全基因组关联研究
生命银行
转录组
重性抑郁障碍
遗传建筑学
荟萃分析
生物
遗传学
伏隔核
遗传关联
萧条(经济学)
基因
精神科
神经科学
医学
单核苷酸多态性
基因型
数量性状位点
内科学
基因表达
扁桃形结构
宏观经济学
经济
受体
作者
Daniel F. Levey,Murray B. Stein,Frank R. Wendt,Gita A. Pathak,Hang Zhou,Mihaela Aslan,Rachel M. Quaden,Kelly M. Harrington,Yaira Z. Nuñez,Cassie M. Overstreet,Krishnan Radhakrishnan,Gerard Sanacora,Andrew Mark McIntosh,Jingchunzi Shi,Suyash Shringarpure,the VA Million Veteran Program,John Concato,Renato A Polimanti,Joel E. Gelernter
标识
DOI:10.1038/s41593-021-00860-2
摘要
Major depressive disorder is the most common neuropsychiatric disorder, affecting 11% of veterans. Here we report results of a large meta-analysis of depression using data from the Million Veteran Program, 23andMe, UK Biobank and FinnGen, including individuals of European ancestry (n = 1,154,267; 340,591 cases) and African ancestry (n = 59,600; 25,843 cases). Transcriptome-wide association study analyses revealed significant associations with expression of NEGR1 in the hypothalamus and DRD2 in the nucleus accumbens, among others. We fine-mapped 178 genomic risk loci, and we identified likely pathogenicity in these variants and overlapping gene expression for 17 genes from our transcriptome-wide association study, including TRAF3. Finally, we were able to show substantial replications of our findings in a large independent cohort (n = 1,342,778) provided by 23andMe. This study sheds light on the genetic architecture of depression and provides new insight into the interrelatedness of complex psychiatric traits.
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