Comprehensive in silico identification of impacts of ACE2 SNPs on COVID-19 susceptibility in different populations.
Ontology highlight
ABSTRACT: The COVID-19 pandemic emerges a reminder that wide spectrum discrepancy in response to SARS-CoV-2 infection and antiviral drugs among different populations might be due to their different ACE2 SNPs and/or miRNAs profile. ACE2 is the major component for SARS-CoV-2s' cell entry, and disruption of its 3D structure could influence virus-ACE2 interaction. In this study we aimed to investigate the consequence of 16,860 SNPs within ACE2 on its expression as well as protein folding, function, and stability by using several beneficial bioinformatics tools. Only 64 SNPs including 60 intronic, and 4 missense showed different frequencies among different populations. Two missense SNPs including rs149039346 and rs147311723 have been predicted to strongly influence the function and stabilit
SUBMITTER: Paniri A
PROVIDER: S-EPMC7716747 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA