AI Article Synopsis

  • SARS-CoV-2 infects human lung cells by using the ACE2 receptor and TMPRSS2, and genetic variations may influence the severity of COVID-19 among different populations.
  • The study focused on analyzing genetic variations in COVID-19-related genes within a sample of 954 admixed Brazilians, aiming to understand how these variations affect infection rates and responses to the virus.
  • Researchers identified 395 nonsynonymous variants, including 70 unique to Brazil, which could contribute to varying levels of COVID-19 susceptibility or severity in the Brazilian population.

Article Abstract

SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptor and transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host and genetic backgrounds might contribute to differences in the rate of SARS-CoV-2 infection or COVID-19 severity. Recent studies have also shown that variants in 15 genes related to type I interferon immunity to influenza virus might predispose patients toward life-threatening COVID-19 pneumonia. Other genes (, , and ) and alleles have also been implicated in the response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 cases worldwide. We aimed to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analyzed 27 candidate genes and alleles in 954 admixed Brazilian exomes. We used the information available in two public databases (http://www.bipmed.org and http://abraom.ib.usp.br/) and additional exomes from individuals born in southeast Brazil, the region of the country with the highest number of COVID-19 patients. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and gnomAD databases. We detected 395 nonsynonymous variants; of these, 325 were also found in the 1KGP and/or gnomAD. Six of these variants were previously reported to influence the rate of infection or clinical prognosis of COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025. In silico analysis revealed that seven of these variants are predicted to affect protein function. Furthermore, we identified alleles previously associated with the COVID-19 response at loci and . Our results showed genetic variability common to other populations and rare and ultrarare variants exclusively found in the Brazilian population. These findings might lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with this disease.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017521PMC
http://dx.doi.org/10.1038/s41439-021-00146-wDOI Listing

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