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class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Richard Bryant" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/31403809/89489018/78203791/s200_richard.bryant.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Richard Bryant</h1><div class="affiliations-container fake-truncate js-profile-affiliations"></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Richard" data-follow-user-id="31403809" 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data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">4</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Expert in posttraumatic stress disorder (PTSD)<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31403809" href="https://www.academia.edu/Documents/in/Prenatal_and_Perinatal_Psychology"><div id="js-react-on-rails-context" style="display:none" 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class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Richard Bryant</h3></div><div class="js-work-strip profile--work_container" data-work-id="124454639"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454639/Valid_ICD_11_PGD_Scales_and_Structured_Clinical_Interviews_Needed"><img alt="Research paper thumbnail of Valid ICD-11 PGD Scales and Structured Clinical Interviews Needed" class="work-thumbnail" src="https://attachments.academia-assets.com/118676566/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454639/Valid_ICD_11_PGD_Scales_and_Structured_Clinical_Interviews_Needed">Valid ICD-11 PGD Scales and Structured Clinical Interviews Needed</a></div><div class="wp-workCard_item"><span>Frontiers in Psychology</span><span>, May 28, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5f37895f9b84e5228068ff51865bae32" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676566,"asset_id":124454639,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676566/download_file?st=MTczMjQ0MDExMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454638"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454638/A_Longitudinal_Investigation_of_Moral_Injury_Appraisals_Amongst_Treatment_Seeking_Refugees"><img alt="Research paper thumbnail of A Longitudinal Investigation of Moral Injury Appraisals Amongst Treatment-Seeking Refugees" class="work-thumbnail" src="https://attachments.academia-assets.com/118676562/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454638/A_Longitudinal_Investigation_of_Moral_Injury_Appraisals_Amongst_Treatment_Seeking_Refugees">A Longitudinal Investigation of Moral Injury Appraisals Amongst Treatment-Seeking Refugees</a></div><div class="wp-workCard_item"><span>Frontiers in Psychiatry</span><span>, Dec 18, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7e00de98be4d005ae89b76eea46a5e78" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676562,"asset_id":124454638,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676562/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454638"><a class="js-profile-work-strip-edit-button" 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paper thumbnail of Feasibility randomised controlled trial of the Early Adolescent Skills for Emotions psychological intervention with young adolescents in Lebanon" class="work-thumbnail" src="https://attachments.academia-assets.com/118676556/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454632/Feasibility_randomised_controlled_trial_of_the_Early_Adolescent_Skills_for_Emotions_psychological_intervention_with_young_adolescents_in_Lebanon">Feasibility randomised controlled trial of the Early Adolescent Skills for Emotions psychological intervention with young adolescents in Lebanon</a></div><div class="wp-workCard_item"><span>BMC Psychiatry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Globally, there is a vast mental health treatment gap, whereby the majority of adolesc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Globally, there is a vast mental health treatment gap, whereby the majority of adolescents living in low- and middle-income countries requiring mental health services, do not have access to adequate care. To improve access, the World Health Organization (WHO) developed a range of interventions, designed to be low-cost and delivered by non-specialists. We conducted a two-arm, individually randomised group treatment feasibility trial of a new WHO group intervention for young adolescents with emotional distress (‘Early Adolescent Skills for Emotions’; EASE) in Lebanon. Method The aim of this study was to determine the feasibility of the intervention and study procedures. Adolescents aged 10 to 14 years were eligible to take part if they scored above a validated cut-off on the Child Psychosocial Distress Screener. Participants were randomized to EASE or enhanced treatment as usual (ETAU) control using a 1:1 ratio. 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EASE consisted of seven group sessions with adolescents and th...","publisher":"Springer Science and Business Media LLC","publication_name":"BMC Psychiatry"},"translated_abstract":"Background Globally, there is a vast mental health treatment gap, whereby the majority of adolescents living in low- and middle-income countries requiring mental health services, do not have access to adequate care. To improve access, the World Health Organization (WHO) developed a range of interventions, designed to be low-cost and delivered by non-specialists. We conducted a two-arm, individually randomised group treatment feasibility trial of a new WHO group intervention for young adolescents with emotional distress (‘Early Adolescent Skills for Emotions’; EASE) in Lebanon. Method The aim of this study was to determine the feasibility of the intervention and study procedures. 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EASE consisted of seven group sessions with adolescents and th...","internal_url":"https://www.academia.edu/124454632/Feasibility_randomised_controlled_trial_of_the_Early_Adolescent_Skills_for_Emotions_psychological_intervention_with_young_adolescents_in_Lebanon","translated_internal_url":"","created_at":"2024-10-05T14:53:03.379-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31403809,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118676556,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676556/thumbnails/1.jpg","file_name":"s12888-023-04571-9.pdf","download_url":"https://www.academia.edu/attachments/118676556/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Feasibility_randomised_controlled_trial.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676556/s12888-023-04571-9-libre.pdf?1728166265=\u0026response-content-disposition=attachment%3B+filename%3DFeasibility_randomised_controlled_trial.pdf\u0026Expires=1732443712\u0026Signature=AheZtXgzRknO5rhhSAYIXfqo1tRcAhiXWAIA8ArjlV~KuQmL-vPNBvJ568rsMvfdzjfuwExBqFTGh3exZh1b5bBdFCVfA~ia4dZ2~7dZieMJibCRDsEB98oJz-K7KTHzY2xojfxJw9T5iRSsiUFJUju2uFmxDDy2Ftsg5QSHo~NZW~FsOwiYkjdhBrBqnEGm~hMUT6e616-7lFrpcN751zanc0vH66VIiIRXYK~UTGadwPRJJOS2o2~N9zmkIyWOhQW3os~Nj3fFt86aUVahrb6-5wJftaH~lNBnoSomNGcGaVm8ZTAeCeO0~59trB~ccLpOsaOOp1t3M7dFvgbueA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Feasibility_randomised_controlled_trial_of_the_Early_Adolescent_Skills_for_Emotions_psychological_intervention_with_young_adolescents_in_Lebanon","translated_slug":"","page_count":18,"language":"en","content_type":"Work","owner":{"id":31403809,"first_name":"Richard","middle_initials":null,"last_name":"Bryant","page_name":"RichardBryant6","domain_name":"independent","created_at":"2015-05-21T22:44:24.002-07:00","display_name":"Richard Bryant","url":"https://independent.academia.edu/RichardBryant6"},"attachments":[{"id":118676556,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676556/thumbnails/1.jpg","file_name":"s12888-023-04571-9.pdf","download_url":"https://www.academia.edu/attachments/118676556/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Feasibility_randomised_controlled_trial.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676556/s12888-023-04571-9-libre.pdf?1728166265=\u0026response-content-disposition=attachment%3B+filename%3DFeasibility_randomised_controlled_trial.pdf\u0026Expires=1732443712\u0026Signature=AheZtXgzRknO5rhhSAYIXfqo1tRcAhiXWAIA8ArjlV~KuQmL-vPNBvJ568rsMvfdzjfuwExBqFTGh3exZh1b5bBdFCVfA~ia4dZ2~7dZieMJibCRDsEB98oJz-K7KTHzY2xojfxJw9T5iRSsiUFJUju2uFmxDDy2Ftsg5QSHo~NZW~FsOwiYkjdhBrBqnEGm~hMUT6e616-7lFrpcN751zanc0vH66VIiIRXYK~UTGadwPRJJOS2o2~N9zmkIyWOhQW3os~Nj3fFt86aUVahrb6-5wJftaH~lNBnoSomNGcGaVm8ZTAeCeO0~59trB~ccLpOsaOOp1t3M7dFvgbueA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2827,"name":"Mental Health","url":"https://www.academia.edu/Documents/in/Mental_Health"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":103781,"name":"Psychoeducation","url":"https://www.academia.edu/Documents/in/Psychoeducation"},{"id":116278,"name":"Psychological Intervention","url":"https://www.academia.edu/Documents/in/Psychological_Intervention"},{"id":144043,"name":"Psychosocial","url":"https://www.academia.edu/Documents/in/Psychosocial"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":413196,"name":"Randomized Controlled Trial","url":"https://www.academia.edu/Documents/in/Randomized_Controlled_Trial"}],"urls":[{"id":44996032,"url":"https://link.springer.com/content/pdf/10.1186/s12888-023-04571-9.