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Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data
BACKGROUND: The severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly heterogeneous. Studies have reported that males and some ethnic groups are at increased risk of death from COVID-19, which implies that individual risk...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856608/ https://www.ncbi.nlm.nih.gov/pubmed/33536081 http://dx.doi.org/10.1186/s40246-021-00306-7 |
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author | Hu, Jianchang Li, Cai Wang, Shiying Li, Ting Zhang, Heping |
author_facet | Hu, Jianchang Li, Cai Wang, Shiying Li, Ting Zhang, Heping |
author_sort | Hu, Jianchang |
collection | PubMed |
description | BACKGROUND: The severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly heterogeneous. Studies have reported that males and some ethnic groups are at increased risk of death from COVID-19, which implies that individual risk of death might be influenced by host genetic factors. METHODS: In this project, we consider the mortality as the trait of interest and perform a genome-wide association study (GWAS) of data for 1778 infected cases (445 deaths, 25.03%) distributed by the UK Biobank. Traditional GWAS fails to identify any genome-wide significant genetic variants from this dataset. To enhance the power of GWAS and account for possible multi-loci interactions, we adopt the concept of super variant for the detection of genetic factors. A discovery-validation procedure is used for verifying the potential associations. RESULTS: We find 8 super variants that are consistently identified across multiple replications as susceptibility loci for COVID-19 mortality. The identified risk factors on chromosomes 2, 6, 7, 8, 10, 16, and 17 contain genetic variants and genes related to cilia dysfunctions (DNAH7 and CLUAP1), cardiovascular diseases (DES and SPEG), thromboembolic disease (STXBP5), mitochondrial dysfunctions (TOMM7), and innate immune system (WSB1). It is noteworthy that DNAH7 has been reported recently as the most downregulated gene after infecting human bronchial epithelial cells with SARS-CoV-2. CONCLUSIONS: Eight genetic variants are identified to significantly increase the risk of COVID-19 mortality among the patients with white British ancestry. These findings may provide timely clues and potential directions for better understanding the molecular pathogenesis of COVID-19 and the genetic basis of heterogeneous susceptibility, with potential impact on new therapeutic options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-021-00306-7. |
format | Online Article Text |
id | pubmed-7856608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78566082021-02-03 Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data Hu, Jianchang Li, Cai Wang, Shiying Li, Ting Zhang, Heping Hum Genomics Primary Research BACKGROUND: The severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly heterogeneous. Studies have reported that males and some ethnic groups are at increased risk of death from COVID-19, which implies that individual risk of death might be influenced by host genetic factors. METHODS: In this project, we consider the mortality as the trait of interest and perform a genome-wide association study (GWAS) of data for 1778 infected cases (445 deaths, 25.03%) distributed by the UK Biobank. Traditional GWAS fails to identify any genome-wide significant genetic variants from this dataset. To enhance the power of GWAS and account for possible multi-loci interactions, we adopt the concept of super variant for the detection of genetic factors. A discovery-validation procedure is used for verifying the potential associations. RESULTS: We find 8 super variants that are consistently identified across multiple replications as susceptibility loci for COVID-19 mortality. The identified risk factors on chromosomes 2, 6, 7, 8, 10, 16, and 17 contain genetic variants and genes related to cilia dysfunctions (DNAH7 and CLUAP1), cardiovascular diseases (DES and SPEG), thromboembolic disease (STXBP5), mitochondrial dysfunctions (TOMM7), and innate immune system (WSB1). It is noteworthy that DNAH7 has been reported recently as the most downregulated gene after infecting human bronchial epithelial cells with SARS-CoV-2. CONCLUSIONS: Eight genetic variants are identified to significantly increase the risk of COVID-19 mortality among the patients with white British ancestry. These findings may provide timely clues and potential directions for better understanding the molecular pathogenesis of COVID-19 and the genetic basis of heterogeneous susceptibility, with potential impact on new therapeutic options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-021-00306-7. BioMed Central 2021-02-03 /pmc/articles/PMC7856608/ /pubmed/33536081 http://dx.doi.org/10.1186/s40246-021-00306-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Primary Research Hu, Jianchang Li, Cai Wang, Shiying Li, Ting Zhang, Heping Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title | Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title_full | Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title_fullStr | Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title_full_unstemmed | Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title_short | Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data |
title_sort | genetic variants are identified to increase risk of covid-19 related mortality from uk biobank data |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856608/ https://www.ncbi.nlm.nih.gov/pubmed/33536081 http://dx.doi.org/10.1186/s40246-021-00306-7 |
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