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Guido Barbujani | Università degli Studi di Ferrara - Academia.edu

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id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Guido Barbujani</h3></div><div class="js-work-strip profile--work_container" data-work-id="122844400"><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/122844400/Electronic_Supplementary_Information_from_Genome_diversity_in_the_Neolithic_Globular_Amphorae_culture_and_the_spread_of_Indo_European_languages"><img alt="Research paper thumbnail of Electronic Supplementary Information from Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages" class="work-thumbnail" src="https://attachments.academia-assets.com/117422123/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a 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src="https://attachments.academia-assets.com/117422122/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/122844399/A_Revised_Model_of_Anatomically_Modern_Human_Expansions_Out_of_Africa_through_a_Machine_Learning_Approximate_Bayesian_Computation_Approach">A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach</a></div><div class="wp-workCard_item"><span>Genes</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (...</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">There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open question whether AMH left Africa through a single process, dispersing almost simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Australo-Melanesia, and later through a northern route crossing the Levant. The development of new methodologies for inferring population history and the availability of worldwide high-coverage whole-genome sequences did not resolve this debate. In this work, we test the two main out-of-Africa hypotheses through an Approximate Bayesian Computation approach, based on the Random-Forest algorithm. We evaluated the ability of the method to discriminate between the alternative models of AMH out-of-Africa, using simulated data. Once assessed that the models a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="796fc4db6335fc4d9e58f3d019ee694d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422122,&quot;asset_id&quot;:122844399,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422122/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844399"><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="122844399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844399; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844399]").text(description); $(".js-view-count[data-work-id=122844399]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844399; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844399']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844399, 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: "796fc4db6335fc4d9e58f3d019ee694d" } } $('.js-work-strip[data-work-id=122844399]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844399,"title":"A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach","translated_title":"","metadata":{"abstract":"There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. 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Once assessed that the models a...","publisher":"MDPI AG","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Genes"},"translated_abstract":"There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open question whether AMH left Africa through a single process, dispersing almost simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Australo-Melanesia, and later through a northern route crossing the Levant. The development of new methodologies for inferring population history and the availability of worldwide high-coverage whole-genome sequences did not resolve this debate. In this work, we test the two main out-of-Africa hypotheses through an Approximate Bayesian Computation approach, based on the Random-Forest algorithm. We evaluated the ability of the method to discriminate between the alternative models of AMH out-of-Africa, using simulated data. Once assessed that the models a...","internal_url":"https://www.academia.edu/122844399/A_Revised_Model_of_Anatomically_Modern_Human_Expansions_Out_of_Africa_through_a_Machine_Learning_Approximate_Bayesian_Computation_Approach","translated_internal_url":"","created_at":"2024-08-13T09:36:04.946-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6661654,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":117422122,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117422122/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117422122/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Revised_Model_of_Anatomically_Modern_H.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117422122/pdf-libre.pdf?1723567834=\u0026response-content-disposition=attachment%3B+filename%3DA_Revised_Model_of_Anatomically_Modern_H.pdf\u0026Expires=1732450784\u0026Signature=PTSEfIqGmUYTL~vlFLxTz7DwtlCtuuR2xWP~TceN3TrAR6JwW3gVK50DRmW3IzM2oa7~xB5LD~yDQq6dL2pxqIyMrZVqWTULXAbbMPIuCRuvr33nWPiWINBZFPiMvzccSQEFJkC5s8hRD1QkzPEfmbbMX9xm9CRi6Z6AooS3mE9C1-W4ZKXLlBpiLzgVUvnsKzPF-Y8f7CQN~rU~~QMxkfGIRTBlGMK~nhNRqNcxLchL3e6REj7lmyQXFv4ON-3IHcUXCWXnhEB3yYq1ONZasasxizZqjt8ebwSaOhoKVPMEFjWxPwyxQIoEImOwwS7eQ3AtKdm1DyvMsTj8BQ9BjQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Revised_Model_of_Anatomically_Modern_Human_Expansions_Out_of_Africa_through_a_Machine_Learning_Approximate_Bayesian_Computation_Approach","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":6661654,"first_name":"Guido","middle_initials":null,"last_name":"Barbujani","page_name":"GuidoBarbujani","domain_name":"ferrara","created_at":"2013-11-06T19:25:40.370-08:00","display_name":"Guido Barbujani","url":"https://ferrara.academia.edu/GuidoBarbujani"},"attachments":[{"id":117422122,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117422122/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117422122/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Revised_Model_of_Anatomically_Modern_H.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117422122/pdf-libre.pdf?1723567834=\u0026response-content-disposition=attachment%3B+filename%3DA_Revised_Model_of_Anatomically_Modern_H.pdf\u0026Expires=1732450784\u0026Signature=PTSEfIqGmUYTL~vlFLxTz7DwtlCtuuR2xWP~TceN3TrAR6JwW3gVK50DRmW3IzM2oa7~xB5LD~yDQq6dL2pxqIyMrZVqWTULXAbbMPIuCRuvr33nWPiWINBZFPiMvzccSQEFJkC5s8hRD1QkzPEfmbbMX9xm9CRi6Z6AooS3mE9C1-W4ZKXLlBpiLzgVUvnsKzPF-Y8f7CQN~rU~~QMxkfGIRTBlGMK~nhNRqNcxLchL3e6REj7lmyQXFv4ON-3IHcUXCWXnhEB3yYq1ONZasasxizZqjt8ebwSaOhoKVPMEFjWxPwyxQIoEImOwwS7eQ3AtKdm1DyvMsTj8BQ9BjQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":117422121,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/117422121/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/117422121/download_file","bulk_download_file_name":"A_Revised_Model_of_Anatomically_Modern_H.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/117422121/pdf-libre.pdf?1723567834=\u0026response-content-disposition=attachment%3B+filename%3DA_Revised_Model_of_Anatomically_Modern_H.pdf\u0026Expires=1732450785\u0026Signature=dzWfZWyvsRd7OqeCSg7OFxGmL71kJLkU~V2tpSgljiEJW4rxmJNbMfMhdtZ5tOV50-Hg7NOdAUDX0UGdyxOqUEXCFI4WrKuFGW3LKDYocLhUsbjHG8nosHc3Pus~VlA8i90j~C6xj4SnoSaxD2IJr7~fvv5gx8OpZXa0NoHKLi~hyo6Wv88sm2NU48UtIAqS0Xflk4gc2UYOFfwbNLqHyA2mZcg0FJKAmKiyxCgQsTwC6ZbXGPtwq-7YyY6B5JunYfMI0uCdFAulNKayjFsox3UgUuhOZlqUZb8PF6m876Rib-6-9yNvd2acZertf3PpMYV30t5ITK0xBNTGXXnyvA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":64336,"name":"Population","url":"https://www.academia.edu/Documents/in/Population"},{"id":72069,"name":"Approximate Bayesian Computation","url":"https://www.academia.edu/Documents/in/Approximate_Bayesian_Computation"},{"id":233229,"name":"Genes","url":"https://www.academia.edu/Documents/in/Genes"},{"id":1032783,"name":"Bayesian Probability","url":"https://www.academia.edu/Documents/in/Bayesian_Probability"},{"id":3372233,"name":"peninsula","url":"https://www.academia.edu/Documents/in/peninsula"}],"urls":[{"id":43987401,"url":"https://www.mdpi.com/2073-4425/11/12/1510/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="122844398"><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/122844398/The_origin_and_legacy_of_the_Etruscans_through_a_2000_year_archeogenomic_time_transect"><img alt="Research paper thumbnail of The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect" class="work-thumbnail" src="https://attachments.academia-assets.com/117422150/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/122844398/The_origin_and_legacy_of_the_Etruscans_through_a_2000_year_archeogenomic_time_transect">The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect</a></div><div class="wp-workCard_item"><span>Science Advances</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Steppe ancestry among the non–Indo-European–speaking Etruscans challenges previous hypotheses on ...