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454631"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD"><img alt="Research paper thumbnail of A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD" class="work-thumbnail" src="https://attachments.academia-assets.com/118676581/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD">A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f71ff344fdd72aaf7602b4cb77d224d2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676581,"asset_id":124454631,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454631"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454631"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454631; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454631]").text(description); $(".js-view-count[data-work-id=124454631]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454631; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454631']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454631, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f71ff344fdd72aaf7602b4cb77d224d2" } } $('.js-work-strip[data-work-id=124454631]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454631,"title":"A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD","translated_title":"","metadata":{"abstract":"A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...","publisher":"Research Square Platform LLC"},"translated_abstract":"A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...","internal_url":"https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD","translated_internal_url":"","created_at":"2024-10-05T14:53:03.098-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31403809,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118676581,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676581/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mega_analysis_of_vertex_and_gyral_cort.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676581/latest-libre.pdf?1728166295=\u0026response-content-disposition=attachment%3B+filename%3DA_mega_analysis_of_vertex_and_gyral_cort.pdf\u0026Expires=1732443712\u0026Signature=Ruo4pjDUsszh09GiuNULt6dX4pNb6vKPH06vClPwJH0QoBhW9rOZFhgpMuiNXGvv2G9JGd6jDnxRNn2poWCwB4eTq7Ye9tHfdgdPYf8-XHqa1xMV-wOXMGWlQJ3XXRc9Afu0bU5SB2mmbZjB6qexYAbUsY~tOY4WuiZevDHEKQGKvOBQUpg-2nZlMTrTgiyi0voHQ71GirgKsYMKGPKX1DALHlZFqej84Gr9uMkkMcY6Yu~5NoUCV-MlR2CMXzAEYorFjfZOEt30-Hx9sKT6EKSuOAIeViYD9JNZ9lqTNiLqsIfbS7IiclfRjsTVHgRJH4So0urvm-uP2tkhqoQ-eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD","translated_slug":"","page_count":30,"language":"en","content_type":"Work","owner":{"id":31403809,"first_name":"Richard","middle_initials":null,"last_name":"Bryant","page_name":"RichardBryant6","domain_name":"independent","created_at":"2015-05-21T22:44:24.002-07:00","display_name":"Richard Bryant","url":"https://independent.academia.edu/RichardBryant6"},"attachments":[{"id":118676581,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676581/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mega_analysis_of_vertex_and_gyral_cort.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676581/latest-libre.pdf?1728166295=\u0026response-content-disposition=attachment%3B+filename%3DA_mega_analysis_of_vertex_and_gyral_cort.pdf\u0026Expires=1732443712\u0026Signature=Ruo4pjDUsszh09GiuNULt6dX4pNb6vKPH06vClPwJH0QoBhW9rOZFhgpMuiNXGvv2G9JGd6jDnxRNn2poWCwB4eTq7Ye9tHfdgdPYf8-XHqa1xMV-wOXMGWlQJ3XXRc9Afu0bU5SB2mmbZjB6qexYAbUsY~tOY4WuiZevDHEKQGKvOBQUpg-2nZlMTrTgiyi0voHQ71GirgKsYMKGPKX1DALHlZFqej84Gr9uMkkMcY6Yu~5NoUCV-MlR2CMXzAEYorFjfZOEt30-Hx9sKT6EKSuOAIeViYD9JNZ9lqTNiLqsIfbS7IiclfRjsTVHgRJH4So0urvm-uP2tkhqoQ-eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":181597,"name":"Root-Mean Square Error","url":"https://www.academia.edu/Documents/in/Root-Mean_Square_Error"},{"id":4151399,"name":"Root mean square error","url":"https://www.academia.edu/Documents/in/Root_mean_square_error"}],"urls":[{"id":44996031,"url":"https://www.researchsquare.com/article/rs-2085479/v1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454630"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454630/Rare_copy_number_variation_in_posttraumatic_stress_disorder"><img alt="Research paper thumbnail of Rare copy number variation in posttraumatic stress disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/118676555/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454630/Rare_copy_number_variation_in_posttraumatic_stress_disorder">Rare copy number variation in posttraumatic stress disorder</a></div><div class="wp-workCard_item"><span>Molecular Psychiatry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy numbe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. Th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5d8fd08e95a70c384e9181ce1ffe0a85" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676555,"asset_id":124454630,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676555/download_file?st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454630"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454630"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454630; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454630]").text(description); $(".js-view-count[data-work-id=124454630]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454630; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454630']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454630, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5d8fd08e95a70c384e9181ce1ffe0a85" } } $('.js-work-strip[data-work-id=124454630]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454630,"title":"Rare copy number variation in posttraumatic stress disorder","translated_title":"","metadata":{"abstract":"Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. Th...","publisher":"Springer Science and Business Media LLC","publication_name":"Molecular Psychiatry"},"translated_abstract":"Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454628"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454628/Trauma_and_posttraumatic_stress_disorder_modulate_polygenic_predictors_of_hippocampal_and_amygdala_volume"><img alt="Research paper thumbnail of Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume" class="work-thumbnail" src="https://attachments.academia-assets.com/118676553/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454628/Trauma_and_posttraumatic_stress_disorder_modulate_polygenic_predictors_of_hippocampal_and_amygdala_volume">Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume</a></div><div class="wp-workCard_item"><span>Translational Psychiatry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The volume of subcortical structures represents a reliable, quantitative, and objective phenotype...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). Trauma and PTSD represent potent exposures that may interact with genetic markers to influence brain structure and function. Genetic variants, associated with subcortical volumes in two large normative discovery samples, were used to compute polygenic scores (PGS) for the volume of seven subcortical structures. These were applied to a target sample enriched for childhood trauma and PTSD. Subcortical volume PGS from the discovery sample were strongly associated in our trauma/PTSD enriched sample (n = 7580) with respective subcortical volumes of the hippocampus (p = 1.10 × 10−20), thalamus (p = 7.46 × 10−10), caudate (p = 1.97 × 10−18), putamen (p = 1.7 × 10−12), and nucleus accumbens (p = 1.99 × 10−7). We found a significant association between the hippoc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fb2d120b6409adc164abb0cfe01d4649" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676553,"asset_id":124454628,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676553/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454628"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454628"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454628; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454628]").text(description); $(".js-view-count[data-work-id=124454628]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454628; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454628']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454628, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fb2d120b6409adc164abb0cfe01d4649" } } $('.js-work-strip[data-work-id=124454628]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454628,"title":"Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume","translated_title":"","metadata":{"abstract":"The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). 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We found a significant association between the hippoc...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Translational Psychiatry"},"translated_abstract":"The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). Trauma and PTSD represent potent exposures that may interact with genetic markers to influence brain structure and function. Genetic variants, associated with subcortical volumes in two large normative discovery samples, were used to compute polygenic scores (PGS) for the volume of seven subcortical structures. These were applied to a target sample enriched for childhood trauma and PTSD. Subcortical volume PGS from the discovery sample were strongly associated in our trauma/PTSD enriched sample (n = 7580) with respective subcortical volumes of the hippocampus (p = 1.10 × 10−20), thalamus (p = 7.46 × 10−10), caudate (p = 1.97 × 10−18), putamen (p = 1.7 × 10−12), and nucleus accumbens (p = 1.99 × 10−7). