edu/56981882/Gene_discovery_and_polygenic_prediction_from_a_genome_wide_association_study_of_educational_attainment_in_1_1_million_individuals?f_ri=6114","dom_id":"work_56981882","summary":"Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.","downloadable_attachments":[{"id":72101865,"asset_id":56981882,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13199486,"first_name":"Philipp","last_name":"Koellinger","domain_name":"independent","page_name":"PhilippKoellinger","display_name":"Philipp Koellinger","profile_url":"https://independent.academia.edu/PhilippKoellinger?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114","nofollow":false},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114","nofollow":false},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114","nofollow":false},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_52957547" data-work_id="52957547" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/52957547/Genome_wide_association_study_identifies_74_loci_associated_with_educational_attainment">Genome-wide association study identifies 74 loci associated with educational attainment</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_52957547" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environment...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/52957547" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="046f5c3adc3a9940925471c544777a52" rel="nofollow" data-download="{"attachment_id":69968780,"asset_id":52957547,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/69968780/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33559279" href="https://rug.academia.edu/PVanDerMost">Peter J van der Most</a><script data-card-contents-for-user="33559279" type="text/json">{"id":33559279,"first_name":"Peter","last_name":"van der Most","domain_name":"rug","page_name":"PVanDerMost","display_name":"Peter J van der Most","profile_url":"https://rug.academia.edu/PVanDerMost?f_ri=6114","photo":"https://0.academia-photos.com/33559279/10147323/11322938/s65_peter.van_der_most.jpg"}</script></span></span></li><li class="js-paper-rank-work_52957547 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="52957547"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 52957547, container: ".js-paper-rank-work_52957547", }); });</script></li><li class="js-percentile-work_52957547 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 52957547; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_52957547"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_52957547 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="52957547"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 52957547; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=52957547]").text(description); $(".js-view-count-work_52957547").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_52957547").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="52957547"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2674" href="https://www.academia.edu/Documents/in/Intelligence">Intelligence</a>, <script data-card-contents-for-ri="2674" type="text/json">{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3227" href="https://www.academia.edu/Documents/in/Schizophrenia">Schizophrenia</a>, <script data-card-contents-for-ri="3227" type="text/json">{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3230" href="https://www.academia.edu/Documents/in/Bipolar_Disorder">Bipolar Disorder</a>, <script data-card-contents-for-ri="3230" type="text/json">{"id":3230,"name":"Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Bipolar_Disorder?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a><script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=52957547]'), work: {"id":52957547,"title":"Genome-wide association study identifies 74 loci associated with educational attainment","created_at":"2021-09-20T01:54:01.079-07:00","url":"https://www.academia.edu/52957547/Genome_wide_association_study_identifies_74_loci_associated_with_educational_attainment?f_ri=6114","dom_id":"work_52957547","summary":"Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environment...","downloadable_attachments":[{"id":69968780,"asset_id":52957547,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33559279,"first_name":"Peter","last_name":"van