Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Genes (Basel). 2021 Sep 26;12(10):1506. doi: 10.3390/genes12101506.
Major depressive disorder (MDD) is one of the most prevalent and disabling mental disorders worldwide. Among the symptoms of MDD, sleep disturbance such as insomnia is prominent, and the first reason patients may seek professional help. However, the underlying pathophysiology of this comorbidity is still elusive. Recently, genome-wide association studies (GWAS) have begun to unveil the genetic background of several psychiatric disorders, including MDD and insomnia. Identifying the shared genomic risk loci between comorbid psychiatric disorders could be a valuable strategy to understanding their comorbidity. This study seeks to identify the shared genes and biological pathways between MDD and insomnia based on their shared genetic variants. First, we performed a meta-analysis based on the GWAS summary statistics of MDD and insomnia obtained from Psychiatric Genomics Consortium and UK Biobank, respectively. Next, we associated shared genetic variants to genes using two gene mapping strategies: (a) positional mapping based on genomic proximity and (b) expression quantitative trait loci (eQTL) mapping based on gene expression linkage across multiple tissues. As a result, a total of 719 shared genes were identified. Over half (51%) of them are protein-coding genes. Functional enrichment analysis shows that the most enriched biological pathways are related to epigenetic modification, sensory perception, and immunologic signatures. We also identified druggable targets using a network approach. Together, these results may provide insights into understanding the genetic predisposition and underlying biological pathways of comorbid MDD and insomnia symptoms.
重度抑郁症(MDD)是全球最常见和致残的精神障碍之一。在 MDD 的症状中,睡眠障碍如失眠较为突出,也是患者寻求专业帮助的首要原因。然而,这种共病的潜在病理生理学仍然难以捉摸。最近,全基因组关联研究(GWAS)开始揭示包括 MDD 和失眠在内的几种精神疾病的遗传背景。确定共病精神障碍之间的共享基因组风险基因座可能是理解它们共病的一种有价值的策略。本研究旨在基于 MDD 和失眠的共享遗传变异,确定它们之间的共享基因和生物学途径。首先,我们分别基于精神疾病基因组学联盟和英国生物库的 MDD 和失眠的 GWAS 汇总统计数据进行了荟萃分析。接下来,我们使用两种基因映射策略将共享遗传变异与基因相关联:(a)基于基因组邻近性的位置映射,(b)基于多个组织中基因表达连锁的表达数量性状基因座(eQTL)映射。结果共鉴定出 719 个共享基因。其中一半以上(51%)是编码蛋白的基因。功能富集分析表明,最富集的生物学途径与表观遗传修饰、感觉感知和免疫特征有关。我们还使用网络方法鉴定了可成药的靶点。总之,这些结果可能为理解共患 MDD 和失眠症状的遗传易感性和潜在生物学途径提供一些思路。