The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations

Detalhes bibliográficos
Autor(a) principal: Astana, Lucas Favacho
Data de Publicação: 2022
Outros Autores: Silva, Thays Amâncio, Gellen, Laura Patrícia Albarello, Vieira, Giovana Miranda, Assunção, Letícia Almeida de, Leitão, Luciana Pereira Colares, Silva, Natasha Monte da, Coelho, Rita de Cássia Calderaro, Alcântara, Angélica Leite de, Vinagre, Lui Wallacy Morikawa Souza, Rodrigues, Juliana Carla Gomes, Leal, Diana Feio da Veiga Borges, Fernandes, Marianne Rodrigues Fernandes, Souza, Sandro José de, Kroll, José Eduardo, Santos, André Mauricio Riberio dos, Burbano, Rommel Mario Rodríguez Burbano, Guerreiro, João Farias, Assumpção, Paulo Pimentel de, Santos, Ândrea Campos Ribeiro dos, Santos, Sidney Emanuel Batista dos, Santos, Ney Pereira Carneiro dos.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/47075
https://doi.org/10.3390/jpm12040554
Resumo: Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, and ABO genes with the risk of severe forms of COVID-19 in Amazonian Native Americans, and to compare the frequencies with continental populations. The study population was composed of 64 Amerindians from the Amazon region of northern Brazil. The difference in frequencies between the populations was analyzed using Fisher’s exact test, and the results were significant when p ≤ 0.05. We investigated 64 polymorphisms in 7 genes; we studied 47 genetic variants that were new or had impact predictions of high, moderate, or modifier. We identified 15 polymorphisms with moderate impact prediction in 4 genes (ABO, CXCR6, FYCO1, and SLC6A20). Among the variants analyzed, 18 showed significant differences in allele frequency in the NAM population when compared to others. We reported two new genetic variants with modifier impact in the Amazonian population that could be studied to validate the possible associations with COVID-19 outcomes. The genomic profile of Amazonian Native Americans may be associated with protection from severe forms of COVID-19. This work provides genomic data that may help forthcoming studies to improve COVID-19 outcomes
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spelling Astana, Lucas FavachoSilva, Thays AmâncioGellen, Laura Patrícia AlbarelloVieira, Giovana MirandaAssunção, Letícia Almeida deLeitão, Luciana Pereira ColaresSilva, Natasha Monte daCoelho, Rita de Cássia CalderaroAlcântara, Angélica Leite deVinagre, Lui Wallacy Morikawa SouzaRodrigues, Juliana Carla GomesLeal, Diana Feio da Veiga BorgesFernandes, Marianne Rodrigues FernandesSouza, Sandro José deKroll, José EduardoSantos, André Mauricio Riberio dosBurbano, Rommel Mario Rodríguez BurbanoGuerreiro, João FariasAssumpção, Paulo Pimentel deSantos, Ândrea Campos Ribeiro dosSantos, Sidney Emanuel Batista dosSantos, Ney Pereira Carneiro dos.2022-05-02T17:22:37Z2022-05-02T17:22:37Z2022-04-01ASTANA, Lucas Favacho; SILVA, Thays Amâncio; GELLEN, Laura Patrícia Albarello; VIEIRA, Giovana Miranda; ASSUNÇÃO, Letícia Almeida de; LEITÃO, Luciana Pereira Colares; SILVA, Natasha Monte da; COELHO, Rita de Cássia Calderaro; ALCÂNTARA, Angélica Leite de; VINAGRE, Lui Wallacy Morikawa Souza; RODRIGUES, Juliana Carla Gomes; LEAL, Diana Feio da Veiga Borges; FERNANDES, Marianne Rodrigues Fernandes; SOUZA, Sandro José de; KROLL, José Eduardo; SANTOS, André Mauricio Riberio dos; BURBANO, Rommel Mario Rodríguez Burbano; GUERREIRO, João Farias; ASSUMPÇÃO, Paulo Pimentel de; SANTOS, Ândrea Campos Ribeiro dos; SANTOS, Sidney Emanuel Batista dos; SANTOS, Ney Pereira Carneiro dos. The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations. Journal Of Personalized Medicine, Basiléia (Suíça), v. 12, n. 4, p. 1-12, abr. 2022. Disponível em: https://www.mdpi.com/2075-4426/12/4/554/htm. Acesso em: 29 abr. 2022.https://repositorio.ufrn.br/handle/123456789/47075https://doi.org/10.3390/jpm12040554MDPIAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessCOVID-19GeneRisk factorGenetic variantThe genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, and ABO genes with the risk of severe forms of COVID-19 in Amazonian Native Americans, and to compare the frequencies with continental populations. The study population was composed of 64 Amerindians from the Amazon region of northern Brazil. The difference in frequencies between the populations was analyzed using Fisher’s exact test, and the results were significant when p ≤ 0.05. We investigated 64 polymorphisms in 7 genes; we studied 47 genetic variants that were new or had impact predictions of high, moderate, or modifier. We identified 15 polymorphisms with moderate impact prediction in 4 genes (ABO, CXCR6, FYCO1, and SLC6A20). Among the variants analyzed, 18 showed significant differences in allele frequency in the NAM population when compared to others. We reported two new genetic variants with modifier impact in the Amazonian population that could be studied to validate the possible associations with COVID-19 outcomes. The genomic profile of Amazonian Native Americans may be associated with protection from severe forms of COVID-19. This work provides genomic data that may help forthcoming studies to improve COVID-19 outcomesengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALGenomicProfileAssociated_Souza_2022.pdfGenomicProfileAssociated_Souza_2022.pdfGenomicProfileAssociated_Souza_2022application/pdf648904https://repositorio.ufrn.br/bitstream/123456789/47075/1/GenomicProfileAssociated_Souza_2022.pdffb9dedf1dae5aa6cea11955ac2103a40MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/47075/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/47075/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/470752022-05-02 14:22:37.397oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-05-02T17:22:37Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
title The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
spellingShingle The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
Astana, Lucas Favacho
COVID-19
Gene
Risk factor
Genetic variant
title_short The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
title_full The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
title_fullStr The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
title_full_unstemmed The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
title_sort The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
author Astana, Lucas Favacho
author_facet Astana, Lucas Favacho
Silva, Thays Amâncio
Gellen, Laura Patrícia Albarello
Vieira, Giovana Miranda
Assunção, Letícia Almeida de
Leitão, Luciana Pereira Colares
Silva, Natasha Monte da
Coelho, Rita de Cássia Calderaro
Alcântara, Angélica Leite de
Vinagre, Lui Wallacy Morikawa Souza
Rodrigues, Juliana Carla Gomes
Leal, Diana Feio da Veiga Borges
Fernandes, Marianne Rodrigues Fernandes
Souza, Sandro José de
Kroll, José Eduardo
Santos, André Mauricio Riberio dos
Burbano, Rommel Mario Rodríguez Burbano
Guerreiro, João Farias
Assumpção, Paulo Pimentel de
Santos, Ândrea Campos Ribeiro dos
Santos, Sidney Emanuel Batista dos
Santos, Ney Pereira Carneiro dos.
author_role author
author2 Silva, Thays Amâncio
Gellen, Laura Patrícia Albarello
Vieira, Giovana Miranda
Assunção, Letícia Almeida de
Leitão, Luciana Pereira Colares
Silva, Natasha Monte da
Coelho, Rita de Cássia Calderaro
Alcântara, Angélica Leite de
Vinagre, Lui Wallacy Morikawa Souza
Rodrigues, Juliana Carla Gomes
Leal, Diana Feio da Veiga Borges
Fernandes, Marianne Rodrigues Fernandes
Souza, Sandro José de
Kroll, José Eduardo
Santos, André Mauricio Riberio dos
Burbano, Rommel Mario Rodríguez Burbano
Guerreiro, João Farias
Assumpção, Paulo Pimentel de
Santos, Ândrea Campos Ribeiro dos
Santos, Sidney Emanuel Batista dos
Santos, Ney Pereira Carneiro dos.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Astana, Lucas Favacho
Silva, Thays Amâncio
Gellen, Laura Patrícia Albarello
Vieira, Giovana Miranda
Assunção, Letícia Almeida de
Leitão, Luciana Pereira Colares
Silva, Natasha Monte da
Coelho, Rita de Cássia Calderaro
Alcântara, Angélica Leite de
Vinagre, Lui Wallacy Morikawa Souza
Rodrigues, Juliana Carla Gomes
Leal, Diana Feio da Veiga Borges
Fernandes, Marianne Rodrigues Fernandes
Souza, Sandro José de
Kroll, José Eduardo
Santos, André Mauricio Riberio dos
Burbano, Rommel Mario Rodríguez Burbano
Guerreiro, João Farias
Assumpção, Paulo Pimentel de
Santos, Ândrea Campos Ribeiro dos
Santos, Sidney Emanuel Batista dos
Santos, Ney Pereira Carneiro dos.
