Navegando por Autor "Astana, Lucas Favacho"
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Artigo The genomic profile associated with risk of severe forms of COVID-19 in amazonian native american populations(MDPI, 2022-04-01) 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.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