SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Leveraging Genetic Data to Elucidate the Relationship Between COVID-19 and Ischemic Stroke.

Zuber, V; Cameron, A; Myserlis, EP; Bottolo, L; Fernandez-Cadenas, I; Burgess, S; Anderson, CD; Dawson, J; Gill, D (2021) Leveraging Genetic Data to Elucidate the Relationship Between COVID-19 and Ischemic Stroke. J Am Heart Assoc, 10 (22). e022433. ISSN 2047-9980 https://doi.org/10.1161/JAHA.121.022433
SGUL Authors: Gill, Dipender Preet Singh

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Background The relationship between COVID-19 and ischemic stroke is poorly understood due to potential unmeasured confounding and reverse causation. We aimed to leverage genetic data to triangulate reported associations. Methods and Results Analyses primarily focused on critical COVID-19, defined as hospitalization with COVID-19 requiring respiratory support or resulting in death. Cross-trait linkage disequilibrium score regression was used to estimate genetic correlations of critical COVID-19 with ischemic stroke, other related cardiovascular outcomes, and risk factors common to both COVID-19 and cardiovascular disease (body mass index, smoking and chronic inflammation, estimated using C-reactive protein). Mendelian randomization analysis was performed to investigate whether liability to critical COVID-19 was associated with increased risk of any cardiovascular outcome for which genetic correlation was identified. There was evidence of genetic correlation between critical COVID-19 and ischemic stroke (rg=0.29, false discovery rate [FDR]=0.012), body mass index (rg=0.21, FDR=0.00002), and C-reactive protein (rg=0.20, FDR=0.00035), but no other trait investigated. In Mendelian randomization, liability to critical COVID-19 was associated with increased risk of ischemic stroke (odds ratio [OR] per logOR increase in genetically predicted critical COVID-19 liability 1.03, 95% CI 1.00-1.06, P-value=0.03). Similar estimates were obtained for ischemic stroke subtypes. Consistent estimates were also obtained when performing statistical sensitivity analyses more robust to the inclusion of pleiotropic variants, including multivariable Mendelian randomization analyses adjusting for potential genetic confounding through body mass index, smoking, and chronic inflammation. There was no evidence to suggest that genetic liability to ischemic stroke increased the risk of critical COVID-19. Conclusions These data support that liability to critical COVID-19 is associated with an increased risk of ischemic stroke. The host response predisposing to severe COVID-19 is likely to increase the risk of ischemic stroke, independent of other potentially mitigating risk factors.

Item Type: Article
Additional Information: Copyright © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: COVID‐19, Mendelian randomization, cross‐trait linkage disequilibrium score regression, ischemic stroke, Body Mass Index, Brain Ischemia, C-Reactive Protein, COVID-19, Genome-Wide Association Study, Humans, Inflammation, Ischemic Stroke, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Smoking, Humans, Brain Ischemia, Inflammation, C-Reactive Protein, Body Mass Index, Risk Factors, Smoking, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Mendelian Randomization Analysis, COVID-19, Ischemic Stroke
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: J Am Heart Assoc
ISSN: 2047-9980
Language: eng
Dates:
DateEvent
16 November 2021Published
10 November 2021Published Online
23 September 2021Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
R01 NS103924NINDS NIH HHSUNSPECIFIED
U01 NS069763NINDS NIH HHSUNSPECIFIED
MC_PC_17114Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
101016072Horizon 2020UNSPECIFIED
MR/S02638X/1Medical Research CouncilUNSPECIFIED
EP/N510129/1Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
204623/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
MC_UU_00002/7Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
BRC‐1215‐20014Biomedical Research CentreUNSPECIFIED
RE/18/4/34215British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
CL‐2020‐16‐001National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
PubMed ID: 34755518
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/113913
Publisher's version: https://doi.org/10.1161/JAHA.121.022433

Actions (login required)

Edit Item Edit Item