The Genomic Profile Associated with Risk of Severe Forms of COVID-19 in Amazonian Native American Populations

Author:

Pastana Lucas Favacho,Silva Thays Amâncio,Gellen Laura Patrícia AlbarelloORCID,Vieira Giovana Miranda,de Assunção Letícia Almeida,Leitão Luciana Pereira Colares,da Silva Natasha Monte,Coelho Rita de Cássia Calderaro,de Alcântara Angélica LeiteORCID,Vinagre Lui Wallacy Morikawa SouzaORCID,Rodrigues Juliana Carla Gomes,Borges Leal Diana Feio da VeigaORCID,Fernandes Marianne RodriguesORCID,de Souza Sandro José,Kroll José EduardoORCID,Ribeiro-dos-Santos André Mauricio,Burbano Rommel Mario Rodríguez,Guerreiro João FariasORCID,de Assumpção Paulo Pimentel,Ribeiro-dos-Santos Ândrea CamposORCID,dos Santos Sidney Emanuel BatistaORCID,dos Santos Ney Pereira Carneiro

Abstract

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.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

CNPQ

Publisher

MDPI AG

Subject

Medicine (miscellaneous)

Reference62 articles.

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