{"id":5950,"date":"2018-05-04T14:51:46","date_gmt":"2018-05-04T18:51:46","guid":{"rendered":"https:\/\/www.med.unc.edu\/genetics\/?p=5950"},"modified":"2018-05-04T14:52:22","modified_gmt":"2018-05-04T18:52:22","slug":"groundbreaking-study-co-directed-by-patrick-sullivan-md-franzcp-identifies-new-genes-associated-with-major-depressive-disorder-mdd","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/genetics\/groundbreaking-study-co-directed-by-patrick-sullivan-md-franzcp-identifies-new-genes-associated-with-major-depressive-disorder-mdd\/","title":{"rendered":"Groundbreaking study co-directed by Patrick Sullivan, MD, FRANZCP, identifies new genes associated with major depressive disorder (MDD)"},"content":{"rendered":"

Nature Genetics<\/i>\u00a0published the paper titled \u201cGenome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression<\/a>\u201d on 26 April 2018.\u00a0Dr. Sullivan was the senior corresponding author and helped direct the study with several other investigators.<\/p>\n

\"\"<\/p>\n

By conducting a genome-wide association meta-analysis in 135,458 MDD cases and 344,901 controls, the team identified 44 independent and significant loci that were associated with clinical features of MDD and implicated brain regions exhibiting anatomical differences.\u00a0 They found important relationships of genetic risk for MDD with educational attainment, body mass, and schizophrenia:\u00a0 lower educational attainment and higher body mass were putatively causal, and MDD and schizophrenia shared partial biological etiologies.\u00a0 The results can be used for improved therapies since targets of known antidepressants were enriched in the genetic findings.\u00a0 Multiple news outlets have highlighted this story, including\u00a0Yahoo News<\/a>,\u00a0Medical News Today<\/a>,\u00a0Live Science<\/a>,\u00a0Futurity<\/a>,\u00a0Japan Times<\/a>, and others.<\/p>\n","protected":false},"excerpt":{"rendered":"

Nature Genetics\u00a0published the paper titled \u201cGenome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression\u201d on 26 April 2018.<\/p>\n","protected":false},"author":22429,"featured_media":2956,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-5950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","odd"],"acf":[],"yoast_head":"\nGroundbreaking study co-directed by Patrick Sullivan, MD, FRANZCP, identifies new genes associated with major depressive disorder (MDD) | Department of Genetics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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