</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">Steppe ancestry among the non–Indo-European–speaking Etruscans challenges previous hypotheses on their recent Anatolian origin.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="51b5e92d78e8b2d281863bc667002ea0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422150,&quot;asset_id&quot;:122844398,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422150/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844398"><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="122844398"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844398; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844398]").text(description); $(".js-view-count[data-work-id=122844398]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844398; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844398']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844398, 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); 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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="122844397"><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/122844397/A_western_route_of_prehistoric_human_migration_from_Africa_into_the_Iberian_Peninsula"><img alt="Research paper thumbnail of A western route of prehistoric human migration from Africa into the Iberian Peninsula" class="work-thumbnail" src="https://attachments.academia-assets.com/117422120/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/122844397/A_western_route_of_prehistoric_human_migration_from_Africa_into_the_Iberian_Peninsula">A western route of prehistoric human migration from Africa into the Iberian Peninsula</a></div><div class="wp-workCard_item"><span>Proceedings of the Royal Society B: Biological Sciences</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of ...</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">Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of Neolithization. A few studies, all based on modern populations, reported the presence of DNA of likely African origin in this region, generally concluding it was the result of recent gene flow, probably during the Islamic period. Here, we provide evidence of much older gene flow from Africa to Iberia by sequencing whole genomes from four human remains from northern Portugal and southern Spain dated around 4000 years BP (from the Middle Neolithic to the Bronze Age). We found one of them to carry an unequivocal sub-Saharan mitogenome of most probably West or West-Central African origin, to our knowledge never reported before in prehistoric remains outside Africa. Our analyses of ancient nuclear genomes show small but significant levels of sub-Saharan African affinity in several ancient Iberian samples, which indicates that what we detected was not an occasional individual phenomenon, but a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7fd7cc3ff4046820d742e26b0f398cb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422120,&quot;asset_id&quot;:122844397,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422120/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844397"><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="122844397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844397; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844397]").text(description); $(".js-view-count[data-work-id=122844397]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844397; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844397']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844397, 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: "7fd7cc3ff4046820d742e26b0f398cb1" } } $('.js-work-strip[data-work-id=122844397]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844397,"title":"A western route of prehistoric human migration from Africa into the Iberian Peninsula","translated_title":"","metadata":{"abstract":"Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of Neolithization. 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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/122844396/A_genetic_perspective_on_Longobard_Era_migrations"><img alt="Research paper thumbnail of A genetic perspective on Longobard-Era migrations" class="work-thumbnail" src="https://attachments.academia-assets.com/117422118/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/122844396/A_genetic_perspective_on_Longobard_Era_migrations">A genetic perspective on Longobard-Era migrations</a></div><div class="wp-workCard_item"><span>European Journal of Human Genetics</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a 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true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122844395"><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/122844395/Genome_diversity_in_the_Neolithic_Globular_Amphorae_culture_and_the_spread_of_Indo_European_languages"><img alt="Research paper thumbnail of Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages" class="work-thumbnail" src="https://attachments.academia-assets.com/117422148/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/122844395/Genome_diversity_in_the_Neolithic_Globular_Amphorae_culture_and_the_spread_of_Indo_European_languages">Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages</a></div><div class="wp-workCard_item"><span>Proceedings. Biological sciences</span><span>, Jan 29, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the lat...</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">It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the late Neolithic, or from Anatolia in the Early Neolithic. Under the former hypothesis, people of the Globular Amphorae culture (GAC) would be descended from Eastern ancestors, likely representing the Yamnaya culture. However, nuclear (six individuals typed for 597 573 SNPs) and mitochondrial (11 complete sequences) DNA from the GAC appear closer to those of earlier Neolithic groups than to the DNA of all other populations related to the Pontic steppe migration. Explicit comparisons of alternative demographic models via approximate Bayesian computation confirmed this pattern. These results are not in contrast to Late Neolithic gene flow from the Pontic steppes into Central Europe. However, they add nuance to this model, showing that the eastern affinities of the GAC in the archaeological record reflect cultural influences from other groups from the East, rather than the movement of people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cce29fd53de904edb4f6a08df5362b9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422148,&quot;asset_id&quot;:122844395,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422148/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844395"><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="122844395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844395; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844395]").text(description); $(".js-view-count[data-work-id=122844395]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844395; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844395']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844395, 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: "7cce29fd53de904edb4f6a08df5362b9" } } $('.js-work-strip[data-work-id=122844395]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844395,"title":"Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages","translated_title":"","metadata":{"abstract":"It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the late Neolithic, or from Anatolia in the Early Neolithic. 