dc.subject.por.fl_str_mv COVID-19
Gene
Risk factor
Genetic variant
topic COVID-19
Gene
Risk factor
Genetic variant
description Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, and ABO genes with the risk of severe forms of COVID-19 in Amazonian Native Americans, and to compare the frequencies with continental populations. The study population was composed of 64 Amerindians from the Amazon region of northern Brazil. The difference in frequencies between the populations was analyzed using Fisher’s exact test, and the results were significant when p ≤ 0.05. We investigated 64 polymorphisms in 7 genes; we studied 47 genetic variants that were new or had impact predictions of high, moderate, or modifier. We identified 15 polymorphisms with moderate impact prediction in 4 genes (ABO, CXCR6, FYCO1, and SLC6A20). Among the variants analyzed, 18 showed significant differences in allele frequency in the NAM population when compared to others. We reported two new genetic variants with modifier impact in the Amazonian population that could be studied to validate the possible associations with COVID-19 outcomes. The genomic profile of Amazonian Native Americans may be associated with protection from severe forms of COVID-19. This work provides genomic data that may help forthcoming studies to improve COVID-19 outcomes
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-05-02T17:22:37Z
dc.date.available.fl_str_mv 2022-05-02T17:22:37Z
dc.date.issued.fl_str_mv 2022-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv ASTANA, Lucas Favacho; SILVA, Thays Amâncio; GELLEN, Laura Patrícia Albarello; VIEIRA, Giovana Miranda; ASSUNÇÃO, Letícia Almeida de; LEITÃO, Luciana Pereira Colares; SILVA, Natasha Monte da; COELHO, Rita de Cássia Calderaro; ALCÂNTARA, Angélica Leite de; VINAGRE, Lui Wallacy Morikawa Souza; RODRIGUES, Juliana Carla Gomes; LEAL, Diana Feio da Veiga Borges; FERNANDES, Marianne Rodrigues Fernandes; SOUZA, Sandro José de; KROLL, José Eduardo; SANTOS, André Mauricio Riberio dos; BURBANO, Rommel Mario Rodríguez Burbano; GUERREIRO, João Farias; ASSUMPÇÃO, Paulo Pimentel de; SANTOS, Ândrea Campos Ribeiro dos; SANTOS, Sidney Emanuel Batista dos; SANTOS, Ney Pereira Carneiro dos. The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations. Journal Of Personalized Medicine, Basiléia (Suíça), v. 12, n. 4, p. 1-12, abr. 2022. Disponível em: https://www.mdpi.com/2075-4426/12/4/554/htm. Acesso em: 29 abr. 2022.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/47075
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/jpm12040554
identifier_str_mv ASTANA, Lucas Favacho; SILVA, Thays Amâncio; GELLEN, Laura Patrícia Albarello; VIEIRA, Giovana Miranda; ASSUNÇÃO, Letícia Almeida de; LEITÃO, Luciana Pereira Colares; SILVA, Natasha Monte da; COELHO, Rita de Cássia Calderaro; ALCÂNTARA, Angélica Leite de; VINAGRE, Lui Wallacy Morikawa Souza; RODRIGUES, Juliana Carla Gomes; LEAL, Diana Feio da Veiga Borges; FERNANDES, Marianne Rodrigues Fernandes; SOUZA, Sandro José de; KROLL, José Eduardo; SANTOS, André Mauricio Riberio dos; BURBANO, Rommel Mario Rodríguez Burbano; GUERREIRO, João Farias; ASSUMPÇÃO, Paulo Pimentel de; SANTOS, Ândrea Campos Ribeiro dos; SANTOS, Sidney Emanuel Batista dos; SANTOS, Ney Pereira Carneiro dos. The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations. Journal Of Personalized Medicine, Basiléia (Suíça), v. 12, n. 4, p. 1-12, abr. 2022. Disponível em: https://www.mdpi.com/2075-4426/12/4/554/htm. Acesso em: 29 abr. 2022.
url https://repositorio.ufrn.br/handle/123456789/47075
https://doi.org/10.3390/jpm12040554
dc.language.iso.fl_str_mv eng
language eng
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