Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

M. Howard, David; J. Adams, Mark; Clarke, Toni‐Kim; D. Hafferty, Jonathan; Gibson, Jude; Shirali, Masoud; R. I. Coleman, Jonathan; P. Hagenaars, Saskia; Ward, Joey; M. Wigmore, Eleanor; Alloza, Clara; Shen, Xueyi; C. Barbu, Miruna; Y. Xu, Eileen; C. Whalley, Heather; E. Marioni, Riccardo; J. Porteous, David; Davies, Gail; J. Deary, Ian; Hemani, Gibran; Berger, Klaus; Teismann, Henning; Rawal, Rajesh; Arolt, Volker; T. Baune, Bernhard; Dannlowski, Udo; Domschke, Katharina; Tian, Chao; A. Hinds, David; Trzaskowski, Maciej; M. Byrne, Enda; Ripke, Stephan; J. Smıth, Daniel; F. Sullivan, Patrick; R. Wray, Naomi; Breen, Gerome; M. Lewis, Cathryn; M. McIntosh, Andrew

doi:10.1038/s41593-018-0326-7

Public

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Published in Nature Neuroscience • Feb 4, 2019

Authors:

David M. Howard

Mark J. Adams

Toni‐Kim Clarke

Abstract

Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analy...

Subject

Anhedonia

Genome-wide association study

Depression (economics)

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