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454627"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454627/Sustained_negative_mental_health_outcomes_among_healthcare_workers_over_the_first_year_of_the_COVID_19_pandemic_a_prospective_cohort_study"><img alt="Research paper thumbnail of Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study" class="work-thumbnail" src="https://attachments.academia-assets.com/118676579/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454627/Sustained_negative_mental_health_outcomes_among_healthcare_workers_over_the_first_year_of_the_COVID_19_pandemic_a_prospective_cohort_study">Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-yea...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-year period following the initial COVID-19 pandemic outbreak and to examine baseline characteristics associated with resolution or persistence of mental health problems over time.MethodsWe conducted an 8-month follow-up cohort study. Eligible participants were healthcare workers working in Spain. Baseline data were collected during the initial pandemic outbreak. Survey-based self-reported measures included COVID-19-related exposures, sociodemographic characteristics, and three mental health outcomes (psychological distress, depression symptoms, and posttraumatic stress disorder symptoms). We examined three longitudinal trajectories in mental health outcomes between baseline and follow-up assessments (namely asymptomatic/stable, recovering, and persistently symptomatic/worsening).ResultsWe recruited 1,807 participants. Between baseline and follow-up assessments, the proportion of respondents...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e990c4e20e5e93088f1a7a6daabfd971" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676579,"asset_id":124454627,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676579/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454627"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454627"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454627; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454627]").text(description); $(".js-view-count[data-work-id=124454627]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454627; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454627']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454627, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e990c4e20e5e93088f1a7a6daabfd971" } } $('.js-work-strip[data-work-id=124454627]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454627,"title":"Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study","translated_title":"","metadata":{"abstract":"ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-year period following the initial COVID-19 pandemic outbreak and to examine baseline characteristics associated with resolution or persistence of mental health problems over time.MethodsWe conducted an 8-month follow-up cohort study. 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Between baseline and follow-up assessments, the proportion of respondents...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-year period following the initial COVID-19 pandemic outbreak and to examine baseline characteristics associated with resolution or persistence of mental health problems over time.MethodsWe conducted an 8-month follow-up cohort study. Eligible participants were healthcare workers working in Spain. Baseline data were collected during the initial pandemic outbreak. Survey-based self-reported measures included COVID-19-related exposures, sociodemographic characteristics, and three mental health outcomes (psychological distress, depression symptoms, and posttraumatic stress disorder symptoms). We examined three longitudinal trajectories in mental health outcomes between baseline and follow-up assessments (namely asymptomatic/stable, recovering, and persistently symptomatic/worsening).ResultsWe recruited 1,807 participants. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454626"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454626/Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC"><img alt="Research paper thumbnail of Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC" class="work-thumbnail" src="https://attachments.academia-assets.com/118676551/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454626/Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC">Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC</a></div><div class="wp-workCard_item"><span>Conflict and Health</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Major knowledge gaps remain concerning the most effective ways to address mental health and psych...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Major knowledge gaps remain concerning the most effective ways to address mental health and psychosocial needs of populations affected by humanitarian crises. The Research for Health in Humanitarian Crisis (R2HC) program aims to strengthen humanitarian health practice and policy through research. As a significant portion of R2HC’s research has focused on mental health and psychosocial support interventions, the program has been interested in strengthening a community of practice in this field. Following a meeting between grantees, we set out to provide an overview of the R2HC portfolio, and draw lessons learned. In this paper, we discuss the mental health and psychosocial support-focused research projects funded by R2HC; review the implications of initial findings from this research portfolio; and highlight four remaining knowledge gaps in this field. Between 2014 and 2019, R2HC funded 18 academic-practitioner partnerships focused on mental health and psychosocial support, comprisin...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="42d914f52f66231e53e065943363e333" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676551,"asset_id":124454626,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676551/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454626"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454626"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454626; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454626]").text(description); $(".js-view-count[data-work-id=124454626]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454626; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454626']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454626, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "42d914f52f66231e53e065943363e333" } } $('.js-work-strip[data-work-id=124454626]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454626,"title":"Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC","translated_title":"","metadata":{"abstract":"Major knowledge gaps remain concerning the most effective ways to address mental health and psychosocial needs of populations affected by humanitarian crises. The Research for Health in Humanitarian Crisis (R2HC) program aims to strengthen humanitarian health practice and policy through research. As a significant portion of R2HC’s research has focused on mental health and psychosocial support interventions, the program has been interested in strengthening a community of practice in this field. Following a meeting between grantees, we set out to provide an overview of the R2HC portfolio, and draw lessons learned. In this paper, we discuss the mental health and psychosocial support-focused research projects funded by R2HC; review the implications of initial findings from this research portfolio; and highlight four remaining knowledge gaps in this field. Between 2014 and 2019, R2HC funded 18 academic-practitioner partnerships focused on mental health and psychosocial support, comprisin...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Conflict and Health"},"translated_abstract":"Major knowledge gaps remain concerning the most effective ways to address mental health and psychosocial needs of populations affected by humanitarian crises. The Research for Health in Humanitarian Crisis (R2HC) program aims to strengthen humanitarian health practice and policy through research. As a significant portion of R2HC’s research has focused on mental health and psychosocial support interventions, the program has been interested in strengthening a community of practice in this field. Following a meeting between grantees, we set out to provide an overview of the R2HC portfolio, and draw lessons learned. In this paper, we discuss the mental health and psychosocial support-focused research projects funded by R2HC; review the implications of initial findings from this research portfolio; and highlight four remaining knowledge gaps in this field. Between 2014 and 2019, R2HC funded 18 academic-practitioner partnerships focused on mental health and psychosocial support, comprisin...","internal_url":"https://www.academia.edu/124454626/Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC","translated_internal_url":"","created_at":"2024-10-05T14:53:01.372-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31403809,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118676551,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676551/thumbnails/1.jpg","file_name":"s13031-020-00317-6.pdf","download_url":"https://www.academia.edu/attachments/118676551/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Improving_mental_health_and_psychosocial.