The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , |
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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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 |
format |
article |
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 |
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eng |
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MDPI |
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