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Quantile-specific confounding: correction for subtle population stratification via quantile regression
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DOI：10.1093/genetics/iyaf138.png)
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Abstract
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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.
Keywords:
GWAS
population stratification
quantile specific confounding
quantile regression
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