Cargando…
Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis
INTRODUCTION: The 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 behin...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328439/ https://www.ncbi.nlm.nih.gov/pubmed/37426090 http://dx.doi.org/10.3389/fpsyt.2023.1144697 |
_version_ | 1785069799149142016 |
---|---|
author | Li, Ziqi Dang, Weijia Hao, Tianqi Zhang, Hualin Yao, Ziwei Zhou, Wenchao Deng, Liufei Yu, Hongmei Wen, Yalu Liu, Long |
author_facet | Li, Ziqi Dang, Weijia Hao, Tianqi Zhang, Hualin Yao, Ziwei Zhou, Wenchao Deng, Liufei Yu, Hongmei Wen, Yalu Liu, Long |
author_sort | Li, Ziqi |
collection | PubMed |
description | INTRODUCTION: The 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). METHODS: In 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. RESULTS: We 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. DISCUSSION: Our 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. |
format | Online Article Text |
id | pubmed-10328439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103284392023-07-08 Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis Li, Ziqi Dang, Weijia Hao, Tianqi Zhang, Hualin Yao, Ziwei Zhou, Wenchao Deng, Liufei Yu, Hongmei Wen, Yalu Liu, Long Front Psychiatry Psychiatry INTRODUCTION: The 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). METHODS: In 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. RESULTS: We 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. DISCUSSION: Our 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. Frontiers Media S.A. 2023-06-23 /pmc/articles/PMC10328439/ /pubmed/37426090 http://dx.doi.org/10.3389/fpsyt.2023.1144697 Text en Copyright © 2023 Li, Dang, Hao, Zhang, Yao, Zhou, Deng, Yu, Wen and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Li, Ziqi Dang, Weijia Hao, Tianqi Zhang, Hualin Yao, Ziwei Zhou, Wenchao Deng, Liufei Yu, Hongmei Wen, Yalu Liu, Long Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title | Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title_full | Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title_fullStr | Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title_full_unstemmed | Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title_short | Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
title_sort | shared genetics and causal relationships between major depressive disorder and covid-19 related traits: a large-scale genome-wide cross-trait meta-analysis |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328439/ https://www.ncbi.nlm.nih.gov/pubmed/37426090 http://dx.doi.org/10.3389/fpsyt.2023.1144697 |
work_keys_str_mv | AT liziqi sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT dangweijia sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT haotianqi sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT zhanghualin sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT yaoziwei sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT zhouwenchao sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT dengliufei sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT yuhongmei sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT wenyalu sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis AT liulong sharedgeneticsandcausalrelationshipsbetweenmajordepressivedisorderandcovid19relatedtraitsalargescalegenomewidecrosstraitmetaanalysis |