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Shared genetic influences between blood analyte levels and risk of severe COVID-19

Genome-wide association studies (GWASs) show that genetic factors contribute to the risk of severe coronavirus disease 2019 (COVID-19) and blood analyte levels. Here, we utilize GWAS summary statistics to study the shared genetic influences (pleiotropy) between severe COVID-19 and 344 blood analytes...

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Autores principales: Tanha, Hamzeh M., Sathyanarayanan, Anita, Mehta, Divya, Nyholt, Dale R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637519/
https://www.ncbi.nlm.nih.gov/pubmed/36400032
http://dx.doi.org/10.1016/j.celrep.2022.111708
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author Tanha, Hamzeh M.
Sathyanarayanan, Anita
Mehta, Divya
Nyholt, Dale R.
author_facet Tanha, Hamzeh M.
Sathyanarayanan, Anita
Mehta, Divya
Nyholt, Dale R.
author_sort Tanha, Hamzeh M.
collection PubMed
description Genome-wide association studies (GWASs) show that genetic factors contribute to the risk of severe coronavirus disease 2019 (COVID-19) and blood analyte levels. Here, we utilize GWAS summary statistics to study the shared genetic influences (pleiotropy) between severe COVID-19 and 344 blood analytes at the genome, gene, and single-nucleotide polymorphism (SNP) levels. Our pleiotropy analyses genetically link blood levels of 71 analytes to severe COVID-19 in at least one of the three levels of investigation—suggesting shared biological mechanisms or causal relationships. Six analytes (alanine aminotransferase, alkaline phosphatase, apolipoprotein B, C-reactive protein, triglycerides, and urate) display evidence of pleiotropy with severe COVID-19 at all three levels. Causality analyses indicate that higher triglycerides levels causally increase the risk of severe COVID-19, thereby providing important support for the use of lipid-lowering drugs such as statins and fibrates to prevent severe COVID-19.
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spelling pubmed-96375192022-11-07 Shared genetic influences between blood analyte levels and risk of severe COVID-19 Tanha, Hamzeh M. Sathyanarayanan, Anita Mehta, Divya Nyholt, Dale R. Cell Rep Report Genome-wide association studies (GWASs) show that genetic factors contribute to the risk of severe coronavirus disease 2019 (COVID-19) and blood analyte levels. Here, we utilize GWAS summary statistics to study the shared genetic influences (pleiotropy) between severe COVID-19 and 344 blood analytes at the genome, gene, and single-nucleotide polymorphism (SNP) levels. Our pleiotropy analyses genetically link blood levels of 71 analytes to severe COVID-19 in at least one of the three levels of investigation—suggesting shared biological mechanisms or causal relationships. Six analytes (alanine aminotransferase, alkaline phosphatase, apolipoprotein B, C-reactive protein, triglycerides, and urate) display evidence of pleiotropy with severe COVID-19 at all three levels. Causality analyses indicate that higher triglycerides levels causally increase the risk of severe COVID-19, thereby providing important support for the use of lipid-lowering drugs such as statins and fibrates to prevent severe COVID-19. The Author(s). 2022-11-22 2022-11-07 /pmc/articles/PMC9637519/ /pubmed/36400032 http://dx.doi.org/10.1016/j.celrep.2022.111708 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Report
Tanha, Hamzeh M.
Sathyanarayanan, Anita
Mehta, Divya
Nyholt, Dale R.
Shared genetic influences between blood analyte levels and risk of severe COVID-19
title Shared genetic influences between blood analyte levels and risk of severe COVID-19
title_full Shared genetic influences between blood analyte levels and risk of severe COVID-19
title_fullStr Shared genetic influences between blood analyte levels and risk of severe COVID-19
title_full_unstemmed Shared genetic influences between blood analyte levels and risk of severe COVID-19
title_short Shared genetic influences between blood analyte levels and risk of severe COVID-19
title_sort shared genetic influences between blood analyte levels and risk of severe covid-19
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637519/
https://www.ncbi.nlm.nih.gov/pubmed/36400032
http://dx.doi.org/10.1016/j.celrep.2022.111708
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