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href="https://www.academia.edu/122844393/Early_modern_human_dispersal_from_Africa_genomic_evidence_for_multiple_waves_of_migration"><img alt="Research paper thumbnail of Early modern human dispersal from Africa: genomic evidence for multiple waves of migration" class="work-thumbnail" src="https://attachments.academia-assets.com/117422149/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/122844393/Early_modern_human_dispersal_from_Africa_genomic_evidence_for_multiple_waves_of_migration">Early modern human dispersal from Africa: genomic evidence for multiple waves of migration</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background. Anthropological and genetic data agree in indicating the African continent as the mai...</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. Anthropological and genetic data agree in indicating the African continent as the main place of origin for modern human. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab peninsula into Southern Asia and Oceania, and later through a Northern route crossing the Levant. Results. Here we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa, and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of hybridization with archaic human forms in Australo-Melanesia. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes. Conclusions. We conclude tha...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0821a2a44a41d27a1e17e7d180f91318" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422149,&quot;asset_id&quot;:122844393,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422149/download_file?st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844393"><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="122844393"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844393; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844393]").text(description); $(".js-view-count[data-work-id=122844393]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844393; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844393']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844393, 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: "0821a2a44a41d27a1e17e7d180f91318" } } $('.js-work-strip[data-work-id=122844393]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844393,"title":"Early modern human dispersal from Africa: genomic evidence for multiple waves of migration","translated_title":"","metadata":{"abstract":"Background. 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122844390/Human_Populations_Origins_and_Evolution">Human Populations: Origins and Evolution</a></div><div class="wp-workCard_item"><span>eLS</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The origins of modern human diversity have long been debated within a framework set by two hypoth...</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 origins of modern human diversity have long been debated within a framework set by two hypotheses: ‘Out-of-Africa’ versus multiregional evolution. Humans are genetically closer to each other than members of all other primate species, most of our genetic diversity is accounted for by individual differences within populations, and only a small fraction of the species&amp;#39; genetic variance represents differences among populations or geographic groups. All these findings are hard to reconcile with the notion of parallel evolution in different continents, implicit in the multiregional model; the alternative hypotheses are now better described as either complete replacement of archaic human populations, or as partial assimilation into anatomically modern populations. Critical information about human demographic history has emerged from analyses of genomic diversity, clearly supporting an African origin of our species, followed by dispersal of rather small groups of people in the other continents. However, ancient deoxyribonucleic acid from fossil specimens seems to suggest low, but significant, levels of hybridisation between anatomically archaic and modern humans in the course of the latter&amp;#39;s expansion from Africa, although alternative explanations of the data cannot be ruled out. Key Concepts: Genetic differences between humans are smaller than in any other primate species. Genetic differences between human populations account for a minor fraction of the species&amp;#39; diversity. Most human polymorphic alleles are present in all continents. Each population contains an ample subset of human allelic variants. African populations show the highest genome diversity worldwide, and alleles in other continents can largely be regarded as subsets of African diversity. Differences between populations are structured in the geographical space, showing evidence of repeated founder effects as humans expanded to colonise the whole planet. Models of genetic replacement, partial or total, of archaic human forms by anatomically modern humans account for current diversity better than any alternative models. Non-African people consistently show an excess of DNA similarity with the Neandertal genome, which is often (but not necessarily) interpreted as a consequence of archaic hybridisation between Neandertals and anatomically modern people dispersing from Africa. Keywords: genomic diversity; DNA diversity; out-of-Africa; multiregional evolution; coalescence; neandertal; admixture</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844390"><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="122844390"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844390; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844390]").text(description); $(".js-view-count[data-work-id=122844390]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844390; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844390']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844390, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844390]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844390,"title":"Human Populations: Origins and Evolution","translated_title":"","metadata":{"abstract":"The origins of modern human diversity have long been debated within a framework set by two hypotheses: ‘Out-of-Africa’ versus multiregional evolution. Humans are genetically closer to each other than members of all other primate species, most of our genetic diversity is accounted for by individual differences within populations, and only a small fraction of the species\u0026#39; genetic variance represents differences among populations or geographic groups. All these findings are hard to reconcile with the notion of parallel evolution in different continents, implicit in the multiregional model; the alternative hypotheses are now better described as either complete replacement of archaic human populations, or as partial assimilation into anatomically modern populations. Critical information about human demographic history has emerged from analyses of genomic diversity, clearly supporting an African origin of our species, followed by dispersal of rather small groups of people in the other continents. However, ancient deoxyribonucleic acid from fossil specimens seems to suggest low, but significant, levels of hybridisation between anatomically archaic and modern humans in the course of the latter\u0026#39;s expansion from Africa, although alternative explanations of the data cannot be ruled out. Key Concepts: Genetic differences between humans are smaller than in any other primate species. Genetic differences between human populations account for a minor fraction of the species\u0026#39; diversity. Most human polymorphic alleles are present in all continents. Each population contains an ample subset of human allelic variants. African populations show the highest genome diversity worldwide, and alleles in other continents can largely be regarded as subsets of African diversity. Differences between populations are structured in the