Leveraging genetic data to elucidate the relationship between COVID-19 and ischemic stroke
Zuber, Verena (Dementia Research Institute at Imperial College London)
Cameron, Alan (Institute of Cardiovascular and Medical Sciences. University of Glasgow)
Myserlis, Evangelos Pavlos (Program in Medical and Population Genetics. Broad Institute of MIT and Harvard)
Bottolo, Leonardo (Medical Research Council Biostatistics Unit. University of Cambridge)
Fernandez-Cadenas, Israel (Institut d'Investigació Biomèdica Sant Pau)
Burgess, Stephen (Department of Public Health and Primary Care. Cardiovascular Epidemiology Unit. University of Cambridge)
Anderson, Christopher (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica))
Dawson, Jesse (Institute of Cardiovascular and Medical Sciences. University of Glasgow)
Gill, Dipender (Novo Nordisk Research Centre Oxford)
Universitat Autònoma de Barcelona

Date:	2021
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 (r =0. 29, false discovery rate [FDR]=0. 012), body mass index (r =0. 21, FDR=0. 00002), and C-reactive protein (r =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 sug-gest 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.
Grants:	European Commission 101016072
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	COVID-19 ; Cross-trait linkage disequilibrium score regression ; Ischemic stroke ; Mendelian randomization
Published in:	Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol. 10 Núm. 22 (11 2021) , p. e022433, ISSN 2047-9980

DOI: 10.1161/JAHA.121.022433
PMID: 34755518

24 p, 1.3 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Recerca Sant Pau
Articles > Research articles
Articles > Published articles