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

Author:

Zuber Verena12ORCID,Cameron Alan3ORCID,Myserlis Evangelos P.456ORCID,Bottolo Leonardo789ORCID,Fernandez‐Cadenas Israel10ORCID,Burgess Stephen911ORCID,Anderson Christopher D.5612ORCID,Dawson Jesse3,Gill Dipender1131415ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK

2. Dementia Research Institute at Imperial College London London UK

3. Institute of Cardiovascular and Medical SciencesUniversity of Glasgow UK

4. Center for Genomic Medicine Massachusetts General Hospital Boston MA

5. McCance Center for Brain Health Massachusetts General Hospital Boston MA

6. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA

7. Department of Medical Genetics School of Clinical Medicine University of Cambridge UK

8. The Alan Turing Institute London UK

9. Medical Research Council Biostatistics Unit University of Cambridge UK

10. Stroke Pharmacogenomics and Genetics Group Biomedical Research Institute Sant Pau Spain

11. Department of Public Health and Primary Care Cardiovascular Epidemiology Unit University of Cambridge UK

12. Department of Neurology Brigham and Women’s Hospital Boston MA

13. Clinical Pharmacology and Therapeutics Section Institute of Medical and Biomedical Education and Institute for Infection and ImmunitySt George’sUniversity of London London UK

14. Clinical Pharmacology Group, Pharmacy and Medicines Directorate St George’s University Hospitals NHS Foundation Trust London UK

15. Novo Nordisk Research Centre Oxford Oxford UK

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 g =0.29, false discovery rate [FDR]=0.012), body mass index (r g =0.21, FDR=0.00002), and C‐reactive protein (r g =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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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