Quantile-specific confounding: correction for subtle population stratification via quantile regression.

ABSTRACT: Subtle population structure remains a significant concern in genome-wide association studies. Using human height as an example, we show how quantile regression, a natural extension of linear regression, can better correct for subtle population structure due to its inherent ability to adjust for quantile-specific effects of covariates such as principal components. We utilize data from the UK biobank and the SardiNIA/ProgeNIA project for demonstration.

SUBMITTER: Wang C 

PROVIDER: S-EPMC11957037 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature