Nat Neurosci. 2015 Feb;18(2):199-209. doi: 10.1038/nn.3922. Epub 2015 Jan 19.
Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.
全基因组关联研究(GWAS)已鉴定出多种与精神疾病相关的遗传关联,但需要更好的方法来推导出这些信号所指示的潜在生物学机制。我们试图从精神疾病基因组学联盟的 60000 多名参与者的 GWAS 数据中识别生物途径。我们开发了一种仅需要汇总统计数据的分析框架来对途径进行排序。我们将这种评分与三种成人精神疾病(精神分裂症、重度抑郁症和双相情感障碍)相结合,以找到常见的途径。组蛋白甲基化过程显示出最强的关联,我们还发现了与多种免疫和神经元信号通路以及突触后密度相关的具有统计学意义的证据。我们的研究表明,精神疾病的风险变异在特定的生物学途径中聚集,这些途径在疾病之间经常共享。我们的结果证实了已知的机制,并为精神疾病的病因提供了一些新的见解。