Cargando…

Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis

People with coronavirus disease 2019 (COVID-19) have different mortality or severity, and this clinical outcome is thought to be mainly attributed to comorbid cardiovascular diseases. However, genetic loci jointly influencing COVID-19 and cardiovascular disorders remain largely unknown. To identify...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Hongping, Li, Tong, Wen, Haiyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520490/
https://www.ncbi.nlm.nih.gov/pubmed/36187959
http://dx.doi.org/10.3389/fmicb.2022.993933
_version_ 1784799636302594048
author Guo, Hongping
Li, Tong
Wen, Haiyang
author_facet Guo, Hongping
Li, Tong
Wen, Haiyang
author_sort Guo, Hongping
collection PubMed
description People with coronavirus disease 2019 (COVID-19) have different mortality or severity, and this clinical outcome is thought to be mainly attributed to comorbid cardiovascular diseases. However, genetic loci jointly influencing COVID-19 and cardiovascular disorders remain largely unknown. To identify shared genetic loci between COVID-19 and cardiac traits, we conducted a genome-wide cross-trait meta-analysis. Firstly, from eight cardiovascular disorders, we found positive genetic correlations between COVID-19 and coronary artery disease (CAD, R(g) = 0.4075, P = 0.0031), type 2 diabetes (T2D, R(g) = 0.2320, P = 0.0043), obesity (OBE, R(g) = 0.3451, P = 0.0061), as well as hypertension (HTN, R(g) = 0.233, P = 0.0026). Secondly, we detected 10 shared genetic loci between COVID-19 and CAD, 3 loci between COVID-19 and T2D, 5 loci between COVID-19 and OBE, and 21 loci between COVID-19 and HTN, respectively. These shared genetic loci were enriched in signaling pathways and secretion pathways. In addition, Mendelian randomization analysis revealed significant causal effect of COVID-19 on CAD, OBE and HTN. Our results have revealed the genetic architecture shared by COVID-19 and CVD, and will help to shed light on the molecular mechanisms underlying the associations between COVID-19 and cardiac traits.
format Online
Article
Text
id pubmed-9520490
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95204902022-09-30 Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis Guo, Hongping Li, Tong Wen, Haiyang Front Microbiol Microbiology People with coronavirus disease 2019 (COVID-19) have different mortality or severity, and this clinical outcome is thought to be mainly attributed to comorbid cardiovascular diseases. However, genetic loci jointly influencing COVID-19 and cardiovascular disorders remain largely unknown. To identify shared genetic loci between COVID-19 and cardiac traits, we conducted a genome-wide cross-trait meta-analysis. Firstly, from eight cardiovascular disorders, we found positive genetic correlations between COVID-19 and coronary artery disease (CAD, R(g) = 0.4075, P = 0.0031), type 2 diabetes (T2D, R(g) = 0.2320, P = 0.0043), obesity (OBE, R(g) = 0.3451, P = 0.0061), as well as hypertension (HTN, R(g) = 0.233, P = 0.0026). Secondly, we detected 10 shared genetic loci between COVID-19 and CAD, 3 loci between COVID-19 and T2D, 5 loci between COVID-19 and OBE, and 21 loci between COVID-19 and HTN, respectively. These shared genetic loci were enriched in signaling pathways and secretion pathways. In addition, Mendelian randomization analysis revealed significant causal effect of COVID-19 on CAD, OBE and HTN. Our results have revealed the genetic architecture shared by COVID-19 and CVD, and will help to shed light on the molecular mechanisms underlying the associations between COVID-19 and cardiac traits. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9520490/ /pubmed/36187959 http://dx.doi.org/10.3389/fmicb.2022.993933 Text en Copyright © 2022 Guo, Li and Wen. 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 Microbiology
Guo, Hongping
Li, Tong
Wen, Haiyang
Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title_full Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title_fullStr Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title_full_unstemmed Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title_short Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
title_sort identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520490/
https://www.ncbi.nlm.nih.gov/pubmed/36187959
http://dx.doi.org/10.3389/fmicb.2022.993933
work_keys_str_mv AT guohongping identifyingsharedgeneticlocibetweencoronavirusdisease2019andcardiovasculardiseasesbasedoncrosstraitmetaanalysis
AT litong identifyingsharedgeneticlocibetweencoronavirusdisease2019andcardiovasculardiseasesbasedoncrosstraitmetaanalysis
AT wenhaiyang identifyingsharedgeneticlocibetweencoronavirusdisease2019andcardiovasculardiseasesbasedoncrosstraitmetaanalysis