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676551/s13031-020-00317-6-libre.pdf?1728166259=\u0026response-content-disposition=attachment%3B+filename%3DImproving_mental_health_and_psychosocial.pdf\u0026Expires=1732413546\u0026Signature=CEdTNsSQLH6ibCmuy5ScE96FQI2ilrHHBlKwLR5oFZK0q3hWTcfhAkWo8Ym8ag7lnOP5tHkcm3iUqfiXXeO5zDpysW4hKWHV9DB6OZsDLLbQeNswsBh3Rpn5IHA1GzhW5W04Cmcr0COjW9ld~2-GYUmqvIyMNXxeMKmpxoWU-ZccUS95DG3wkMrnQiiRHBr5DApoSyuuvpLdFhkyggRLTyCanterOBiwbv9aNjORya10RjOMePZjOvb-VRHRiTN57rwggqQGD~ZuSRiGeFvhgU6flUqW4ej94WxjiFCBtrt973LEJ2rtEXoov0Mwvwzp0fzxWZ~PDkNmy8Pkt9zZdw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":31403809,"first_name":"Richard","middle_initials":null,"last_name":"Bryant","page_name":"RichardBryant6","domain_name":"independent","created_at":"2015-05-21T22:44:24.002-07:00","display_name":"Richard 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Health","url":"https://www.academia.edu/Documents/in/Mental_Health"},{"id":9817,"name":"Humanitarian Intervention","url":"https://www.academia.edu/Documents/in/Humanitarian_Intervention"},{"id":16635,"name":"Health Services Research","url":"https://www.academia.edu/Documents/in/Health_Services_Research"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":116278,"name":"Psychological Intervention","url":"https://www.academia.edu/Documents/in/Psychological_Intervention"},{"id":144043,"name":"Psychosocial","url":"https://www.academia.edu/Documents/in/Psychosocial"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":512418,"name":"Conflict and Health","url":"https://www.academia.edu/Documents/in/Conflict_and_Health"}],"urls":[{"id":44996026,"url":"http://link.springer.com/content/pdf/10.1186/s13031-020-00317-6.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454624"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454624/Evaluating_a_screener_to_quantify_PTSD_risk_using_emergency_care_information_a_proof_of_concept_study"><img alt="Research paper thumbnail of Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study" class="work-thumbnail" src="https://attachments.academia-assets.com/118676550/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454624/Evaluating_a_screener_to_quantify_PTSD_risk_using_emergency_care_information_a_proof_of_concept_study">Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study</a></div><div class="wp-workCard_item"><span>BMC Emergency Medicine</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. Methods We used individual participant data (IPD) from five ac...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a9ba20b5ce934f85d163c0b39702843a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676550,"asset_id":124454624,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676550/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454624"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454624"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454624; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454624]").text(description); $(".js-view-count[data-work-id=124454624]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454624; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454624']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454624, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a9ba20b5ce934f85d163c0b39702843a" } } $('.js-work-strip[data-work-id=124454624]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454624,"title":"Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study","translated_title":"","metadata":{"abstract":"Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. Methods We used individual participant data (IPD) from five ac...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"BMC Emergency Medicine"},"translated_abstract":"Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454623"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454623/Molecular_genetic_overlap_between_posttraumatic_stress_disorder_and_sleep_phenotypes"><img alt="Research paper thumbnail of Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes" class="work-thumbnail" src="https://attachments.academia-assets.com/118676582/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454623/Molecular_genetic_overlap_between_posttraumatic_stress_disorder_and_sleep_phenotypes">Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes</a></div><div class="wp-workCard_item"><span>Sleep</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. While both sleep phenotypes and PTSD are moderately heritable, there has been a paucity of investigation into potential genetic overlap between sleep and PTSD. Here, we estimate genetic correlations between multiple sleep phenotypes (including insomnia symptoms, sleep duration, daytime sleepiness, and chronotype) and PTSD, using results from the largest genome-wide association study (GWAS) to date of PTSD, as well as publicly available GWAS results for sleep phenotypes within UK Biobank data (23 variations, encompassing four main phenotypes).MethodsGenetic correlations were estimated utilizing linkage disequilibrium score regression (LDSC), an approach that uses GWAS summary statistics to compute genetic correlations across traits, and Mendelian randomization (MR) analyses were conducted...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eff8de27f3aeaa7c271cb968bc9f8004" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676582,"asset_id":124454623,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676582/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454623"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454623"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454623; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454623]").text(description); $(".js-view-count[data-work-id=124454623]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454623; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454623']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454623, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "eff8de27f3aeaa7c271cb968bc9f8004" } } $('.js-work-strip[data-work-id=124454623]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454623,"title":"Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes","translated_title":"","metadata":{"abstract":"Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454621"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454621/International_meta_analysis_of_PTSD_genome_wide_association_studies_identifies_sex_and_ancestry_specific_genetic_risk_loci"><img alt="Research paper thumbnail of International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci" class="work-thumbnail" src="https://attachments.academia-assets.com/118676547/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454621/International_meta_analysis_of_PTSD_genome_wide_association_studies_identifies_sex_and_ancestry_specific_genetic_risk_loci">International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci</a></div><div class="wp-workCard_item"><span>Nature Communications</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5–20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson’s disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and exp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b173a2491eaa96be0bd1259899d09ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676547,"asset_id":124454621,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676547/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454621"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454621"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454621; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454621]").text(description); $(".js-view-count[data-work-id=124454621]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454621; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454621']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454621, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4b173a2491eaa96be0bd1259899d09ee" } } $('.js-work-strip[data-work-id=124454621]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454621,"title":"International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci","translated_title":"","metadata":{"abstract":"The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. 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src="https://attachments.academia-assets.com/118676576/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454620/Hippocampal_subfield_volumes_are_uniquely_affected_in_PTSD_and_depression_International_analysis_of_31_cohorts_from_the_PGC_ENIGMA_PTSD_Working_Group">Hippocampal subfield volumes are uniquely affected in PTSD and depression: International analysis of 31 cohorts from the PGC-ENIGMA PTSD Working Group</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal volumes compared to healthy and trauma-exposed controls. However, the hippocampus is heterogeneous, with subregions that may be uniquely affected in individuals with PTSD and depression.MethodsWe used random effects regressions and a harmonized neuroimaging protocol based on FreeSurfer (v6.0) to identify sub-structural hippocampal markers of current PTSD (C-PTSD), depression, and the interaction of these conditions across 31 cohorts worldwide (N=3,115;Mage=38.9±13.9 years). Secondary analyses tested these associations by sex and after modeling the simultaneous effects of remitted PTSD, childhood trauma, mild traumatic brain injury, and alcohol use disorder.ResultsA significant negative main effect of depression (n=800, vs. no depression, n=1456) was observed in the hippocampal tail (ß=−0.13) and CA1 (ß=−0.09) after adjusting for covariates and multiple testing (adjusted p’s (q)=0.028). ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac4ad786f51d28c58edcb306699fad01" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676576,"asset_id":124454620,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676576/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454620"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454620"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454620; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454620]").text(description); $(".js-view-count[data-work-id=124454620]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454620; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454620']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454620, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac4ad786f51d28c58edcb306699fad01" } } $('.js-work-strip[data-work-id=124454620]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454620,"title":"Hippocampal subfield volumes are uniquely affected in PTSD and depression: International analysis of 31 cohorts from the PGC-ENIGMA PTSD Working Group","translated_title":"","metadata":{"abstract":"BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal volumes compared to healthy and trauma-exposed controls. 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src="https://attachments.academia-assets.com/118676573/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454618/Genomic_Influences_on_Self_Reported_Childhood_Maltreatment">Genomic Influences on Self-Reported Childhood Maltreatment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical di...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to 1) identify genetic variation associated with reported childhood maltreatment, 2) calculate the relevant SNP-based heritability estimates, and 3) quantify the genetic overlap of reported childhood maltreatment with mental and physical health-related phenotypes. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n=124,000) and a replication sample from the Psychiatric Genomics Consortium–posttraumatic stress disorder working group (PGC-PTSD) (n=26,290). Heritability estimations for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression (LDSR). Two genome-w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f3a1f20d5c4a75b522b4b71da52dfc89" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676573,"asset_id":124454618,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676573/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454618"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454618"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454618; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454618]").text(description); $(".js-view-count[data-work-id=124454618]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454618; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454618']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454618, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f3a1f20d5c4a75b522b4b71da52dfc89" } } $('.js-work-strip[data-work-id=124454618]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454618,"title":"Genomic Influences on Self-Reported Childhood Maltreatment","translated_title":"","metadata":{"abstract":"Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to 1) identify genetic variation associated with reported childhood maltreatment, 2) calculate the relevant SNP-based heritability estimates, and 3) quantify the genetic overlap of reported childhood maltreatment with mental and physical health-related phenotypes. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n=124,000) and a replication sample from the Psychiatric Genomics Consortium–posttraumatic stress disorder working group (PGC-PTSD) (n=26,290). Heritability estimations for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression (LDSR). 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paper thumbnail of Feasibility randomised controlled trial of the Early Adolescent Skills for Emotions psychological intervention with young adolescents in Lebanon" class="work-thumbnail" src="https://attachments.academia-assets.com/118676556/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454632/Feasibility_randomised_controlled_trial_of_the_Early_Adolescent_Skills_for_Emotions_psychological_intervention_with_young_adolescents_in_Lebanon">Feasibility randomised controlled trial of the Early Adolescent Skills for Emotions psychological intervention with young adolescents in Lebanon</a></div><div class="wp-workCard_item"><span>BMC Psychiatry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Globally, there is a vast mental health treatment gap, whereby the majority of adolesc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Globally, there is a vast mental health treatment gap, whereby the majority of adolescents living in low- and middle-income countries requiring mental health services, do not have access to adequate care. To improve access, the World Health Organization (WHO) developed a range of interventions, designed to be low-cost and delivered by non-specialists. We conducted a two-arm, individually randomised group treatment feasibility trial of a new WHO group intervention for young adolescents with emotional distress (‘Early Adolescent Skills for Emotions’; EASE) in Lebanon. Method The aim of this study was to determine the feasibility of the intervention and study procedures. Adolescents aged 10 to 14 years were eligible to take part if they scored above a validated cut-off on the Child Psychosocial Distress Screener. Participants were randomized to EASE or enhanced treatment as usual (ETAU) control using a 1:1 ratio. EASE consisted of seven group sessions with adolescents and th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5fa20d9ceb1f2093c324bc3e652e1598" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676556,"asset_id":124454632,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676556/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454632"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454632"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454632; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454632]").text(description); $(".js-view-count[data-work-id=124454632]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454632; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454632']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454632, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5fa20d9ceb1f2093c324bc3e652e1598" } } $('.js-work-strip[data-work-id=124454632]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454632,"title":"Feasibility randomised controlled trial of the Early Adolescent Skills for Emotions psychological intervention with young adolescents in Lebanon","translated_title":"","metadata":{"abstract":"Background Globally, there is a vast mental health treatment gap, whereby the majority of adolescents living in low- and middle-income countries requiring mental health services, do not have access to adequate care. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454631"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD"><img alt="Research paper thumbnail of A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD" class="work-thumbnail" src="https://attachments.academia-assets.com/118676581/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD">A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f71ff344fdd72aaf7602b4cb77d224d2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676581,"asset_id":124454631,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454631"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454631"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454631; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454631]").text(description); $(".js-view-count[data-work-id=124454631]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454631; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454631']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454631, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f71ff344fdd72aaf7602b4cb77d224d2" } } $('.js-work-strip[data-work-id=124454631]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454631,"title":"A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD","translated_title":"","metadata":{"abstract":"A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...","publisher":"Research Square Platform LLC"},"translated_abstract":"A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated...","internal_url":"https://www.academia.edu/124454631/A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD","translated_internal_url":"","created_at":"2024-10-05T14:53:03.098-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31403809,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118676581,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676581/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mega_analysis_of_vertex_and_gyral_cort.