der Most","domain_name":"rug","page_name":"PVanDerMost","display_name":"Peter J van der Most","profile_url":"https://rug.academia.edu/PVanDerMost?f_ri=6114","photo":"https://0.academia-photos.com/33559279/10147323/11322938/s65_peter.van_der_most.jpg"}],"research_interests":[{"id":2674,"name":"Intelligence","url":"https://www.academia.edu/Documents/in/Intelligence?f_ri=6114","nofollow":false},{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia?f_ri=6114","nofollow":false},{"id":3230,"name":"Bipolar Disorder","url":"https://www.academia.edu/Documents/in/Bipolar_Disorder?f_ri=6114","nofollow":false},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=6114","nofollow":false},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":33319,"name":"Nature","url":"https://www.academia.edu/Documents/in/Nature?f_ri=6114"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=6114"},{"id":291274,"name":"Great Britain","url":"https://www.academia.edu/Documents/in/Great_Britain?f_ri=6114"},{"id":546421,"name":"Educational Status","url":"https://www.academia.edu/Documents/in/Educational_Status?f_ri=6114"},{"id":770944,"name":"Fetus","url":"https://www.academia.edu/Documents/in/Fetus?f_ri=6114"},{"id":1120234,"name":"Alzheimer Disease","url":"https://www.academia.edu/Documents/in/Alzheimer_Disease?f_ri=6114"},{"id":1763968,"name":"Gene Expression Regulation","url":"https://www.academia.edu/Documents/in/Gene_Expression_Regulation?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_51290809" data-work_id="51290809" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/51290809/Genetic_variants_associated_with_subjective_well_being_depressive_symptoms_and_neuroticism_identified_through_genome_wide_analyses">Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_51290809" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central n...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/51290809" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b852b13bfad23dccd660246e9bf5a6fa" rel="nofollow" data-download="{"attachment_id":69074650,"asset_id":51290809,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/69074650/download_file?st=MTczMjcwODkyNyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="35806304" href="https://oulu.academia.edu/RauliSvento">Rauli Svento</a><script data-card-contents-for-user="35806304" type="text/json">{"id":35806304,"first_name":"Rauli","last_name":"Svento","domain_name":"oulu","page_name":"RauliSvento","display_name":"Rauli Svento","profile_url":"https://oulu.academia.edu/RauliSvento?f_ri=6114","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_51290809 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51290809"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51290809, container: ".js-paper-rank-work_51290809", }); });</script></li><li class="js-percentile-work_51290809 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51290809; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_51290809"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_51290809 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="51290809"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51290809; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51290809]").text(description); $(".js-view-count-work_51290809").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_51290809").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="51290809"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">16</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="242" href="https://www.academia.edu/Documents/in/Personality_Psychology">Personality Psychology</a>, <script data-card-contents-for-ri="242" type="text/json">{"id":242,"name":"Personality Psychology","url":"https://www.academia.edu/Documents/in/Personality_Psychology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1087" href="https://www.academia.edu/Documents/in/Genetic_Epidemiology">Genetic Epidemiology</a>, <script data-card-contents-for-ri="1087" type="text/json">{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1314" href="https://www.academia.edu/Documents/in/Anxiety_Disorders">Anxiety Disorders</a><script