Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis

被引:1
|
作者
Li, Ziqi [1 ]
Dang, Weijia [1 ]
Hao, Tianqi [1 ]
Zhang, Hualin [1 ]
Yao, Ziwei [1 ]
Zhou, Wenchao [1 ]
Deng, Liufei [1 ]
Yu, Hongmei [1 ]
Wen, Yalu [1 ,2 ]
Liu, Long [1 ]
机构
[1] Shanxi Med Univ, Sch Publ Hlth, Dept Hlth Stat, Taiyuan, Shanxi, Peoples R China
[2] Univ Auckland, Dept Stat, Auckland, New Zealand
来源
FRONTIERS IN PSYCHIATRY | 2023年 / 14卷
基金
中国国家自然科学基金;
关键词
major depressive disorder; COVID-19; cross-trait meta-analysis; Mendelian randomization; functional annotation; MENDELIAN RANDOMIZATION; ASSOCIATION; INFERENCE;
D O I
10.3389/fpsyt.2023.1144697
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
IntroductionThe comorbidity between major depressive disorder (MDD) and coronavirus disease of 2019 (COVID-19) related traits have long been identified in clinical settings, but their shared genetic foundation and causal relationships are unknown. Here, we investigated the genetic mechanisms behind COVID-19 related traits and MDD using the cross-trait meta-analysis, and evaluated the underlying causal relationships between MDD and 3 different COVID-19 outcomes (severe COVID-19, hospitalized COVID-19, and COVID-19 infection). MethodsIn this study, we conducted a comprehensive analysis using the most up-to-date and publicly available GWAS summary statistics to explore shared genetic etiology and the causality between MDD and COVID-19 outcomes. We first used genome-wide cross-trait meta-analysis to identify the pleiotropic genomic SNPs and the genes shared by MDD and COVID-19 outcomes, and then explore the potential bidirectional causal relationships between MDD and COVID-19 outcomes by implementing a bidirectional MR study design. We further conducted functional annotations analyses to obtain biological insight for shared genes from the results of cross-trait meta-analysis. ResultsWe have identified 71 SNPs located on 25 different genes are shared between MDD and COVID-19 outcomes. We have also found that genetic liability to MDD is a causal factor for COVID-19 outcomes. In particular, we found that MDD has causal effect on severe COVID-19 (OR = 1.832, 95% CI = 1.037-3.236) and hospitalized COVID-19 (OR = 1.412, 95% CI = 1.021-1.953). Functional analysis suggested that the shared genes are enriched in Cushing syndrome, neuroactive ligand-receptor interaction. DiscussionOur findings provide convincing evidence on shared genetic etiology and causal relationships between MDD and COVID-19 outcomes, which is crucial to prevention, and therapeutic treatment of MDD and COVID-19.
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页数:10
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