Proteome-wide Association Study Provides Insights Into the Genetic Component of Protein Abundance in Psychiatric Disorders

精神分裂症(面向对象编程) 转录组 双相情感障碍 蛋白质组 基因 生物 遗传关联 重性抑郁障碍 全基因组关联研究 遗传学 精神科 生物信息学 医学 单核苷酸多态性 基因表达 基因型 认知
作者
Jiewei Liu,Xiaoyan Li,Xiong‐Jian Luo
出处
期刊:Biological Psychiatry [Elsevier BV]
卷期号:90 (11): 781-789 被引量:73
标识
DOI:10.1016/j.biopsych.2021.06.022
摘要

Background Genome-wide association studies have identified multiple risk variants for psychiatric disorders. Nevertheless, how the risk variants confer risk of psychiatric disorders remains largely unknown. Methods We performed proteome-wide association studies to identify genes whose cis-regulated protein abundance change in the human brain were associated with psychiatric disorders. Results By integrating genome-wide associations of four common psychiatric disorders and two independent brain proteomes (n = 376 and n = 152, respectively) from the dorsolateral prefrontal cortex, we identified 61 genes (including 48 genes for schizophrenia, 12 genes for bipolar disorder, 5 genes for depression, and 2 genes for attention-deficit/hyperactivity disorder) whose genetically regulated protein abundance levels were associated with risk of psychiatric disorders. Comparison with transcriptome-wide association studies identified 18 overlapping genes that showed significant associations with psychiatric disorders at both proteome-wide and transcriptome-wide levels, suggesting that genetic risk variants likely confer risk of psychiatric disorders by regulating messenger RNA expression and protein abundance of these genes. Conclusions Our study not only provides new insights into the genetic component of protein abundance in psychiatric disorders but also highlights several high-confidence risk proteins (including CNNM2 and CTNND1) for schizophrenia and depression. These high-confidence risk proteins represent promising therapeutic targets for future drug development.
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