An ancestry-based approach for detecting interactions.

ABSTRACT:

Background

Epistasis and gene-environment interactions are known to contribute significantly to variation of complex phenotypes in model organisms. However, their identification in human association studies remains challenging for myriad reasons. In the case of epistatic interactions, the large number of potential interacting sets of genes presents computational, multiple hypothesis correction, and other statistical power issues. In the case of gene-environment interactions, the lack of consistently measured environmental covariates in most disease studies precludes searching for interactions and creates difficulties for replicating studies.

Results

In this work, we develop a new statistical approach to address these issues that leverages genetic ancestry, defined as the pro

SUBMITTER: Park DS 

PROVIDER: S-EPMC6065511 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature