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bioRxiv · 10.1101/2025.03.18.638253

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

Wang, C.·Masala, M.·Fiorillo, E.·Devoto, M.·Cucca, F.·Ionita-Laza, I.
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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.

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Wang, C., Masala, M., Fiorillo, E., Devoto, M., Cucca, F., Ionita-Laza, I.. 2025-03-19. Quantile-specific confounding: correction for subtle population stratification via quantile regression. https://doi.org/10.1101/2025.03.18.638253

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