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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s).
2022
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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. |
format | Online Article Text |
id | pubmed-9637519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). |
record_format | MEDLINE/PubMed |
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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