[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.22″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ background_color=”#072c72″ border_color_all=”#3255c9″ text_orientation=”right” background_layout=”dark” custom_padding=”20px|15px|15px|” z_index_tablet=”500″]<\/p>\n
2022<\/em><\/p>\n Masters Projects<\/em><\/p>\n @Mathematics and Statistics<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”3.22.1″ text_orientation=”right” z_index_tablet=”500″]<\/p>\n +Computer Science<\/p>\n +Biology<\/p>\n +Medicine<\/p>\n \u00a0<\/p>\n #statistical genetics<\/p>\n #pleiotropy<\/p>\n #complex traits and diseases<\/p>\n #post-genomic data<\/p>\n #machine learning<\/p>\n #GPU programming<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n Nowadays in human genetics, one particular concept seems to resurge: pleiotropy. Pleiotropy occurs when one genetic element (e.g. variant, gene) has independent effects on several traits. Although pleiotropy is extremely common and thought to play a central role in the genetic architecture of human complex traits and diseases, it is one of the least understood phenomena. We have shown that several biological mechanisms exist and induce different pleiotropy states at the level of the variants. Specifically, we have conceptualized 5 biological mechanisms 1) linkage disequilibrium; 2) causality between traits; 3) genetic correlation between traits; 4) high polygenicity of traits; 5) horizontal pleiotropy (true independent effects of a variant on two traits). This internship will be dedicated to building a comprehensive framework to disentangle all 5 states of pleiotropy and provide a genome-wide map of pleiotropy using machine learning. Specifically, we propose 1) to improve on a method that we have published in a proof of-concept paper using unsupervised approaches based on penalized methods, random forests or deep learning; 2) to explore semi-supervised learning using a creative strategy to label data that we have developed.<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” _builder_version=”3.22.1″ admin_label=”Row” locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.22.1″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”35″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″ locked=”off”][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" 2022Masters Projects@Mathematics and Statistics +Computer Science+Biology+Medicine\u00a0#statistical genetics#pleiotropy#complex traits and diseases#post-genomic data#machine learning#GPU programming\u00a0 Project SummaryNowadays in human genetics, one particular concept seems to resurge: pleiotropy. Pleiotropy occurs when one genetic element (e.g. variant, gene) has independent effects on several traits. Although pleiotropy is extremely common and thought to play a central role in the genetic… Lire la suite Modeling genetic pleiotropy using machine learning to understand the human genetic architecture<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[55,1,29,35],"tags":[],"class_list":["post-1629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-55","category-diip","category-masters-internship","category-mathematics-statistics"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1629","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1629"}],"version-history":[{"count":3,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1629\/revisions"}],"predecessor-version":[{"id":2353,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1629\/revisions\/2353"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2263"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Project Summary<\/strong><\/h3>\n
Marie Verbanck<\/strong><\/h5>\n
Projects in the same discipline
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