data-card-contents-for-ri="1314" type="text/json">{"id":1314,"name":"Anxiety Disorders","url":"https://www.academia.edu/Documents/in/Anxiety_Disorders?f_ri=6114","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=51290809]'), work: {"id":51290809,"title":"Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses","created_at":"2021-09-05T05:15:54.846-07:00","url":"https://www.academia.edu/51290809/Genetic_variants_associated_with_subjective_well_being_depressive_symptoms_and_neuroticism_identified_through_genome_wide_analyses?f_ri=6114","dom_id":"work_51290809","summary":"Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central n...","downloadable_attachments":[{"id":69074650,"asset_id":51290809,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":35806304,"first_name":"Rauli","last_name":"Svento","domain_name":"oulu","page_name":"RauliSvento","display_name":"Rauli Svento","profile_url":"https://oulu.academia.edu/RauliSvento?f_ri=6114","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=6114","nofollow":false},{"id":242,"name":"Personality Psychology","url":"https://www.academia.edu/Documents/in/Personality_Psychology?f_ri=6114","nofollow":false},{"id":1087,"name":"Genetic Epidemiology","url":"https://www.academia.edu/Documents/in/Genetic_Epidemiology?f_ri=6114","nofollow":false},{"id":1314,"name":"Anxiety Disorders","url":"https://www.academia.edu/Documents/in/Anxiety_Disorders?f_ri=6114","nofollow":false},{"id":3217,"name":"Depression","url":"https://www.academia.edu/Documents/in/Depression?f_ri=6114"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics?f_ri=6114"},{"id":7590,"name":"Behavior Genetics","url":"https://www.academia.edu/Documents/in/Behavior_Genetics?f_ri=6114"},{"id":17564,"name":"Quantitative Genetics","url":"https://www.academia.edu/Documents/in/Quantitative_Genetics?f_ri=6114"},{"id":23471,"name":"Genome Wide Association Studies (GWAS)","url":"https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_?f_ri=6114"},{"id":30048,"name":"Individual Differences","url":"https://www.academia.edu/Documents/in/Individual_Differences?f_ri=6114"},{"id":36621,"name":"Happiness and Well Being","url":"https://www.academia.edu/Documents/in/Happiness_and_Well_Being?f_ri=6114"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=6114"},{"id":213897,"name":"Phenotype","url":"https://www.academia.edu/Documents/in/Phenotype?f_ri=6114"},{"id":430018,"name":"Subjective Well Being","url":"https://www.academia.edu/Documents/in/Subjective_Well_Being?f_ri=6114"},{"id":880279,"name":"Bayes Theorem","url":"https://www.academia.edu/Documents/in/Bayes_Theorem-1?f_ri=6114"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences?f_ri=6114"}]}, }) } })();</script></ul></li></ul></div></div></div><div class="u-taCenter Pagination"><ul class="pagination"><li class="next_page"><a href="/Documents/in/Statistical_Genetics?after=50%2C51290809" rel="next">Next</a></li><li class="last next"><a href="/Documents/in/Statistical_Genetics?page=last">Last »</a></li></ul></div></div><div class="hidden-xs hidden-sm"><div class="u-pl6x"><div style="width: 300px;"><div class="panel panel-flat u-mt7x"><div class="panel-heading u-p5x"><div class="u-tcGrayDark u-taCenter u-fw700 u-textUppercase">Related Topics</div></div><ul class="list-group"><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Evolutionary_genetics">Evolutionary genetics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="4481">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="4481">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Human_Microbiome">Human Microbiome</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="53948">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="53948">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Gene-environment_interactions">Gene-environment interactions</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="37849">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="37849">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Cancer_Genetics">Cancer Genetics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="52409">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="52409">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Quantitative_Genetics">Quantitative