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: | , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
MDPI AG
01-04-2022
MDPI |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2075-4426 2075-4426 |
DOI: | 10.3390/jpm12040554 |