{"id":24,"date":"2012-07-17T11:31:56","date_gmt":"2012-07-17T09:31:56","guid":{"rendered":"http:\/\/wp.unil.ch\/sgg\/?page_id=24"},"modified":"2025-08-29T09:53:54","modified_gmt":"2025-08-29T07:53:54","slug":"welcome","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/sgg\/","title":{"rendered":"Welcome"},"content":{"rendered":"<p style=\"text-align: justify\">Welcome to the website of the Statistical Genetics Group! The group is part of the Department of Epidemiology and Health Systems at the <a href=\"https:\/\/www.unisante.ch\/\">Unisant\u00e9<\/a> and affiliated with the <a href=\"https:\/\/www.unil.ch\/dbc\/en\/home.html\">Department of Computational Biology<\/a>, the <a href=\"https:\/\/www.sib.swiss\/\">Swiss Institute of Bioinformatics<\/a>. Our group develops state-of-the-art statistical genetics methods to answer a wide range of questions in human genetics and epidemiology. These effort can be grouped into three major topics:<\/p>\n<p><strong>(1) We seek to discover unknown elements in the genetic architecture of complex human traits:<\/strong><\/p>\n<ul>\n<li>gene-environment interactions<\/li>\n<li>parent-of-origin effects<\/li>\n<li>interplay between common and rare genetic variants<\/li>\n<li>signatures of stabilising selection<\/li>\n<\/ul>\n<p><strong>(2) We devise and apply novel causal inference methods to understand the non-genetic component of disease aetiology<\/strong><\/p>\n<ul>\n<li>environment specific causal effects of risk factors<\/li>\n<li>causal molecular biomarkers<\/li>\n<li>causal effect mediation<\/li>\n<li>drug target discovery<\/li>\n<li>pharmacogenomics<\/li>\n<\/ul>\n<p><strong>(3) We repurpose genetically informed methods to reveal human behavioural patterns, such as<\/strong><\/p>\n<ul>\n<li>assortative mating<\/li>\n<li>parental rearing effects<\/li>\n<li>study participation behaviour<\/li>\n<li>self-reporting biases<\/li>\n<\/ul>\n<p>Most of our applications involve cardio metabolic disease outcomes and obesity and cognition-related risk factors along with omics measurements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Welcome to the website of the Statistical Genetics Group! The group is part of the Department of Epidemiology and Health Systems at the Unisant\u00e9 and affiliated with the Department of &hellip; <\/p>\n","protected":false},"author":970,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-24","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/users\/970"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":2,"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/pages\/24\/revisions"}],"predecessor-version":[{"id":1913,"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/pages\/24\/revisions\/1913"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/sgg\/wp-json\/wp\/v2\/media?parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}