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Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity

Background: Asthma is observationally associated with an increased risk of COVID-19, but the causality remains unclear. We aim to determine whether there is a casual role of asthma in susceptibility to SARS-CoV-2 infection or COVID-19 severity. Methods: Instrumental variables (IVs) for asthma and mo...

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Autores principales: Qiu, Li-Juan, Yin, Kang-Jia, Pan, Gui-Xia, Ni, Jing, Wang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784851/
https://www.ncbi.nlm.nih.gov/pubmed/35082829
http://dx.doi.org/10.3389/fgene.2021.762697
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author Qiu, Li-Juan
Yin, Kang-Jia
Pan, Gui-Xia
Ni, Jing
Wang, Bin
author_facet Qiu, Li-Juan
Yin, Kang-Jia
Pan, Gui-Xia
Ni, Jing
Wang, Bin
author_sort Qiu, Li-Juan
collection PubMed
description Background: Asthma is observationally associated with an increased risk of COVID-19, but the causality remains unclear. We aim to determine whether there is a casual role of asthma in susceptibility to SARS-CoV-2 infection or COVID-19 severity. Methods: Instrumental variables (IVs) for asthma and moderate-to-severe asthma were obtained from publicly available summary statistics from the most recent and largest genome-wide association study (GWAS), including 394 283 and 57 695 participants of European ancestry, respectively. The corresponding data for COVID-19 susceptibility, hospitalization and severe-disease were derived from the COVID-19 Host Genetics Initiative GWAS meta-analysis of up to 1 683 768 individuals of European descent. Causality was inferred between correlated traits by Mendelian Randomization analyses. Inverse-variance weighted method was used as the primary MR estimates and multiple alternate approaches and several sensitivity analyses were also conducted. Results: Our MR analysis revealed no causal effects of asthma on COVID-19 susceptibility, hospitalization or severe disease, with odds ratio (OR) of 0.994 (95% CI: 0.962–1.027), 1.020 (95% CI: 0.955–1.089), and 0.929 (95% CI: 0.836–1.032), respectively. Furthermore, using genetic variants for moderate-to-severe asthma, a similar pattern of results was observed for COVID-19 susceptibility (OR: 0.988, 95% CI: 0.946–1.031), hospitalization (OR: 0.967, 95% CI: 0.906–1.031), and severe disease (OR: 0.911, 95% CI: 0.823–1.009). The association of asthma and moderate-to-severe asthma with COVID-19 was overall robust to sensitivity analyses. Conclusion: Genetically predicted asthma was not associated with susceptibility to, or severity of, COVID-19 disease, indicating that asthma is unlikely to be a causal factor in the development of COVID-19.
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spelling pubmed-87848512022-01-25 Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity Qiu, Li-Juan Yin, Kang-Jia Pan, Gui-Xia Ni, Jing Wang, Bin Front Genet Genetics Background: Asthma is observationally associated with an increased risk of COVID-19, but the causality remains unclear. We aim to determine whether there is a casual role of asthma in susceptibility to SARS-CoV-2 infection or COVID-19 severity. Methods: Instrumental variables (IVs) for asthma and moderate-to-severe asthma were obtained from publicly available summary statistics from the most recent and largest genome-wide association study (GWAS), including 394 283 and 57 695 participants of European ancestry, respectively. The corresponding data for COVID-19 susceptibility, hospitalization and severe-disease were derived from the COVID-19 Host Genetics Initiative GWAS meta-analysis of up to 1 683 768 individuals of European descent. Causality was inferred between correlated traits by Mendelian Randomization analyses. Inverse-variance weighted method was used as the primary MR estimates and multiple alternate approaches and several sensitivity analyses were also conducted. Results: Our MR analysis revealed no causal effects of asthma on COVID-19 susceptibility, hospitalization or severe disease, with odds ratio (OR) of 0.994 (95% CI: 0.962–1.027), 1.020 (95% CI: 0.955–1.089), and 0.929 (95% CI: 0.836–1.032), respectively. Furthermore, using genetic variants for moderate-to-severe asthma, a similar pattern of results was observed for COVID-19 susceptibility (OR: 0.988, 95% CI: 0.946–1.031), hospitalization (OR: 0.967, 95% CI: 0.906–1.031), and severe disease (OR: 0.911, 95% CI: 0.823–1.009). The association of asthma and moderate-to-severe asthma with COVID-19 was overall robust to sensitivity analyses. Conclusion: Genetically predicted asthma was not associated with susceptibility to, or severity of, COVID-19 disease, indicating that asthma is unlikely to be a causal factor in the development of COVID-19. Frontiers Media S.A. 2022-01-10 /pmc/articles/PMC8784851/ /pubmed/35082829 http://dx.doi.org/10.3389/fgene.2021.762697 Text en Copyright © 2022 Qiu, Yin, Pan, Ni and Wang. 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 Genetics
Qiu, Li-Juan
Yin, Kang-Jia
Pan, Gui-Xia
Ni, Jing
Wang, Bin
Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title_full Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title_fullStr Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title_full_unstemmed Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title_short Non-Causal Effects of Asthma on COVID-19 Susceptibility and Severity
title_sort non-causal effects of asthma on covid-19 susceptibility and severity
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784851/
https://www.ncbi.nlm.nih.gov/pubmed/35082829
http://dx.doi.org/10.3389/fgene.2021.762697
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