Case-control association study between polygenic risk score and COVID-19 severity in a Russian population using low-pass genome sequencing.

ABSTRACT: The course of COVID-19 is highly variable, with genetics playing a significant role. Through large-scale genetic association studies, a link between single nucleotide polymorphisms and disease susceptibility and severity was established. However, individual single nucleotide polymorphisms identified thus far have shown modest effects, indicating a polygenic nature of this trait, and individually have limited predictive performance. To address this limitation, we investigated the performance of a polygenic risk score model in the context of COVID-19 severity in a Russian population. A genome-wide polygenic risk score model including information from over a million common single nucleotide polymorphisms was developed using summary statistics from the COVID-19 Host Genetics Initiative consort

SUBMITTER: Nostaeva A 

PROVIDER: S-EPMC11748017 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature