Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants.

ABSTRACT:

Motivation

Traditional genome-wide association study focuses on testing one-to-one relationship between genetic variants and complex human diseases or traits. While its success in the past decade, this one-to-one paradigm lacks efficiency because it does not utilize the information of intrinsic genetic structure and pleiotropic effects. Due to privacy reasons, only summary statistics of current genome-wide association study data are publicly available. Existing summary statistics-based association tests do not consider covariates for regression model, while adjusting for covariates including population stratification factors is a routine issue.

Results

In this work, we first derive the correlation coefficients between summary Wald statistics obtained from linear regression m

SUBMITTER: Bu D 

PROVIDER: S-EPMC10115469 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature