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Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity
Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we applied colocalization to compare summary statistics for 16 GWASs from the COVID-19 Host Genetics Initiative to investigate similarities and differences in their gene...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132261/ https://www.ncbi.nlm.nih.gov/pubmed/34013287 http://dx.doi.org/10.1101/2021.05.10.21256423 |
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author | D’Antonio, Matteo Arthur, Timothy D. Nguyen, Jennifer P. Matsui, Hiroko D’Antonio-Chronowska, Agnieszka Frazer, Kelly A. |
author_facet | D’Antonio, Matteo Arthur, Timothy D. Nguyen, Jennifer P. Matsui, Hiroko D’Antonio-Chronowska, Agnieszka Frazer, Kelly A. |
author_sort | D’Antonio, Matteo |
collection | PubMed |
description | Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we applied colocalization to compare summary statistics for 16 GWASs from the COVID-19 Host Genetics Initiative to investigate similarities and differences in their genetic signals. We identified 9 loci associated with susceptibility (one with two independent GWAS signals; one with an ethnicity-specific signal), 14 associated with severity (one with two independent GWAS signals; two with ethnicity-specific signals) and one harboring two discrepant GWAS signals (one for susceptibility; one for severity). Utilizing colocalization we also identified 45 GTEx tissues that had eQTL(s) for 18 genes strongly associated with GWAS signals in eleven loci (1–4 genes per locus). Some of these genes showed tissue-specific altered expression and others showed altered expression in up to 41 different tissue types. Our study provides insights into the complex molecular mechanisms underlying inherited predispositions to COVID-19-disease phenotypes. |
format | Online Article Text |
id | pubmed-8132261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-81322612021-05-20 Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity D’Antonio, Matteo Arthur, Timothy D. Nguyen, Jennifer P. Matsui, Hiroko D’Antonio-Chronowska, Agnieszka Frazer, Kelly A. medRxiv Article Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we applied colocalization to compare summary statistics for 16 GWASs from the COVID-19 Host Genetics Initiative to investigate similarities and differences in their genetic signals. We identified 9 loci associated with susceptibility (one with two independent GWAS signals; one with an ethnicity-specific signal), 14 associated with severity (one with two independent GWAS signals; two with ethnicity-specific signals) and one harboring two discrepant GWAS signals (one for susceptibility; one for severity). Utilizing colocalization we also identified 45 GTEx tissues that had eQTL(s) for 18 genes strongly associated with GWAS signals in eleven loci (1–4 genes per locus). Some of these genes showed tissue-specific altered expression and others showed altered expression in up to 41 different tissue types. Our study provides insights into the complex molecular mechanisms underlying inherited predispositions to COVID-19-disease phenotypes. Cold Spring Harbor Laboratory 2021-05-12 /pmc/articles/PMC8132261/ /pubmed/34013287 http://dx.doi.org/10.1101/2021.05.10.21256423 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 D’Antonio, Matteo Arthur, Timothy D. Nguyen, Jennifer P. Matsui, Hiroko D’Antonio-Chronowska, Agnieszka Frazer, Kelly A. Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title | Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title_full | Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title_fullStr | Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title_full_unstemmed | Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title_short | Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity |
title_sort | insights into genetic factors contributing to variability in sars-cov-2 susceptibility and covid-19 disease severity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132261/ https://www.ncbi.nlm.nih.gov/pubmed/34013287 http://dx.doi.org/10.1101/2021.05.10.21256423 |
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