Population stratification correction using Bayesian shrinkage priors for genetic association studies.

ABSTRACT:

Introduction

Population stratification (PS) is a major source of confounding in population-based genetic association studies of quantitative traits. Principal component regression (PCR) and linear mixed model (LMM) are two commonly used approaches to account for PS in association studies. Previous studies have shown that LMM can be interpreted as including all principal components (PCs) as random-effect covariates. However, including all PCs in LMM may dilute the influence of relevant PCs in some scenarios, while including only a few preselected PCs in PCR may fail to fully capture the genetic diversity.

Materials and methods

To address these shortcomings, we introduce Bayestrat-a method to detect associated variants with PS correction under the Bayesian LASSO framework. To

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11624906 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature