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Mendelian randomization analysis provides causality of smoking on the expression of ACE2, a putative SARS-CoV-2 receptor.

Authors :
Liu H
Xin J
Cai S
Jiang X
Source :
ELife [Elife] 2021 Jul 06; Vol. 10. Date of Electronic Publication: 2021 Jul 06.
Publication Year :
2021

Abstract

Background: To understand a causal role of modifiable lifestyle factors in angiotensin-converting enzyme 2 (ACE2) expression (a putative severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] receptor) across 44 human tissues/organs, and in coronavirus disease 2019 (COVID-19) susceptibility and severity, we conducted a phenome-wide two-sample Mendelian randomization (MR) study.<br />Methods: More than 500 genetic variants were used as instrumental variables to predict smoking and alcohol consumption. Inverse-variance weighted approach was adopted as the primary method to estimate a causal association, while MR-Egger regression, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) were performed to identify potential horizontal pleiotropy.<br />Results: We found that genetically predicted smoking intensity significantly increased ACE2 expression in thyroid (β=1.468, p=1.8×10 <superscript>-8</superscript> ), and increased ACE2 expression in adipose, brain, colon, and liver with nominal significance. Additionally, genetically predicted smoking initiation significantly increased the risk of COVID-19 onset (odds ratio=1.14, p=8.7×10 <superscript>-5</superscript> ). No statistically significant result was observed for alcohol consumption.<br />Conclusions: Our work demonstrates an important role of smoking, measured by both status and intensity, in the susceptibility to COVID-19.<br />Funding: XJ is supported by research grants from the Swedish Research Council (VR-2018-02247) and Swedish Research Council for Health, Working Life and Welfare (FORTE-2020-00884).<br />Competing Interests: HL, JX, SC, XJ No competing interests declared<br /> (© 2021, Liu et al.)

Details

Language :
English
ISSN :
2050-084X
Volume :
10
Database :
MEDLINE
Journal :
ELife
Publication Type :
Academic Journal
Accession number :
34227468
Full Text :
https://doi.org/10.7554/eLife.64188