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676581/latest-libre.pdf?1728166295=\u0026response-content-disposition=attachment%3B+filename%3DA_mega_analysis_of_vertex_and_gyral_cort.pdf\u0026Expires=1732443712\u0026Signature=Ruo4pjDUsszh09GiuNULt6dX4pNb6vKPH06vClPwJH0QoBhW9rOZFhgpMuiNXGvv2G9JGd6jDnxRNn2poWCwB4eTq7Ye9tHfdgdPYf8-XHqa1xMV-wOXMGWlQJ3XXRc9Afu0bU5SB2mmbZjB6qexYAbUsY~tOY4WuiZevDHEKQGKvOBQUpg-2nZlMTrTgiyi0voHQ71GirgKsYMKGPKX1DALHlZFqej84Gr9uMkkMcY6Yu~5NoUCV-MlR2CMXzAEYorFjfZOEt30-Hx9sKT6EKSuOAIeViYD9JNZ9lqTNiLqsIfbS7IiclfRjsTVHgRJH4So0urvm-uP2tkhqoQ-eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_mega_analysis_of_vertex_and_gyral_cortical_thickness_differences_in_adults_with_and_without_PTSD","translated_slug":"","page_count":30,"language":"en","content_type":"Work","owner":{"id":31403809,"first_name":"Richard","middle_initials":null,"last_name":"Bryant","page_name":"RichardBryant6","domain_name":"independent","created_at":"2015-05-21T22:44:24.002-07:00","display_name":"Richard Bryant","url":"https://independent.academia.edu/RichardBryant6"},"attachments":[{"id":118676581,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676581/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/118676581/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_mega_analysis_of_vertex_and_gyral_cort.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676581/latest-libre.pdf?1728166295=\u0026response-content-disposition=attachment%3B+filename%3DA_mega_analysis_of_vertex_and_gyral_cort.pdf\u0026Expires=1732443712\u0026Signature=Ruo4pjDUsszh09GiuNULt6dX4pNb6vKPH06vClPwJH0QoBhW9rOZFhgpMuiNXGvv2G9JGd6jDnxRNn2poWCwB4eTq7Ye9tHfdgdPYf8-XHqa1xMV-wOXMGWlQJ3XXRc9Afu0bU5SB2mmbZjB6qexYAbUsY~tOY4WuiZevDHEKQGKvOBQUpg-2nZlMTrTgiyi0voHQ71GirgKsYMKGPKX1DALHlZFqej84Gr9uMkkMcY6Yu~5NoUCV-MlR2CMXzAEYorFjfZOEt30-Hx9sKT6EKSuOAIeViYD9JNZ9lqTNiLqsIfbS7IiclfRjsTVHgRJH4So0urvm-uP2tkhqoQ-eQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":181597,"name":"Root-Mean Square Error","url":"https://www.academia.edu/Documents/in/Root-Mean_Square_Error"},{"id":4151399,"name":"Root mean square error","url":"https://www.academia.edu/Documents/in/Root_mean_square_error"}],"urls":[{"id":44996031,"url":"https://www.researchsquare.com/article/rs-2085479/v1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454630"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454630/Rare_copy_number_variation_in_posttraumatic_stress_disorder"><img alt="Research paper thumbnail of Rare copy number variation in posttraumatic stress disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/118676555/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454630/Rare_copy_number_variation_in_posttraumatic_stress_disorder">Rare copy number variation in posttraumatic stress disorder</a></div><div class="wp-workCard_item"><span>Molecular Psychiatry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy numbe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. Th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5d8fd08e95a70c384e9181ce1ffe0a85" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676555,"asset_id":124454630,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676555/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454630"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454630"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454630; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454630]").text(description); $(".js-view-count[data-work-id=124454630]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454630; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454630']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454630, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5d8fd08e95a70c384e9181ce1ffe0a85" } } $('.js-work-strip[data-work-id=124454630]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454630,"title":"Rare copy number variation in posttraumatic stress disorder","translated_title":"","metadata":{"abstract":"Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. Th...","publisher":"Springer Science and Business Media LLC","publication_name":"Molecular Psychiatry"},"translated_abstract":"Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. Th...","internal_url":"https://www.academia.edu/124454630/Rare_copy_number_variation_in_posttraumatic_stress_disorder","translated_internal_url":"","created_at":"2024-10-05T14:53:02.734-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31403809,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118676555,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676555/thumbnails/1.jpg","file_name":"s41380-022-01776-4.pdf","download_url":"https://www.academia.edu/attachments/118676555/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rare_copy_number_variation_in_posttrauma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676555/s41380-022-01776-4-libre.pdf?1728166260=\u0026response-content-disposition=attachment%3B+filename%3DRare_copy_number_variation_in_posttrauma.pdf\u0026Expires=1732413546\u0026Signature=LrMGP3snJuVOOfl5o~36IRtLbND08KtT~K-RzH15D8kUWrRavsTDEqnZprGzzO8YjK2R9Y5Z4UpOu9~rOUuiiSJ4cLEoqtUwqAgy0U0BSovlYFLYrRgy5d5IlrJQQlUgVRMYCLfKblPYYzsdQpHKmAxFoks8y0QSVpvzHxN3ChfnG9wxHQJTJTwQ0bXfSK01pzAqaBHXozihTDS6NMkKGV24SfJdE8rPTbIkGSEDGSWUiSJX4p5BIvNVNLkaPtPbHAz2ko9oWzW2DffwmvM-W~RhIbHSCSVR5KnIbcn-1uzfdbQp83Jo14Qbpnjp8BTk23w83WXm2D6kdZ~kZg0IEg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Rare_copy_number_variation_in_posttraumatic_stress_disorder","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":31403809,"first_name":"Richard","middle_initials":null,"last_name":"Bryant","page_name":"RichardBryant6","domain_name":"independent","created_at":"2015-05-21T22:44:24.002-07:00","display_name":"Richard Bryant","url":"https://independent.academia.edu/RichardBryant6"},"attachments":[{"id":118676555,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118676555/thumbnails/1.jpg","file_name":"s41380-022-01776-4.pdf","download_url":"https://www.academia.edu/attachments/118676555/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Rare_copy_number_variation_in_posttrauma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118676555/s41380-022-01776-4-libre.pdf?1728166260=\u0026response-content-disposition=attachment%3B+filename%3DRare_copy_number_variation_in_posttrauma.pdf\u0026Expires=1732413546\u0026Signature=LrMGP3snJuVOOfl5o~36IRtLbND08KtT~K-RzH15D8kUWrRavsTDEqnZprGzzO8YjK2R9Y5Z4UpOu9~rOUuiiSJ4cLEoqtUwqAgy0U0BSovlYFLYrRgy5d5IlrJQQlUgVRMYCLfKblPYYzsdQpHKmAxFoks8y0QSVpvzHxN3ChfnG9wxHQJTJTwQ0bXfSK01pzAqaBHXozihTDS6NMkKGV24SfJdE8rPTbIkGSEDGSWUiSJX4p5BIvNVNLkaPtPbHAz2ko9oWzW2DffwmvM-W~RhIbHSCSVR5KnIbcn-1uzfdbQp83Jo14Qbpnjp8BTk23w83WXm2D6kdZ~kZg0IEg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":32358,"name":"Molecular Psychiatry","url":"https://www.academia.edu/Documents/in/Molecular_Psychiatry"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":322326,"name":"Copy Number Variation","url":"https://www.academia.edu/Documents/in/Copy_Number_Variation"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":44996030,"url":"https://www.nature.com/articles/s41380-022-01776-4.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454629"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454629/Remodeling_of_the_Cortical_Structural_Connectome_in_Posttraumatic_Stress_Disorder_Results_From_the_ENIGMA_PGC_Posttraumatic_Stress_Disorder_Consortium"><img alt="Research paper thumbnail of Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium" class="work-thumbnail" src="https://attachments.academia-assets.com/118676580/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454629/Remodeling_of_the_Cortical_Structural_Connectome_in_Posttraumatic_Stress_Disorder_Results_From_the_ENIGMA_PGC_Posttraumatic_Stress_Disorder_Consortium">Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium</a></div><div class="wp-workCard_item"><span>Biological Psychiatry: Cognitive Neuroscience and Neuroimaging</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="26c2e5e4a4a3984e6953f8d50cb9e8fb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676580,"asset_id":124454629,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676580/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454629"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454629"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454629; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454628"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454628/Trauma_and_posttraumatic_stress_disorder_modulate_polygenic_predictors_of_hippocampal_and_amygdala_volume"><img alt="Research paper thumbnail of Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume" class="work-thumbnail" src="https://attachments.academia-assets.com/118676553/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454628/Trauma_and_posttraumatic_stress_disorder_modulate_polygenic_predictors_of_hippocampal_and_amygdala_volume">Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume</a></div><div class="wp-workCard_item"><span>Translational Psychiatry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The volume of subcortical structures represents a reliable, quantitative, and objective phenotype...