Genome-wide discovery for biomarkers using quantile regression at biobank scale
Chen Wang,
Tianying Wang,
Krzysztof Kiryluk
et al.
Abstract:Genome-wide association studies (GWAS) for biomarkers important for clinical phenotypes can lead to clinically relevant discoveries. Conventional GWAS for quantitative traits are based on simplified regression models modeling the conditional mean of a phenotype as a linear function of genotype. We draw attention here to an alternative, lesser known approach, namely quantile regression that naturally extends linear regression to the analysis of the entire conditional distribution of a phenotype of interest. Qua… Show more
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