Genetics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="17564">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="17564">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Population_Genetics">Population Genetics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="4480">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="4480">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Genome_Wide_Association_Studies_GWAS_">Genome Wide Association Studies (GWAS)</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="23471">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="23471">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Computational_Statistics">Computational Statistics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="4388">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="4388">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Molecular_and_Genetic_Epidemiology">Molecular and Genetic Epidemiology</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="189816">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="189816">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" href="https://www.academia.edu/Documents/in/Animal_breeding_and_genetics">Animal breeding and genetics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="70103">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="70103">Following</a></div></li></ul></div></div></div></div></div></div><script>// MIT License // Copyright © 2011 Sebastian Tschan, https://blueimp.net // Permission is hereby granted, free of charge, to any person obtaining a copy of // this software and associated documentation files (the "Software"), to deal in // the Software without restriction, including without limitation the rights to // use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of // the Software, and to permit persons to whom the Software is furnished to do so, // subject to the following conditions: // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS // FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR // COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER // IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN // CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. !function(n){"use strict";function d(n,t){var r=(65535&n)+(65535&t);return(n>>16)+(t>>16)+(r>>16)<<16|65535&r}function f(n,t,r,e,o,u){return d((c=d(d(t,n),d(e,u)))<<(f=o)|c>>>32-f,r);var c,f}function l(n,t,r,e,o,u,c){return f(t&r|~t&e,n,t,o,u,c)}function v(n,t,r,e,o,u,c){return f(t&e|r&~e,n,t,o,u,c)}function g(n,t,r,e,o,u,c){return f(t^r^e,n,t,o,u,c)}function m(n,t,r,e,o,u,c){return f(r^(t|~e),n,t,o,u,c)}function i(n,t){var r,e,o,u;n[t>>5]|=128<<t%32,n[14+(t+64>>>9<<4)]=t;for(var c=1732584193,f=-271733879,i=-1732584194,a=271733878,h=0;h<n.length;h+=16)c=l(r=c,e=f,o=i,u=a,n[h],7,-680876936),a=l(a,c,f,i,n[h+1],12,-389564586),i=l(i,a,c,f,n[h+2],17,606105819),f=l(f,i,a,c,n[h+3],22,-1044525330),c=l(c,f,i,a,n[h+4],7,-176418897),a=l(a,c,f,i,n[h+5],12,1200080426),i=l(i,a,c,f,n[h+6],17,-1473231341),f=l(f,i,a,c,n[h+7],22,-45705983),c=l(c,f,i,a,n[h+8],7,1770035416),a=l(a,c,f,i,n[h+9],12,-1958414417),i=l(i,a,c,f,n[h+10],17,-42063),f=l(f,i,a,c,n[h+11],22,-1990404162),c=l(c,f,i,a,n[h+12],7,1804603682),a=l(a,c,f,i,n[h+13],12,-40341101),i=l(i,a,c,f,n[h+14],17,-1502002290),c=v(c,f=l(f,i,a,c,n[h+15],22,1236535329),i,a,n[h+1],5,-165796510),a=v(a,c,f,i,n[h+6],9,-1069501632),i=v(i,a,c,f,n[h+11],14,643717713),f=v(f,i,a,c,n[h],20,-373897302),c=v(c,f,i,a,n[h+5],5,-701558691),a=v(a,c,f,i,n[h+10],9,38016083),i=v(i,a,c,f,n[h+15],14,-660478335),f=v(f,i,a,c,n[h+4],20,-405537848),c=v(c,f,i,a,n[h+9],5,568446438),a=v(a,c,f,i,n[h+14],9,-1019803690),i=v(i,a,c,f,n[h+3],14,-187363961),f=v(f,i,a,c,n[h+8],20,1163531501),c=v(c,f,i,a,n[h+13],5,-1444681467),a=v(a,c,f,i,n[h+2],9,-51403784),i=v(i,a,c,f,n[h+7],14,1735328473),c=g(c,f=v(f,i,a,c,n[h+12],20,-1926607734),i,a,n[h+5],4,-378558),a=g(a,c,f,i,n[h+8],11,-2022574463),i=g(i,a,c,f,n[h+11],16,1839030562),f=g(f,i,a,c,n[h+14],23,-35309556),c=g(c,f,i,a,n[h+1],4,-1530992060),a=g(a,c,f,i,n[h+4],11,1272893353),i=g(i,a,c,f,n[h+7],16,-155497632),f=g(f,i,a,c,n[h+10],23,-1094730640),c=g(c,f,i,a,n[h+13],4,681279174),a=g(a,c,f,i,n[h],11,-358537222),i=g(i,a,c,f,n[h+3],16,-722521979),f=g(f,i,a,c,n[h+6],23,76029189),c=g(c,f,i,a,n[h+9],4,-640364487),a=g(a,c,f,i,n[h+12],11,-421815835),i=g(i,a,c,f,n[h+15],16,530742520),c=m(c,f=g(f,i,a,c,n[h+2],23,-995338651),i,a,n[h],6,-198630844),a=m(a,c,f,i,n[h+7],10,1126891415),i=m(i,a,c,f,n[h+14],15,-1416354905),f=m(f,i,a,c,n[h+5],21,-57434055),c=m(c,f,i,a,n[h+12],6,1700485571),a=m(a,c,f,i,n[h+3],10,-1894986606),i=m(i,a,c,f,n[h+10],15,-1051523),f=m(f,i,a,c,n[h+1],21,-2054922799),c=m(c,f,i,a,n[h+8],6,1873313359),a=m(a,c,f,i,n[h+15],10,-30611744),i=m(i,a,c,f,n[h+6],15,-1560198380),f=m(f,i,a,c,n[h+13],21,1309151649),c=m(c,f,i,a,n[h+4],6,-145523070),a=m(a,c,f,i,n[h+11],10,-1120210379),i=m(i,a,c,f,n[h+2],15,718787259),f=m(f,i,a,c,n[h+9],21,-343485551),c=d(c,r),f=d(f,e),i=d(i,o),a=d(a,u);return[c,f,i,a]}function a(n){for(var t="",r=32*n.length,e=0;e<r;e+=8)t+=String.fromCharCode(n[e>>5]>>>e%32&255);return t}function h(n){var t=[];for(t[(n.length>>2)-1]=void 0,e=0;e<t.length;e+=1)t[e]=0;for(var r=8*n.length,e=0;e<r;e+=8)t[e>>5]|=(255&n.charCodeAt(e/8))<<e%32;return t}function e(n){for(var t,r="0123456789abcdef",e="",o=0;o<n.length;o+=1)t=n.charCodeAt(o),e+=r.charAt(t>>>4&15)+r.charAt(15&t);return e}function r(n){return unescape(encodeURIComponent(n))}function o(n){return a(i(h(t=r(n)),8*t.length));var t}function u(n,t){return function(n,t){var r,e,o=h(n),u=[],c=[];for(u[15]=c[15]=void 0,16<o.length&&(o=i(o,8*n.length)),r=0;r<16;r+=1)u[r]=909522486^o[r],c[r]=1549556828^o[r];return e=i(u.concat(h(t)),512+8*t.length),a(i(c.concat(e),640))}(r(n),r(t))}function t(n,t,r){return t?r?u(t,n):e(u(t,n)):r?o(n):e(o(n))}"function"==typeof define&&define.amd?define(function(){return t}):"object"==typeof module&&module.exports?module.exports=t:n.md5=t}(this);</script><script>window.AbTest = (function() { return { 'ab_test': (uniqueId, test_name, buckets) => { let override = new URLSearchParams(window.location.search).get(`ab_test[${test_name}]`); if ( override ) { return override; } const bucketNames = buckets.map((bucket) => { return typeof bucket === 'string' ? bucket : Object.keys(bucket)[0]; }); const weights = buckets.map((bucket) => { return typeof bucket === 'string' ? 1 : Object.values(bucket)[0]; }); const total = weights.reduce((sum, weight) => sum + weight); const hash = md5(`${uniqueId}${test_name}`); const hashNum = parseInt(hash.slice(-12), 16); let bucketPoint = total * (hashNum % 100000) / 100000; const bucket = bucketNames.find((_, i) => { if (weights[i] > bucketPoint) { return true; } bucketPoint -= weights[i]; return false; }); return bucket; } }; })();</script><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-landing_url="https://www.academia.edu/Documents/in/Statistical_Genetics" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><script>function onGoogleOneTapEvent(event) { var momentType = event.getMomentType(); var momentReason = null; if (event.isNotDisplayed()) { momentReason = event.getNotDisplayedReason(); } else if (event.isSkippedMoment()) { momentReason = event.getSkippedReason(); } else if (event.isDismissedMoment()) { momentReason = event.getDismissedReason(); } Aedu.arbitraryEvents.write('GoogleOneTapEvent', { moment_type: momentType, moment_reason: momentReason, }); }</script><script>(function() { var auvid = unescape( document.cookie .split(/; ?/) .find((s) => s.startsWith('auvid')) .substring(6)); var bucket = AbTest.ab_test(auvid, 'lo_ri_one_tap_google_sign_on', ['control', 'one_tap_google_sign_on']); if (bucket === 'control') return; var oneTapTag = document.createElement('script') oneTapTag.async = true oneTapTag.defer = true oneTapTag.src = 'https://accounts.google.com/gsi/client' document.body.appendChild(oneTapTag) })();</script></div></div></div> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "d4f154740935a625414887a2b4b915b6ed21bfe17af00f23d7790a1e692355e6", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="po7jbHnZp+CX4Ty6ZvuB7HtQ6eZJR1dYpdVtO8f9UkCyByK6Yhzc8Bspr//dgLSMv0Si4QTb7P6iUEewE8795w==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://www.academia.edu/Documents/in/Statistical_Genetics" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="fj0RkipnIiR4zFPnM7Hgv6wruaaBCd1uUSrLY1ratFBqtNBEMaJZNPQEwKKIytXfaD/yocyVZshWr+Hojukb9w==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>