Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.

ABSTRACT: Epistasis, commonly defined as the interaction between genetic loci, is known to play an important role in the phenotypic variation of complex traits. As a result, many statistical methods have been developed to identify genetic variants that are involved in epistasis, and nearly all of these approaches carry out this task by focusing on analyzing one trait at a time. Previous studies have shown that jointly modeling multiple phenotypes can often dramatically increase statistical power for association mapping. In this study, we present the "multivariate MArginal ePIstasis Test" (mvMAPIT)-a multioutcome generalization of a recently proposed epistatic detection method which seeks to detect marginal epistasis or the combined pairwise interaction effects between a given variant and all other v

SUBMITTER: Stamp J 

PROVIDER: S-EPMC10484060 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature