The Genomic Profile Associated with Risk of Severe Forms of COVID-19 in Amazonian Native American Populations
Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the , , , , , , and genes with the risk of severe forms of COVID-19 in Amazonian Native Americans, and to compare the frequencies with continental populations. The study...
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Published in: | Journal of personalized medicine Vol. 12; no. 4; p. 554 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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Language: | English |
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Abstract | Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the
,
,
,
,
,
, and
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
≤ 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 (
,
,
, and
). 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. |
---|---|
AbstractList | 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. 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. Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the , , , , , , and 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 ≤ 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 ( , , , and ). 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. |
Author | de Souza, Sandro José Ribeiro-Dos-Santos, Ândrea Campos de Assumpção, Paulo Pimentel Silva, Thays Amâncio Coelho, Rita de Cássia Calderaro Kroll, José Eduardo Borges Leal, Diana Feio da Veiga Guerreiro, João Farias Rodrigues, Juliana Carla Gomes Burbano, Rommel Mario Rodríguez Vieira, Giovana Miranda Vinagre, Lui Wallacy Morikawa Souza da Silva, Natasha Monte Dos Santos, Ney Pereira Carneiro Gellen, Laura Patrícia Albarello Dos Santos, Sidney Emanuel Batista Fernandes, Marianne Rodrigues Leitão, Luciana Pereira Colares de Alcântara, Angélica Leite de Assunção, Letícia Almeida Pastana, Lucas Favacho Ribeiro-Dos-Santos, André Mauricio |
AuthorAffiliation | 1 Laboratório do Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém 66073-000, Brazil; lucas.pastana@ics.ufpa.br (L.F.P.); thaysamnc@gmail.com (T.A.S.); laura.patricia.agellen@hotmail.com (L.P.A.G.); giovanamirandav@gmail.com (G.M.V.); leticiaalmeidaenf96@gmail.com (L.A.d.A.); colares.luciana@gmail.com (L.P.C.L.); ntshmonte@gmail.com (N.M.d.S.); rccalderarocoelho@gmail.com (R.d.C.C.C.); angelica.alcantara99@gmail.com (A.L.d.A.); luivinagre@gmail.com (L.W.M.S.V.); julianacrodrigues@gmail.com (J.C.G.R.); dianafeio@hotmail.com (D.F.d.V.B.L.); fernandesmr@yahoo.com.br (M.R.F.); rommelburbano@gmail.com (R.M.R.B.); assumpcaopp@gmail.com (P.P.d.A.); sidneysantosufpa@gmail.com (S.E.B.d.S.) 3 BioME, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil 4 Institute of Systems Genetics, West China Hospital, University of Sichuan, Chengdu 610041, China 5 Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém 66075-110, Brazil; andremrsantos@gmail |
AuthorAffiliation_xml | – name: 3 BioME, Universidade Federal do Rio Grande do Norte, Natal 59078-400, Brazil – name: 5 Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém 66075-110, Brazil; andremrsantos@gmail.com (A.M.R.-d.-S.); joao.guerreiro53@gmail.com (J.F.G.); akelyufpa@gmail.com (Â.C.R.-d.-S.) – name: 1 Laboratório do Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém 66073-000, Brazil; lucas.pastana@ics.ufpa.br (L.F.P.); thaysamnc@gmail.com (T.A.S.); laura.patricia.agellen@hotmail.com (L.P.A.G.); giovanamirandav@gmail.com (G.M.V.); leticiaalmeidaenf96@gmail.com (L.A.d.A.); colares.luciana@gmail.com (L.P.C.L.); ntshmonte@gmail.com (N.M.d.S.); rccalderarocoelho@gmail.com (R.d.C.C.C.); angelica.alcantara99@gmail.com (A.L.d.A.); luivinagre@gmail.com (L.W.M.S.V.); julianacrodrigues@gmail.com (J.C.G.R.); dianafeio@hotmail.com (D.F.d.V.B.L.); fernandesmr@yahoo.com.br (M.R.F.); rommelburbano@gmail.com (R.M.R.B.); assumpcaopp@gmail.com (P.P.d.A.); sidneysantosufpa@gmail.com (S.E.B.d.S.) – name: 2 Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal 59076-550, Brazil; sandro@neuro.ufrn.br (S.J.d.S.); jkpenga@gmail.com (J.E.K.) – name: 4 Institute of Systems Genetics, West China Hospital, University of Sichuan, Chengdu 610041, China |
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Universidade Federal do Pará, Belém 66073-000, Brazil |
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Keywords | COVID-19 genetic variant gene risk factor |
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Snippet | Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the
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genes... Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20, LZTFL1, CCR9,... Genetic factors associated with COVID-19 disease outcomes are poorly understood. This study aimed to associate genetic variants in the SLC6A20 , LZTFL1 , CCR9... |
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SubjectTerms | ABO system Bioinformatics Blood groups CCR9 protein Coronaviruses COVID-19 Disease Ethics Gene frequency Genes Genetic diversity Genetic engineering Genetic factors Genomes Genomics Immune system Infections Minority & ethnic groups Mutation Pandemics Population Population genetics Population studies Precision medicine |
Title | The Genomic Profile Associated with Risk of Severe Forms of COVID-19 in Amazonian Native American Populations |
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