geographical space, showing evidence of repeated founder effects as humans expanded to colonise the whole planet. Models of genetic replacement, partial or total, of archaic human forms by anatomically modern humans account for current diversity better than any alternative models. Non-African people consistently show an excess of DNA similarity with the Neandertal genome, which is often (but not necessarily) interpreted as a consequence of archaic hybridisation between Neandertals and anatomically modern people dispersing from Africa. Keywords: genomic diversity; DNA diversity; out-of-Africa; multiregional evolution; coalescence; neandertal; admixture","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"eLS"},"translated_abstract":"The origins of modern human diversity have long been debated within a framework set by two hypotheses: ‘Out-of-Africa’ versus multiregional evolution. Humans are genetically closer to each other than members of all other primate species, most of our genetic diversity is accounted for by individual differences within populations, and only a small fraction of the species\u0026#39; genetic variance represents differences among populations or geographic groups. All these findings are hard to reconcile with the notion of parallel evolution in different continents, implicit in the multiregional model; the alternative hypotheses are now better described as either complete replacement of archaic human populations, or as partial assimilation into anatomically modern populations. Critical information about human demographic history has emerged from analyses of genomic diversity, clearly supporting an African origin of our species, followed by dispersal of rather small groups of people in the other continents. However, ancient deoxyribonucleic acid from fossil specimens seems to suggest low, but significant, levels of hybridisation between anatomically archaic and modern humans in the course of the latter\u0026#39;s expansion from Africa, although alternative explanations of the data cannot be ruled out. Key Concepts: Genetic differences between humans are smaller than in any other primate species. Genetic differences between human populations account for a minor fraction of the species\u0026#39; diversity. Most human polymorphic alleles are present in all continents. Each population contains an ample subset of human allelic variants. African populations show the highest genome diversity worldwide, and alleles in other continents can largely be regarded as subsets of African diversity. Differences between populations are structured in the geographical space, showing evidence of repeated founder effects as humans expanded to colonise the whole planet. Models of genetic replacement, partial or total, of archaic human forms by anatomically modern humans account for current diversity better than any alternative models. Non-African people consistently show an excess of DNA similarity with the Neandertal genome, which is often (but not necessarily) interpreted as a consequence of archaic hybridisation between Neandertals and anatomically modern people dispersing from Africa. Keywords: genomic diversity; DNA diversity; out-of-Africa; multiregional evolution; coalescence; neandertal; admixture","internal_url":"https://www.academia.edu/122844390/Human_Populations_Origins_and_Evolution","translated_internal_url":"","created_at":"2024-08-13T09:36:03.381-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6661654,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Human_Populations_Origins_and_Evolution","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6661654,"first_name":"Guido","middle_initials":null,"last_name":"Barbujani","page_name":"GuidoBarbujani","domain_name":"ferrara","created_at":"2013-11-06T19:25:40.370-08:00","display_name":"Guido 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122844388/Genetic_characterization_of_the_body_attributed_to_the_evangelist_Luke">Genetic characterization of the body attributed to the evangelist Luke</a></div><div class="wp-workCard_item"><span>Proceedings of the National Academy of Sciences</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then ...</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">Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then his body was transferred to Constantinople, and from there to Padua, Italy. To understand whether there is any biological evidence supporting a Syrian origin of the Padua body traditionally attributed to Luke, or a replacement in Greece or Turkey, the mtDNA was extracted from two teeth and its control region was cloned and typed. The sequence determined in multiple clones is an uncommon variant of a set of alleles that are common in the Mediterranean region. We also collected and typed modern samples from Syria and Greece. By comparison with these population samples, and with samples from Anatolia that were already available in the literature, we could reject the hypothesis that the body belonged to a Greek, rather than a Syrian, individual. However, the probability of an origin in the area of modern Turkey was only insignificantly lower than the probability of a Syrian origin. The genet...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844388"><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="122844388"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844388; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844388]").text(description); $(".js-view-count[data-work-id=122844388]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844388; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844388']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844388, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844388]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844388,"title":"Genetic characterization of the body attributed to the evangelist Luke","translated_title":"","metadata":{"abstract":"Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then his body was transferred to Constantinople, and from there to Padua, Italy. To understand whether there is any biological evidence supporting a Syrian origin of the Padua body traditionally attributed to Luke, or a replacement in Greece or Turkey, the mtDNA was extracted from two teeth and its control region was cloned and typed. The sequence determined in multiple clones is an uncommon variant of a set of alleles that are common in the Mediterranean region. We also collected and typed modern samples from Syria and Greece. By comparison with these population samples, and with samples from Anatolia that were already available in the literature, we could reject the hypothesis that the body belonged to a Greek, rather than a Syrian, individual. However, the probability of an origin in the area of modern Turkey was only insignificantly lower than the probability of a Syrian origin. The genet...","publisher":"Proceedings of the National Academy of Sciences","publication_date":{"day":null,"month":null,"year":2001,"errors":{}},"publication_name":"Proceedings of the National Academy of Sciences"},"translated_abstract":"Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then his body was transferred to Constantinople, and from there to Padua, Italy. To understand whether there is any biological evidence supporting a Syrian origin of the Padua body traditionally attributed to Luke, or a replacement in Greece or Turkey, the mtDNA was extracted from two teeth and its control region was cloned and typed. The sequence determined in multiple clones is an uncommon variant of a set of alleles that are common in the Mediterranean region. We also collected and typed modern samples from Syria and Greece. By comparison with these population samples, and with samples from Anatolia that were already available in the literature, we could reject the hypothesis that the body belonged to a Greek, rather than a Syrian, individual. However, the probability of an origin in the area of modern Turkey was only insignificantly lower than the probability of a Syrian origin. 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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/122844387/Origins_and_Evolution_of_the_Etruscans_mtDNA">Origins and Evolution of the Etruscans’ mtDNA</a></div><div class="wp-workCard_item"><span>PLoS ONE</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844387"><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="122844387"><i class="fa 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src="https://attachments.academia-assets.com/117422112/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/122844386/Inferring_Genealogical_Processes_from_Patterns_of_Bronze_Age_and_Modern_DNA_Variation_in_Sardinia">Inferring Genealogical Processes from Patterns of Bronze-Age and Modern DNA Variation in Sardinia</a></div><div class="wp-workCard_item"><span>Molecular Biology and Evolution</span><span>, 2009</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bb4fbc35e5b8e4efafe2e108119b4604" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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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/122844385/A_predominantly_neolithic_origin_for_European_paternal_lineages">A predominantly neolithic origin for European paternal lineages</a></div><div class="wp-workCard_item"><span>PLoS biology</span><span>, Jan 19, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neo...</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 relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. This reinterpretation makes Europe a prime example of how technological and cultural change is linked with the expansion of a Y-chromosomal lineage, and the contrast of this pattern with that shown by maternally inherited mitochondrial DNA suggests a unique role for males in the transition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844385"><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="122844385"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844385; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844385]").text(description); $(".js-view-count[data-work-id=122844385]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844385; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844385']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844385, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844385]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844385,"title":"A predominantly neolithic origin for European paternal lineages","translated_title":"","metadata":{"abstract":"The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. This reinterpretation makes Europe a prime example of how technological and cultural change is linked with the expansion of a Y-chromosomal lineage, and the contrast of this pattern with that shown by maternally inherited mitochondrial DNA suggests a unique role for males in the transition.","publisher":"ncbi.nlm.nih.gov","publication_date":{"day":19,"month":1,"year":2010,"errors":{}},"publication_name":"PLoS biology"},"translated_abstract":"The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. This reinterpretation makes Europe a prime example of how technological and cultural change is linked with the expansion of a Y-chromosomal lineage, and the contrast of this pattern with that shown by maternally inherited mitochondrial DNA suggests a unique role for males in the transition.","internal_url":"https://www.academia.edu/122844385/A_predominantly_neolithic_origin_for_European_paternal_lineages","translated_internal_url":"","created_at":"2024-08-13T09:36:02.283-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6661654,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_predominantly_neolithic_origin_for_European_paternal_lineages","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6661654,"first_name":"Guido","middle_initials":null,"last_name":"Barbujani","page_name":"GuidoBarbujani","domain_name":"ferrara","created_at":"2013-11-06T19:25:40.370-08:00","display_name":"Guido Barbujani","url":"https://ferrara.academia.edu/GuidoBarbujani"},"attachments":[],"research_interests":[{"id":155,"name":"Evolutionary 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class="work-thumbnail" src="https://attachments.academia-assets.com/117422111/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/122844384/Comparing_models_on_the_genealogical_relationships_among_Neandertal_Cro_Magnoid_and_modern_Europeans_by_serial_coalescent_simulations">Comparing models on the genealogical relationships among Neandertal, Cro-Magnoid and modern Europeans by serial coalescent simulations</a></div><div class="wp-workCard_item"><span>Heredity</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="262b2448612b900d1228161b8440eccd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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Group","url":"https://www.academia.edu/Documents/in/European_Continental_Ancestry_Group"},{"id":653357,"name":"Coalescent Simulations","url":"https://www.academia.edu/Documents/in/Coalescent_Simulations"}],"urls":[{"id":43987391,"url":"http://www.nature.com/articles/hdy2008103.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="122844383"><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/122844383/DNA_diversity_and_population_admixture_in_Anatolia"><img alt="Research paper thumbnail of DNA diversity and population admixture in Anatolia" class="work-thumbnail" src="https://attachments.academia-assets.com/117422163/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/122844383/DNA_diversity_and_population_admixture_in_Anatolia">DNA diversity and population admixture in Anatolia</a></div><div class="wp-workCard_item"><span>American Journal of Physical Anthropology</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Turkic language was introduced in Anatolia at the start of this millennium, by nomadic Turkme...</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 Turkic language was introduced in Anatolia at the start of this millennium, by nomadic Turkmen groups from Central Asia. Whether that cultural transition also had significant population‐genetics consequences is not fully understood. Three nuclear microsatellite loci, the hypervariable region I of the mitochondrial genome, six microsatellite loci of the Y chromosome, and one Alu insertion (YAP) were amplified and typed in 118 individuals from four populations of Anatolia. For each locus, the number of chromosomes considered varied between 51–200. Genetic variation was large within samples, and much less so between them. The contribution of Central Asian genes to the current Anatolian gene pool was quantified using three different methods, considering for comparison populations of Mediterranean Europe, and Turkic‐speaking populations of Central Asia. The most reliable estimates suggest roughly 30% Central Asian admixture for both mitochondrial and Y‐chromosome loci. 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src="https://attachments.academia-assets.com/117422122/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/122844399/A_Revised_Model_of_Anatomically_Modern_Human_Expansions_Out_of_Africa_through_a_Machine_Learning_Approximate_Bayesian_Computation_Approach">A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach</a></div><div class="wp-workCard_item"><span>Genes</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (...