Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
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Published:2019-02-04
Issue:3
Volume:22
Page:343-352
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ISSN:1097-6256
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Container-title:Nature Neuroscience
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language:en
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Short-container-title:Nat Neurosci
Author:
Howard David M.ORCID, , Adams Mark J.ORCID, Clarke Toni-Kim, Hafferty Jonathan D., Gibson JudeORCID, Shirali MasoudORCID, Coleman Jonathan R. I.ORCID, Hagenaars Saskia P., Ward Joey, Wigmore Eleanor M., Alloza ClaraORCID, Shen XueyiORCID, Barbu Miruna C., Xu Eileen Y., Whalley Heather C.ORCID, Marioni Riccardo E., Porteous David J.ORCID, Davies Gail, Deary Ian J., Hemani Gibran, Berger Klaus, Teismann HenningORCID, Rawal Rajesh, Arolt Volker, Baune Bernhard T., Dannlowski Udo, Domschke Katharina, Tian Chao, Hinds David A.ORCID, Trzaskowski Maciej, Byrne Enda M.ORCID, Ripke Stephan, Smith Daniel J.ORCID, Sullivan Patrick F., Wray Naomi R.ORCID, Breen GeromeORCID, Lewis Cathryn M.ORCID, McIntosh Andrew M.ORCID,
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience
Reference85 articles.
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(2017). 2. Kessler, R. C. et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 62, 593–602 (2005). 3. Sullivan, P. F., Neale, M. C. & Kendler, K. S. Genetic epidemiology of major depression: review and meta-analysis. Am. J. Psychiatry 157, 1552–1562 (2000). 4. Ripke, S. et al. Major depressive disorder working group of the psychiatric GWAS Consortium. A mega-analysis of genome-wide association studies for major depressive disorder. Mol. Psychiatry 18, 497–511 (2013). 5. Howard, D. M. et al. Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nat. Commun. 9, 1470 (2018).
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