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). Trauma and PTSD represent potent exposures that may interact with genetic markers to influence brain structure and function. Genetic variants, associated with subcortical volumes in two large normative discovery samples, were used to compute polygenic scores (PGS) for the volume of seven subcortical structures. These were applied to a target sample enriched for childhood trauma and PTSD. Subcortical volume PGS from the discovery sample were strongly associated in our trauma/PTSD enriched sample (n = 7580) with respective subcortical volumes of the hippocampus (p = 1.10 × 10−20), thalamus (p = 7.46 × 10−10), caudate (p = 1.97 × 10−18), putamen (p = 1.7 × 10−12), and nucleus accumbens (p = 1.99 × 10−7). We found a significant association between the hippoc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fb2d120b6409adc164abb0cfe01d4649" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676553,"asset_id":124454628,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676553/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454628"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454628"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454628; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454628]").text(description); $(".js-view-count[data-work-id=124454628]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454628; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454628']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454628, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fb2d120b6409adc164abb0cfe01d4649" } } $('.js-work-strip[data-work-id=124454628]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454628,"title":"Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume","translated_title":"","metadata":{"abstract":"The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454627"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454627/Sustained_negative_mental_health_outcomes_among_healthcare_workers_over_the_first_year_of_the_COVID_19_pandemic_a_prospective_cohort_study"><img alt="Research paper thumbnail of Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study" class="work-thumbnail" src="https://attachments.academia-assets.com/118676579/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454627/Sustained_negative_mental_health_outcomes_among_healthcare_workers_over_the_first_year_of_the_COVID_19_pandemic_a_prospective_cohort_study">Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-yea...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-year period following the initial COVID-19 pandemic outbreak and to examine baseline characteristics associated with resolution or persistence of mental health problems over time.MethodsWe conducted an 8-month follow-up cohort study. Eligible participants were healthcare workers working in Spain. Baseline data were collected during the initial pandemic outbreak. Survey-based self-reported measures included COVID-19-related exposures, sociodemographic characteristics, and three mental health outcomes (psychological distress, depression symptoms, and posttraumatic stress disorder symptoms). We examined three longitudinal trajectories in mental health outcomes between baseline and follow-up assessments (namely asymptomatic/stable, recovering, and persistently symptomatic/worsening).ResultsWe recruited 1,807 participants. Between baseline and follow-up assessments, the proportion of respondents...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e990c4e20e5e93088f1a7a6daabfd971" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676579,"asset_id":124454627,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676579/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454627"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454627"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454627; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454627]").text(description); $(".js-view-count[data-work-id=124454627]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454627; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454627']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454627, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e990c4e20e5e93088f1a7a6daabfd971" } } $('.js-work-strip[data-work-id=124454627]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454627,"title":"Sustained negative mental health outcomes among healthcare workers over the first year of the COVID-19 pandemic: a prospective cohort study","translated_title":"","metadata":{"abstract":"ObjectiveTo characterize the evolution of healthcare workers’ mental health status over the 1-year period following the initial COVID-19 pandemic outbreak and to examine baseline characteristics associated with resolution or persistence of mental health problems over time.MethodsWe conducted an 8-month follow-up cohort study. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454626"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454626/Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC"><img alt="Research paper thumbnail of Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC" class="work-thumbnail" src="https://attachments.academia-assets.com/118676551/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454626/Improving_mental_health_and_psychosocial_wellbeing_in_humanitarian_settings_reflections_on_research_funded_through_R2HC">Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC</a></div><div class="wp-workCard_item"><span>Conflict and Health</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Major knowledge gaps remain concerning the most effective ways to address mental health and psych...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Major knowledge gaps remain concerning the most effective ways to address mental health and psychosocial needs of populations affected by humanitarian crises. The Research for Health in Humanitarian Crisis (R2HC) program aims to strengthen humanitarian health practice and policy through research. As a significant portion of R2HC’s research has focused on mental health and psychosocial support interventions, the program has been interested in strengthening a community of practice in this field. Following a meeting between grantees, we set out to provide an overview of the R2HC portfolio, and draw lessons learned. In this paper, we discuss the mental health and psychosocial support-focused research projects funded by R2HC; review the implications of initial findings from this research portfolio; and highlight four remaining knowledge gaps in this field. Between 2014 and 2019, R2HC funded 18 academic-practitioner partnerships focused on mental health and psychosocial support, comprisin...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="42d914f52f66231e53e065943363e333" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676551,"asset_id":124454626,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676551/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454626"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454626"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454626; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454626]").text(description); $(".js-view-count[data-work-id=124454626]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454626; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454626']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454626, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "42d914f52f66231e53e065943363e333" } } $('.js-work-strip[data-work-id=124454626]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454626,"title":"Improving mental health and psychosocial wellbeing in humanitarian settings: reflections on research funded through R2HC","translated_title":"","metadata":{"abstract":"Major knowledge gaps remain concerning the most effective ways to address mental health and psychosocial needs of populations affected by humanitarian crises. 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dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454624"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454624/Evaluating_a_screener_to_quantify_PTSD_risk_using_emergency_care_information_a_proof_of_concept_study"><img alt="Research paper thumbnail of Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study" class="work-thumbnail" src="https://attachments.academia-assets.com/118676550/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454624/Evaluating_a_screener_to_quantify_PTSD_risk_using_emergency_care_information_a_proof_of_concept_study">Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study</a></div><div class="wp-workCard_item"><span>BMC Emergency Medicine</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. Methods We used individual participant data (IPD) from five ac...