</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">There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open question whether AMH left Africa through a single process, dispersing almost simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Australo-Melanesia, and later through a northern route crossing the Levant. The development of new methodologies for inferring population history and the availability of worldwide high-coverage whole-genome sequences did not resolve this debate. In this work, we test the two main out-of-Africa hypotheses through an Approximate Bayesian Computation approach, based on the Random-Forest algorithm. We evaluated the ability of the method to discriminate between the alternative models of AMH out-of-Africa, using simulated data. Once assessed that the models a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="796fc4db6335fc4d9e58f3d019ee694d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422122,&quot;asset_id&quot;:122844399,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422122/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844399"><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="122844399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844399; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844399]").text(description); $(".js-view-count[data-work-id=122844399]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844399; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844399']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844399, 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: "796fc4db6335fc4d9e58f3d019ee694d" } } $('.js-work-strip[data-work-id=122844399]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844399,"title":"A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach","translated_title":"","metadata":{"abstract":"There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. 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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="122844397"><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/122844397/A_western_route_of_prehistoric_human_migration_from_Africa_into_the_Iberian_Peninsula"><img alt="Research paper thumbnail of A western route of prehistoric human migration from Africa into the Iberian Peninsula" class="work-thumbnail" src="https://attachments.academia-assets.com/117422120/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/122844397/A_western_route_of_prehistoric_human_migration_from_Africa_into_the_Iberian_Peninsula">A western route of prehistoric human migration from Africa into the Iberian Peninsula</a></div><div class="wp-workCard_item"><span>Proceedings of the Royal Society B: Biological Sciences</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of ...</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">Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of Neolithization. A few studies, all based on modern populations, reported the presence of DNA of likely African origin in this region, generally concluding it was the result of recent gene flow, probably during the Islamic period. Here, we provide evidence of much older gene flow from Africa to Iberia by sequencing whole genomes from four human remains from northern Portugal and southern Spain dated around 4000 years BP (from the Middle Neolithic to the Bronze Age). We found one of them to carry an unequivocal sub-Saharan mitogenome of most probably West or West-Central African origin, to our knowledge never reported before in prehistoric remains outside Africa. Our analyses of ancient nuclear genomes show small but significant levels of sub-Saharan African affinity in several ancient Iberian samples, which indicates that what we detected was not an occasional individual phenomenon, but a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7fd7cc3ff4046820d742e26b0f398cb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422120,&quot;asset_id&quot;:122844397,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422120/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844397"><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="122844397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844397; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844397]").text(description); $(".js-view-count[data-work-id=122844397]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844397; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844397']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844397, 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: "7fd7cc3ff4046820d742e26b0f398cb1" } } $('.js-work-strip[data-work-id=122844397]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844397,"title":"A western route of prehistoric human migration from Africa into the Iberian Peninsula","translated_title":"","metadata":{"abstract":"Being at the western fringe of Europe, Iberia had a peculiar prehistory and a complex pattern of Neolithization. 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true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122844395"><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/122844395/Genome_diversity_in_the_Neolithic_Globular_Amphorae_culture_and_the_spread_of_Indo_European_languages"><img alt="Research paper thumbnail of Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages" class="work-thumbnail" src="https://attachments.academia-assets.com/117422148/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/122844395/Genome_diversity_in_the_Neolithic_Globular_Amphorae_culture_and_the_spread_of_Indo_European_languages">Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages</a></div><div class="wp-workCard_item"><span>Proceedings. Biological sciences</span><span>, Jan 29, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the lat...</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">It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the late Neolithic, or from Anatolia in the Early Neolithic. Under the former hypothesis, people of the Globular Amphorae culture (GAC) would be descended from Eastern ancestors, likely representing the Yamnaya culture. However, nuclear (six individuals typed for 597 573 SNPs) and mitochondrial (11 complete sequences) DNA from the GAC appear closer to those of earlier Neolithic groups than to the DNA of all other populations related to the Pontic steppe migration. Explicit comparisons of alternative demographic models via approximate Bayesian computation confirmed this pattern. These results are not in contrast to Late Neolithic gene flow from the Pontic steppes into Central Europe. However, they add nuance to this model, showing that the eastern affinities of the GAC in the archaeological record reflect cultural influences from other groups from the East, rather than the movement of people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cce29fd53de904edb4f6a08df5362b9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422148,&quot;asset_id&quot;:122844395,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422148/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844395"><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="122844395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844395; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844395]").text(description); $(".js-view-count[data-work-id=122844395]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844395; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844395']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844395, 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: "7cce29fd53de904edb4f6a08df5362b9" } } $('.js-work-strip[data-work-id=122844395]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844395,"title":"Genome diversity in the Neolithic Globular Amphorae culture and the spread of Indo-European languages","translated_title":"","metadata":{"abstract":"It is unclear whether Indo-European languages in Europe spread from the Pontic steppes in the late Neolithic, or from Anatolia in the Early Neolithic. 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"profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="122844394"><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/122844394/Demographic_history_and_adaptation_account_for_clock_gene_diversity_in_humans"><img alt="Research paper thumbnail of Demographic history and adaptation account for clock gene diversity in humans" class="work-thumbnail" src="https://attachments.academia-assets.com/117422117/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/122844394/Demographic_history_and_adaptation_account_for_clock_gene_diversity_in_humans">Demographic history and adaptation account for clock gene diversity in humans</a></div><div class="wp-workCard_item"><span>Heredity</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1a9332cabcd2a740b2750815fb9ecdfa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422117,&quot;asset_id&quot;:122844394,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422117/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844394"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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href="https://www.academia.edu/122844393/Early_modern_human_dispersal_from_Africa_genomic_evidence_for_multiple_waves_of_migration"><img alt="Research paper thumbnail of Early modern human dispersal from Africa: genomic evidence for multiple waves of migration" class="work-thumbnail" src="https://attachments.academia-assets.com/117422149/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/122844393/Early_modern_human_dispersal_from_Africa_genomic_evidence_for_multiple_waves_of_migration">Early modern human dispersal from Africa: genomic evidence for multiple waves of migration</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background. Anthropological and genetic data agree in indicating the African continent as the mai...</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. Anthropological and genetic data agree in indicating the African continent as the main place of origin for modern human. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab peninsula into Southern Asia and Oceania, and later through a Northern route crossing the Levant. Results. Here we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa, and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of hybridization with archaic human forms in Australo-Melanesia. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes. Conclusions. We conclude tha...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0821a2a44a41d27a1e17e7d180f91318" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422149,&quot;asset_id&quot;:122844393,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422149/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4NSw4LjIyMi4yMDguMTQ2&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="122844393"><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="122844393"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844393; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844393]").text(description); $(".js-view-count[data-work-id=122844393]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844393; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844393']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844393, 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: "0821a2a44a41d27a1e17e7d180f91318" } } $('.js-work-strip[data-work-id=122844393]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844393,"title":"Early modern human dispersal from Africa: genomic evidence for multiple waves of migration","translated_title":"","metadata":{"abstract":"Background. Anthropological and genetic data agree in indicating the African continent as the main place of origin for modern human. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab peninsula into Southern Asia and Oceania, and later through a Northern route crossing the Levant. Results. Here we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa, and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of hybridization with archaic human forms in Australo-Melanesia. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes. Conclusions. We conclude tha...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2015,"errors":{}}},"translated_abstract":"Background. Anthropological and genetic data agree in indicating the African continent as the main place of origin for modern human. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab peninsula into Southern Asia and Oceania, and later through a Northern route crossing the Levant. Results. Here we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa, and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of hybridization with archaic human forms in Australo-Melanesia. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes. Conclusions. We conclude 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122844390/Human_Populations_Origins_and_Evolution">Human Populations: Origins and Evolution</a></div><div class="wp-workCard_item"><span>eLS</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The origins of modern human diversity have long been debated within a framework set by two hypoth...</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 origins of modern human diversity have long been debated within a framework set by two hypotheses: ‘Out-of-Africa’ versus multiregional evolution. Humans are genetically closer to each other than members of all other primate species, most of our genetic diversity is accounted for by individual differences within populations, and only a small fraction of the species&amp;#39; genetic variance represents differences among populations or geographic groups. All these findings are hard to reconcile with the notion of parallel evolution in different continents, implicit in the multiregional model; the alternative hypotheses are now better described as either complete replacement of archaic human populations, or as partial assimilation into anatomically modern populations. Critical information about human demographic history has emerged from analyses of genomic diversity, clearly supporting an African origin of our species, followed by dispersal of rather small groups of people in the other continents. However, ancient deoxyribonucleic acid from fossil specimens seems to suggest low, but significant, levels of hybridisation between anatomically archaic and modern humans in the course of the latter&amp;#39;s expansion from Africa, although alternative explanations of the data cannot be ruled out. Key Concepts: Genetic differences between humans are smaller than in any other primate species. Genetic differences between human populations account for a minor fraction of the species&amp;#39; diversity. Most human polymorphic alleles are present in all continents. Each population contains an ample subset of human allelic variants. African populations show the highest genome diversity worldwide, and alleles in other continents can largely be regarded as subsets of African diversity. Differences between populations are structured in the geographical space, showing evidence of repeated founder effects as humans expanded to colonise the whole planet. Models of genetic replacement, partial or total, of archaic human forms by anatomically modern humans account for current diversity better than any alternative models. Non-African people consistently show an excess of DNA similarity with the Neandertal genome, which is often (but not necessarily) interpreted as a consequence of archaic hybridisation between Neandertals and anatomically modern people dispersing from Africa. Keywords: genomic diversity; DNA diversity; out-of-Africa; multiregional evolution; coalescence; neandertal; admixture</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844390"><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="122844390"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844390; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844390]").text(description); $(".js-view-count[data-work-id=122844390]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844390; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844390']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844390, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844390]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844390,"title":"Human Populations: Origins and Evolution","translated_title":"","metadata":{"abstract":"The origins of modern human diversity have long been debated within a framework set by two hypotheses: ‘Out-of-Africa’ versus multiregional evolution. 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However, ancient deoxyribonucleic acid from fossil specimens seems to suggest low, but significant, levels of hybridisation between anatomically archaic and modern humans in the course of the latter\u0026#39;s expansion from Africa, although alternative explanations of the data cannot be ruled out. Key Concepts: Genetic differences between humans are smaller than in any other primate species. Genetic differences between human populations account for a minor fraction of the species\u0026#39; diversity. Most human polymorphic alleles are present in all continents. Each population contains an ample subset of human allelic variants. African populations show the highest genome diversity worldwide, and alleles in other continents can largely be regarded as subsets of African diversity. Differences between populations are structured in the geographical space, showing evidence of repeated founder effects as humans expanded to colonise the whole planet. 