Ontology highlight
ABSTRACT:
SUBMITTER: Zhao H
PROVIDER: S-EPMC6475581 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature
Zhao Huaqing H Mitra Nandita N Kanetsky Peter A PA Nathanson Katherine L KL Rebbeck Timothy R TR
Statistical applications in genetics and molecular biology 20181204 6
Genome-wide association studies (GWAS) are susceptible to bias due to population stratification (PS). The most widely used method to correct bias due to PS is principal components (PCs) analysis (PCA), but there is no objective method to guide which PCs to include as covariates. Often, the ten PCs with the highest eigenvalues are included to adjust for PS. This selection is arbitrary, and patterns of local linkage disequilibrium may affect PCA corrections. To address these limitations, we estima ...[more]