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a9ba20b5ce934f85d163c0b39702843a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676550,"asset_id":124454624,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676550/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454624"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454624"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454624; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454624]").text(description); $(".js-view-count[data-work-id=124454624]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454624; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454624']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454624, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a9ba20b5ce934f85d163c0b39702843a" } } $('.js-work-strip[data-work-id=124454624]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454624,"title":"Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study","translated_title":"","metadata":{"abstract":"Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454623"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454623/Molecular_genetic_overlap_between_posttraumatic_stress_disorder_and_sleep_phenotypes"><img alt="Research paper thumbnail of Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes" class="work-thumbnail" src="https://attachments.academia-assets.com/118676582/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454623/Molecular_genetic_overlap_between_posttraumatic_stress_disorder_and_sleep_phenotypes">Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes</a></div><div class="wp-workCard_item"><span>Sleep</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. While both sleep phenotypes and PTSD are moderately heritable, there has been a paucity of investigation into potential genetic overlap between sleep and PTSD. Here, we estimate genetic correlations between multiple sleep phenotypes (including insomnia symptoms, sleep duration, daytime sleepiness, and chronotype) and PTSD, using results from the largest genome-wide association study (GWAS) to date of PTSD, as well as publicly available GWAS results for sleep phenotypes within UK Biobank data (23 variations, encompassing four main phenotypes).MethodsGenetic correlations were estimated utilizing linkage disequilibrium score regression (LDSC), an approach that uses GWAS summary statistics to compute genetic correlations across traits, and Mendelian randomization (MR) analyses were conducted...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eff8de27f3aeaa7c271cb968bc9f8004" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676582,"asset_id":124454623,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676582/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454623"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454623"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454623; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454623]").text(description); $(".js-view-count[data-work-id=124454623]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454623; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454623']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454623, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "eff8de27f3aeaa7c271cb968bc9f8004" } } $('.js-work-strip[data-work-id=124454623]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454623,"title":"Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes","translated_title":"","metadata":{"abstract":"Study ObjectivesSleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124454621"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124454621/International_meta_analysis_of_PTSD_genome_wide_association_studies_identifies_sex_and_ancestry_specific_genetic_risk_loci"><img alt="Research paper thumbnail of International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci" class="work-thumbnail" src="https://attachments.academia-assets.com/118676547/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454621/International_meta_analysis_of_PTSD_genome_wide_association_studies_identifies_sex_and_ancestry_specific_genetic_risk_loci">International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci</a></div><div class="wp-workCard_item"><span>Nature Communications</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5–20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson’s disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and exp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b173a2491eaa96be0bd1259899d09ee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676547,"asset_id":124454621,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676547/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454621"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454621"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454621; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454621]").text(description); $(".js-view-count[data-work-id=124454621]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454621; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454621']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454621, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4b173a2491eaa96be0bd1259899d09ee" } } $('.js-work-strip[data-work-id=124454621]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454621,"title":"International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci","translated_title":"","metadata":{"abstract":"The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. 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src="https://attachments.academia-assets.com/118676576/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454620/Hippocampal_subfield_volumes_are_uniquely_affected_in_PTSD_and_depression_International_analysis_of_31_cohorts_from_the_PGC_ENIGMA_PTSD_Working_Group">Hippocampal subfield volumes are uniquely affected in PTSD and depression: International analysis of 31 cohorts from the PGC-ENIGMA PTSD Working Group</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal volumes compared to healthy and trauma-exposed controls. However, the hippocampus is heterogeneous, with subregions that may be uniquely affected in individuals with PTSD and depression.MethodsWe used random effects regressions and a harmonized neuroimaging protocol based on FreeSurfer (v6.0) to identify sub-structural hippocampal markers of current PTSD (C-PTSD), depression, and the interaction of these conditions across 31 cohorts worldwide (N=3,115;Mage=38.9±13.9 years). Secondary analyses tested these associations by sex and after modeling the simultaneous effects of remitted PTSD, childhood trauma, mild traumatic brain injury, and alcohol use disorder.ResultsA significant negative main effect of depression (n=800, vs. no depression, n=1456) was observed in the hippocampal tail (ß=−0.13) and CA1 (ß=−0.09) after adjusting for covariates and multiple testing (adjusted p’s (q)=0.028). ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac4ad786f51d28c58edcb306699fad01" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676576,"asset_id":124454620,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676576/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454620"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454620"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454620; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454620]").text(description); $(".js-view-count[data-work-id=124454620]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454620; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454620']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454620, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac4ad786f51d28c58edcb306699fad01" } } $('.js-work-strip[data-work-id=124454620]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454620,"title":"Hippocampal subfield volumes are uniquely affected in PTSD and depression: International analysis of 31 cohorts from the PGC-ENIGMA PTSD Working Group","translated_title":"","metadata":{"abstract":"BackgroundPTSD and depression commonly co-occur and have been associated with smaller hippocampal volumes compared to healthy and trauma-exposed controls. 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src="https://attachments.academia-assets.com/118676573/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124454618/Genomic_Influences_on_Self_Reported_Childhood_Maltreatment">Genomic Influences on Self-Reported Childhood Maltreatment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical di...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to 1) identify genetic variation associated with reported childhood maltreatment, 2) calculate the relevant SNP-based heritability estimates, and 3) quantify the genetic overlap of reported childhood maltreatment with mental and physical health-related phenotypes. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n=124,000) and a replication sample from the Psychiatric Genomics Consortium–posttraumatic stress disorder working group (PGC-PTSD) (n=26,290). Heritability estimations for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression (LDSR). Two genome-w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f3a1f20d5c4a75b522b4b71da52dfc89" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118676573,"asset_id":124454618,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118676573/download_file?st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&st=MTczMjQ0MDExMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124454618"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124454618"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124454618; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124454618]").text(description); $(".js-view-count[data-work-id=124454618]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124454618; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124454618']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124454618, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f3a1f20d5c4a75b522b4b71da52dfc89" } } $('.js-work-strip[data-work-id=124454618]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124454618,"title":"Genomic Influences on Self-Reported Childhood Maltreatment","translated_title":"","metadata":{"abstract":"Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. 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