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Genetic variability in COVID-19-related genes in the Brazilian population

SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptor and transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host ACE2 and TMPRSS2 genetic backgrounds might contribute to differences in the rate of SARS-CoV-2 infection...

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Autores principales: Secolin, Rodrigo, de Araujo, Tânia K., Gonsales, Marina C., Rocha, Cristiane S., Naslavsky, Michel, Marco, Luiz De, Bicalho, Maria A. C., Vazquez, Vinicius L., Zatz, Mayana, Silva, Wilson A., Lopes-Cendes, Iscia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017521/
https://www.ncbi.nlm.nih.gov/pubmed/33824725
http://dx.doi.org/10.1038/s41439-021-00146-w
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author Secolin, Rodrigo
de Araujo, Tânia K.
Gonsales, Marina C.
Rocha, Cristiane S.
Naslavsky, Michel
Marco, Luiz De
Bicalho, Maria A. C.
Vazquez, Vinicius L.
Zatz, Mayana
Silva, Wilson A.
Lopes-Cendes, Iscia
author_facet Secolin, Rodrigo
de Araujo, Tânia K.
Gonsales, Marina C.
Rocha, Cristiane S.
Naslavsky, Michel
Marco, Luiz De
Bicalho, Maria A. C.
Vazquez, Vinicius L.
Zatz, Mayana
Silva, Wilson A.
Lopes-Cendes, Iscia
author_sort Secolin, Rodrigo
collection PubMed
description SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptor and transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host ACE2 and TMPRSS2 genetic backgrounds might contribute to differences in the rate of SARS-CoV-2 infection or COVID-19 severity. Recent studies have also shown that variants in 15 genes related to type I interferon immunity to influenza virus might predispose patients toward life-threatening COVID-19 pneumonia. Other genes (SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, IL6, CTSL, ABO, and FURIN) and HLA alleles have also been implicated in the response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 cases worldwide. We aimed to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analyzed 27 candidate genes and HLA alleles in 954 admixed Brazilian exomes. We used the information available in two public databases (http://www.bipmed.org and http://abraom.ib.usp.br/) and additional exomes from individuals born in southeast Brazil, the region of the country with the highest number of COVID-19 patients. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and gnomAD databases. We detected 395 nonsynonymous variants; of these, 325 were also found in the 1KGP and/or gnomAD. Six of these variants were previously reported to influence the rate of infection or clinical prognosis of COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025. In silico analysis revealed that seven of these variants are predicted to affect protein function. Furthermore, we identified HLA alleles previously associated with the COVID-19 response at loci DQB1 and DRB1. Our results showed genetic variability common to other populations and rare and ultrarare variants exclusively found in the Brazilian population. These findings might lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with this disease.
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spelling pubmed-80175212021-04-02 Genetic variability in COVID-19-related genes in the Brazilian population Secolin, Rodrigo de Araujo, Tânia K. Gonsales, Marina C. Rocha, Cristiane S. Naslavsky, Michel Marco, Luiz De Bicalho, Maria A. C. Vazquez, Vinicius L. Zatz, Mayana Silva, Wilson A. Lopes-Cendes, Iscia Hum Genome Var Article SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptor and transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host ACE2 and TMPRSS2 genetic backgrounds might contribute to differences in the rate of SARS-CoV-2 infection or COVID-19 severity. Recent studies have also shown that variants in 15 genes related to type I interferon immunity to influenza virus might predispose patients toward life-threatening COVID-19 pneumonia. Other genes (SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, IL6, CTSL, ABO, and FURIN) and HLA alleles have also been implicated in the response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 cases worldwide. We aimed to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analyzed 27 candidate genes and HLA alleles in 954 admixed Brazilian exomes. We used the information available in two public databases (http://www.bipmed.org and http://abraom.ib.usp.br/) and additional exomes from individuals born in southeast Brazil, the region of the country with the highest number of COVID-19 patients. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and gnomAD databases. We detected 395 nonsynonymous variants; of these, 325 were also found in the 1KGP and/or gnomAD. Six of these variants were previously reported to influence the rate of infection or clinical prognosis of COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025. In silico analysis revealed that seven of these variants are predicted to affect protein function. Furthermore, we identified HLA alleles previously associated with the COVID-19 response at loci DQB1 and DRB1. Our results showed genetic variability common to other populations and rare and ultrarare variants exclusively found in the Brazilian population. These findings might lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with this disease. Nature Publishing Group UK 2021-04-02 /pmc/articles/PMC8017521/ /pubmed/33824725 http://dx.doi.org/10.1038/s41439-021-00146-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Secolin, Rodrigo
de Araujo, Tânia K.
Gonsales, Marina C.
Rocha, Cristiane S.
Naslavsky, Michel
Marco, Luiz De
Bicalho, Maria A. C.
Vazquez, Vinicius L.
Zatz, Mayana
Silva, Wilson A.
Lopes-Cendes, Iscia
Genetic variability in COVID-19-related genes in the Brazilian population
title Genetic variability in COVID-19-related genes in the Brazilian population
title_full Genetic variability in COVID-19-related genes in the Brazilian population
title_fullStr Genetic variability in COVID-19-related genes in the Brazilian population
title_full_unstemmed Genetic variability in COVID-19-related genes in the Brazilian population
title_short Genetic variability in COVID-19-related genes in the Brazilian population
title_sort genetic variability in covid-19-related genes in the brazilian population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017521/
https://www.ncbi.nlm.nih.gov/pubmed/33824725
http://dx.doi.org/10.1038/s41439-021-00146-w
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