全基因组关联研究
孟德尔随机化
蛋白质组
萧条(经济学)
生物
转录组
遗传关联
基因
计算生物学
遗传学
生物信息学
神经科学
基因表达
单核苷酸多态性
基因型
遗传变异
经济
宏观经济学
作者
Thomas S. Wingo,Yue Liu,Ekaterina S. Gerasimov,Jake Gockley,Benjamin A. Logsdon,Duc M. Duong,Eric B. Dammer,Adriana Lori,Paul J. Kim,Kerry J. Ressler,Thomas G. Beach,Eric M. Reiman,Michael P. Epstein,Philip L. De Jager,James J. Lah,David A. Bennett,Nicholas T. Seyfried,Allan I. Levey,Aliza P. Wingo
标识
DOI:10.1038/s41593-021-00832-6
摘要
Depression is a common condition, but current treatments are only effective in a subset of individuals. To identify new treatment targets, we integrated depression genome-wide association study (GWAS) results (N = 500,199) with human brain proteomes (N = 376) to perform a proteome-wide association study of depression followed by Mendelian randomization. We identified 19 genes that were consistent with being causal in depression, acting via their respective cis-regulated brain protein abundance. We replicated nine of these genes using an independent depression GWAS (N = 307,353) and another human brain proteomic dataset (N = 152). Eleven of the 19 genes also had cis-regulated mRNA levels that were associated with depression, based on integration of the depression GWAS with human brain transcriptomes (N = 888). Meta-analysis of the discovery and replication proteome-wide association study analyses identified 25 brain proteins consistent with being causal in depression, 20 of which were not previously implicated in depression by GWAS. Together, these findings provide promising brain protein targets for further mechanistic and therapeutic studies. Wingo et al. integrate depression GWAS results with human brain proteomes to perform proteome-wide association studies followed by Mendelian randomization. They identify 25 proteins as potential causal mediators of depression, of which 20 are new.
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