Genetic Analysis and Predictive Modeling of COVID-19 Severity in a Hospital-Based Patient Cohort.

ABSTRACT: The COVID-19 pandemic has had a devastating impact, with more than 7 million deaths worldwide. Advanced age and comorbidities partially explain severe cases of the disease, but genetic factors also play a significant role. Genome-wide association studies (GWASs) have been instrumental in identifying loci associated with SARS-CoV-2 infection. Here, we report the results from a >820 K variant GWAS in a COVID-19 patient cohort from the hospitals associated with IIS Biobizkaia. We compared intensive care unit (ICU)-hospitalized patients with non-ICU-hospitalized patients. The GWAS was complemented with an integrated phenotype and genetic modeling analysis using HLA genotypes, a previously identified COVID-19 polygenic risk score (PRS) and clinical data. We identified four variants associated w

SUBMITTER: Alloza-Moral I 

PROVIDER: S-EPMC11940120 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature