Cargando…

Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke

BACKGROUND: The relationship between coronavirus disease 2019 (Covid-19) and ischemic stroke is poorly defined. We aimed to leverage genetic data to investigate reported associations. METHODS: Genetic association estimates for liability to Covid-19 and cardiovascular traits were obtained from large-...

Descripción completa

Detalles Bibliográficos
Autores principales: Zuber, Verena, Cameron, Alan, Myserlis, Evangelos P., Bottolo, Leonardo, Fernandez-Cadenas, Israel, Burgess, Stephen, Anderson, Christopher D., Dawson, Jesse, Gill, Dipender
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941632/
https://www.ncbi.nlm.nih.gov/pubmed/33688662
http://dx.doi.org/10.1101/2021.02.25.21252441
_version_ 1783662166787751936
author Zuber, Verena
Cameron, Alan
Myserlis, Evangelos P.
Bottolo, Leonardo
Fernandez-Cadenas, Israel
Burgess, Stephen
Anderson, Christopher D.
Dawson, Jesse
Gill, Dipender
author_facet Zuber, Verena
Cameron, Alan
Myserlis, Evangelos P.
Bottolo, Leonardo
Fernandez-Cadenas, Israel
Burgess, Stephen
Anderson, Christopher D.
Dawson, Jesse
Gill, Dipender
author_sort Zuber, Verena
collection PubMed
description BACKGROUND: The relationship between coronavirus disease 2019 (Covid-19) and ischemic stroke is poorly defined. We aimed to leverage genetic data to investigate reported associations. METHODS: Genetic association estimates for liability to Covid-19 and cardiovascular traits were obtained from large-scale consortia. 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 of the cardiovascular outcomes for which genetic correlation was identified. RESULTS: There was evidence of genetic correlation between critical Covid-19 and ischemic stroke (r(g)=0.29, FDR p-value=4.65×10(−3)), body mass index (r(g)=0.21, FDR-p-value=6.26×10(−6)) and C-reactive protein (r(g)=0.20, FDR-p-value=1.35×10(−4)), but none of the other considered traits. In Mendelian randomization analysis, 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% confidence interval 1.00–1.06, p-value=0.03). Similar estimates were obtained when considering 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.
format Online
Article
Text
id pubmed-7941632
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Cold Spring Harbor Laboratory
record_format MEDLINE/PubMed
spelling pubmed-79416322021-03-10 Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke Zuber, Verena Cameron, Alan Myserlis, Evangelos P. Bottolo, Leonardo Fernandez-Cadenas, Israel Burgess, Stephen Anderson, Christopher D. Dawson, Jesse Gill, Dipender medRxiv Article BACKGROUND: The relationship between coronavirus disease 2019 (Covid-19) and ischemic stroke is poorly defined. We aimed to leverage genetic data to investigate reported associations. METHODS: Genetic association estimates for liability to Covid-19 and cardiovascular traits were obtained from large-scale consortia. 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 of the cardiovascular outcomes for which genetic correlation was identified. RESULTS: There was evidence of genetic correlation between critical Covid-19 and ischemic stroke (r(g)=0.29, FDR p-value=4.65×10(−3)), body mass index (r(g)=0.21, FDR-p-value=6.26×10(−6)) and C-reactive protein (r(g)=0.20, FDR-p-value=1.35×10(−4)), but none of the other considered traits. In Mendelian randomization analysis, 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% confidence interval 1.00–1.06, p-value=0.03). Similar estimates were obtained when considering 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. Cold Spring Harbor Laboratory 2021-03-01 /pmc/articles/PMC7941632/ /pubmed/33688662 http://dx.doi.org/10.1101/2021.02.25.21252441 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Zuber, Verena
Cameron, Alan
Myserlis, Evangelos P.
Bottolo, Leonardo
Fernandez-Cadenas, Israel
Burgess, Stephen
Anderson, Christopher D.
Dawson, Jesse
Gill, Dipender
Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title_full Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title_fullStr Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title_full_unstemmed Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title_short Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
title_sort leveraging genetic data to elucidate the relationship between covid-19 and ischemic stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941632/
https://www.ncbi.nlm.nih.gov/pubmed/33688662
http://dx.doi.org/10.1101/2021.02.25.21252441
work_keys_str_mv AT zuberverena leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT cameronalan leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT myserlisevangelosp leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT bottololeonardo leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT fernandezcadenasisrael leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT burgessstephen leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT andersonchristopherd leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT dawsonjesse leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke
AT gilldipender leveraginggeneticdatatoelucidatetherelationshipbetweencovid19andischemicstroke