Extended methods for gene-environment-wide interaction scans in studies of admixed individuals with varying degrees of relationships.

ABSTRACT: The etiology of many complex diseases involves both environmental exposures and inherited genetic predisposition as well as interactions between them. Gene-environment-wide interaction studies (GEWIS) provide a means to identify the interactions between genetic variation and environmental exposures that underlie disease risk. However, current GEWIS methods lack the capability to adjust for the potentially complex correlations in studies with varying degrees of relationships (both known and unknown) among individuals in admixed populations. We developed novel generalized estimating equation (GEE) based methods-GEE-adaptive and GEE-joint-to account for phenotypic correlations due to kinship while accounting for covariates, including, measures of genome-wide ancestry. In simulation studies of

SUBMITTER: Chen Y 

PROVIDER: S-EPMC6648658 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature