Xinyue Qie

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.