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Nature neuroscience · 2019

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

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

Аннотация

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-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant after multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding etiology and developing new treatment approaches.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты