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Hypotheses and facts for genetic factors related to severe COVID-19
Genome-wide association analysis allows the identification of potential candidate genes involved in the development of severe coronavirus disease 2019 (COVID-19). Hence, it seems that genetics matters here, as well. Nevertheless, the virus's nature, including its RNA structure, determines the r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316875/ https://www.ncbi.nlm.nih.gov/pubmed/34367930 http://dx.doi.org/10.5501/wjv.v10.i4.137 |
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author | Kotsev, Stanislav Vasilev Miteva, Dimitrina Krayselska, Stanislava Shopova, Martina Pishmisheva-Peleva, Maria Stanilova, Spaska Angelova Velikova, Tsvetelina |
author_facet | Kotsev, Stanislav Vasilev Miteva, Dimitrina Krayselska, Stanislava Shopova, Martina Pishmisheva-Peleva, Maria Stanilova, Spaska Angelova Velikova, Tsvetelina |
author_sort | Kotsev, Stanislav Vasilev |
collection | PubMed |
description | Genome-wide association analysis allows the identification of potential candidate genes involved in the development of severe coronavirus disease 2019 (COVID-19). Hence, it seems that genetics matters here, as well. Nevertheless, the virus's nature, including its RNA structure, determines the rate of mutations leading to new viral strains with all epidemiological and clinical consequences. Given these observations, we herein comment on the current hypotheses about the possible role of the genes in association with COVID-19 severity. We discuss some of the major candidate genes that have been identified as potential genetic factors associated with the COVID-19 severity and infection susceptibility: HLA, ABO, ACE2, TLR7, ApoE, TYK2, OAS, DPP9, IFNAR2, CCR2, etc. Further study of genes and genetic variants will be of great benefit for the prevention and assessment of the individual risk and disease severity in different populations. These scientific data will serve as a basis for the development of clinically applicable diagnostic and prognostic tests for patients at high risk of COVID-19. |
format | Online Article Text |
id | pubmed-8316875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-83168752021-08-05 Hypotheses and facts for genetic factors related to severe COVID-19 Kotsev, Stanislav Vasilev Miteva, Dimitrina Krayselska, Stanislava Shopova, Martina Pishmisheva-Peleva, Maria Stanilova, Spaska Angelova Velikova, Tsvetelina World J Virol Review Genome-wide association analysis allows the identification of potential candidate genes involved in the development of severe coronavirus disease 2019 (COVID-19). Hence, it seems that genetics matters here, as well. Nevertheless, the virus's nature, including its RNA structure, determines the rate of mutations leading to new viral strains with all epidemiological and clinical consequences. Given these observations, we herein comment on the current hypotheses about the possible role of the genes in association with COVID-19 severity. We discuss some of the major candidate genes that have been identified as potential genetic factors associated with the COVID-19 severity and infection susceptibility: HLA, ABO, ACE2, TLR7, ApoE, TYK2, OAS, DPP9, IFNAR2, CCR2, etc. Further study of genes and genetic variants will be of great benefit for the prevention and assessment of the individual risk and disease severity in different populations. These scientific data will serve as a basis for the development of clinically applicable diagnostic and prognostic tests for patients at high risk of COVID-19. Baishideng Publishing Group Inc 2021-07-25 2021-07-25 /pmc/articles/PMC8316875/ /pubmed/34367930 http://dx.doi.org/10.5501/wjv.v10.i4.137 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Review Kotsev, Stanislav Vasilev Miteva, Dimitrina Krayselska, Stanislava Shopova, Martina Pishmisheva-Peleva, Maria Stanilova, Spaska Angelova Velikova, Tsvetelina Hypotheses and facts for genetic factors related to severe COVID-19 |
title | Hypotheses and facts for genetic factors related to severe COVID-19 |
title_full | Hypotheses and facts for genetic factors related to severe COVID-19 |
title_fullStr | Hypotheses and facts for genetic factors related to severe COVID-19 |
title_full_unstemmed | Hypotheses and facts for genetic factors related to severe COVID-19 |
title_short | Hypotheses and facts for genetic factors related to severe COVID-19 |
title_sort | hypotheses and facts for genetic factors related to severe covid-19 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316875/ https://www.ncbi.nlm.nih.gov/pubmed/34367930 http://dx.doi.org/10.5501/wjv.v10.i4.137 |
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