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122844388/Genetic_characterization_of_the_body_attributed_to_the_evangelist_Luke">Genetic characterization of the body attributed to the evangelist Luke</a></div><div class="wp-workCard_item"><span>Proceedings of the National Academy of Sciences</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then ...</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">Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then his body was transferred to Constantinople, and from there to Padua, Italy. To understand whether there is any biological evidence supporting a Syrian origin of the Padua body traditionally attributed to Luke, or a replacement in Greece or Turkey, the mtDNA was extracted from two teeth and its control region was cloned and typed. The sequence determined in multiple clones is an uncommon variant of a set of alleles that are common in the Mediterranean region. We also collected and typed modern samples from Syria and Greece. By comparison with these population samples, and with samples from Anatolia that were already available in the literature, we could reject the hypothesis that the body belonged to a Greek, rather than a Syrian, individual. However, the probability of an origin in the area of modern Turkey was only insignificantly lower than the probability of a Syrian origin. The genet...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844388"><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="122844388"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844388; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844388]").text(description); $(".js-view-count[data-work-id=122844388]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844388; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844388']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844388, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844388]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844388,"title":"Genetic characterization of the body attributed to the evangelist Luke","translated_title":"","metadata":{"abstract":"Historical sources indicate that the evangelist Luke was born in Syria, died in Greece, and then his body was transferred to Constantinople, and from there to Padua, Italy. 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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/122844385/A_predominantly_neolithic_origin_for_European_paternal_lineages">A predominantly neolithic origin for European paternal lineages</a></div><div class="wp-workCard_item"><span>PLoS biology</span><span>, Jan 19, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neo...</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 relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. This reinterpretation makes Europe a prime example of how technological and cultural change is linked with the expansion of a Y-chromosomal lineage, and the contrast of this pattern with that shown by maternally inherited mitochondrial DNA suggests a unique role for males in the transition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><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="122844385"><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="122844385"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844385; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844385]").text(description); $(".js-view-count[data-work-id=122844385]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844385; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844385']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844385, 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 (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=122844385]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844385,"title":"A predominantly neolithic origin for European paternal lineages","translated_title":"","metadata":{"abstract":"The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. 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Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. 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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/122844383/DNA_diversity_and_population_admixture_in_Anatolia">DNA diversity and population admixture in Anatolia</a></div><div class="wp-workCard_item"><span>American Journal of Physical Anthropology</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Turkic language was introduced in Anatolia at the start of this millennium, by nomadic Turkme...</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 Turkic language was introduced in Anatolia at the start of this millennium, by nomadic Turkmen groups from Central Asia. Whether that cultural transition also had significant population‐genetics consequences is not fully understood. Three nuclear microsatellite loci, the hypervariable region I of the mitochondrial genome, six microsatellite loci of the Y chromosome, and one Alu insertion (YAP) were amplified and typed in 118 individuals from four populations of Anatolia. For each locus, the number of chromosomes considered varied between 51–200. Genetic variation was large within samples, and much less so between them. The contribution of Central Asian genes to the current Anatolian gene pool was quantified using three different methods, considering for comparison populations of Mediterranean Europe, and Turkic‐speaking populations of Central Asia. The most reliable estimates suggest roughly 30% Central Asian admixture for both mitochondrial and Y‐chromosome loci. That (admitted...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="85daa8dd816d7726eb16cb54d1a67536" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:117422163,&quot;asset_id&quot;:122844383,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/117422163/download_file?st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&st=MTczMjQ0NzE4Niw4LjIyMi4yMDguMTQ2&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="122844383"><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="122844383"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122844383; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=122844383]").text(description); $(".js-view-count[data-work-id=122844383]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 122844383; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='122844383']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 122844383, 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: "85daa8dd816d7726eb16cb54d1a67536" } } $('.js-work-strip[data-work-id=122844383]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":122844383,"title":"DNA diversity and population admixture in Anatolia","translated_title":"","metadata":{"abstract":"The Turkic language was introduced in Anatolia at the start of this millennium, by nomadic Turkmen groups from Central Asia. Whether that cultural transition also had significant population‐genetics consequences is not fully understood. Three nuclear microsatellite loci, the hypervariable region I of the mitochondrial genome, six microsatellite loci of the Y chromosome, and one Alu insertion (YAP) were amplified and typed in 118 individuals from four populations of Anatolia. For each locus, the number of chromosomes considered varied between 51–200. Genetic variation was large within samples, and much less so between them. The contribution of Central Asian genes to the current Anatolian gene pool was quantified using three different methods, considering for comparison populations of Mediterranean Europe, and Turkic‐speaking populations of Central Asia. The most reliable estimates suggest roughly 30% Central Asian admixture for both mitochondrial and Y‐chromosome loci. 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