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

David M. Howard, Mark J. Adams, Toni-Kim Clarke, Jonathan D. Hafferty, Jude Gibson, Masoud Shirali, Jonathan R. I. Coleman, Saskia P. Hagenaars, Joey Ward, Eleanor M. Wigmore, Clara Alloza, Xueyi Shen, Miruna C. Barbu, Eileen Y. Xu, Heather C. Whalley, Riccardo E. Marioni, David J. Porteous, Gail Davies, Ian J. Deary, Gibran HemaniKlaus Berger, Henning Teismann, Rajesh Rawal, Volker Arolt, Bernhard T. Baune, Udo Dannlowski, Katharina Domschke, Chao Tian, David A. Hinds, 23andMe Research Team, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Maciej Trzaskowski, Enda M. Byrne, Stephan Ripke, Daniel J. Smith, Patrick F. Sullivan, Naomi R. Wray, Gerome Breen, Cathryn M. Lewis, Andrew M. McIntosh

Research output: Contribution to journal › Article › peer-review

5 Invited talk
2 Research and Teaching at External Organisation
1 Public Engagement – Festival/Exhibition
1 Public Engagement – Public lecture/debate/seminar
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- 1 Providing oral or written evidence for non-academic board, committee, working group or advisory panel
- 1 Oral presentation

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UK Biobank Public Meeting
Andrew McIntosh (Speaker) & Mark James Adams (Advisor)
7 Oct 2019
Activity: Participating in or organising an event types › Public Engagement – Public lecture/debate/seminar

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

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UK Biobank Public Meeting