Ontology highlight
ABSTRACT: Background
Childhood-onset asthma is highly heritable, with nearly 200 risk loci identified in genome-wide association studies. Aggregated polygenic risk scores can be used to quantify genetic predisposition to asthma, but their power to predict asthma severity in multi-ancestral groups has not been determined.Objective
Our aim was to examine the predictive power of biobank-derived asthma polygenic risk scores in children with asthma living in urban environments.Methods
We generated polygenic risk scores for asthma, derived from a large-scale genome-wide association meta-analysis, in four multi-ancestry asthma study cohorts of children living in urban environments. We assessed genetic predictions across different subphenotypes of asthma and tested for associations b
SUBMITTER: Dapas M
PROVIDER: S-EPMC12440043 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature