Family-based gene-environment interaction using sequence kernel association test (FGE-SKAT) for complex quantitative traits.

ABSTRACT: After the genome-wide association studies (GWAS) era, whole-genome sequencing is highly engaged in identifying the association of complex traits with rare variations. A score-based variance-component test has been proposed to identify common and rare genetic variants associated with complex traits while quickly adjusting for covariates. Such kernel score statistic allows for familial dependencies and adjusts for random confounding effects. However, the etiology of complex traits may involve the effects of genetic and environmental factors and the complex interactions between genes and the environment. Therefore, in this research, a novel method is proposed to detect gene and gene-environment interactions in a complex family-based association study with various correlated structures. We als

SUBMITTER: Guo CY 

PROVIDER: S-EPMC8016937 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature