Geyu Zhou

Sep 12, 2024 | biorxiv.org | Leqi Xu |Geyu Zhou |Wei Jiang |Haoyu Zhang

AbstractGenetic prediction accuracy for non-European populations is hindered by the limited sample size of Genome-wide association studies (GWAS) data in these populations. Additionally, it is challenging to tune model parameters with a small tuning dataset for methods that require tuning data, which is often the case for non-European samples.

Nov 28, 2023 | biorxiv.org | Geyu Zhou |Hongyu Zhao |Xinyue Qie

AbstractPolygenic risk score (PRS) has become increasingly popular for predicting the value of complex traits. In many settings, PRS is used as a covariate in regression analysis to study the association between different phenotypes. However, measurement error in PRS causes attenuation bias in the estimation of regression coefficients. In this paper, we employ a Bayesian approach to accounting for the measurement error of PRS and correcting the attenuation bias in linear and logistic regression.

Nov 1, 2023 | biorxiv.org | Leqi Xu |Geyu Zhou |Hongyu Zhao

AbstractThe disparity in genetic risk prediction accuracy between European and non-European individuals highlights a critical challenge in health inequality. To bridge this gap, we introduce JointPRS, a novel method that models multiple populations jointly to improve genetic risk predictions for non-European individuals. JointPRS has three key features.