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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...

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Autores principales: Kotsev, Stanislav Vasilev, Miteva, Dimitrina, Krayselska, Stanislava, Shopova, Martina, Pishmisheva-Peleva, Maria, Stanilova, Spaska Angelova, Velikova, Tsvetelina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
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.
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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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