Identifying latent genetic interactions in genome-wide association studies using multiple traits.

ABSTRACT: Genome-wide association studies of complex traits frequently find that SNP-based estimates of heritability are considerably smaller than estimates from classic family-based studies. This 'missing' heritability may be partly explained by genetic variants interacting with other genes or environments that are difficult to specify, observe, and detect. To circumvent these challenges, we propose a new method to detect genetic interactions that leverages pleiotropy from multiple related traits without requiring the interacting variable to be specified or observed. Our approach, Latent Interaction Testing (LIT), uses the observation that correlated traits with shared latent genetic interactions have trait variance and covariance patterns that differ by genotype. LIT examines the relationship betw

SUBMITTER: Bass AJ 

PROVIDER: S-EPMC10515795 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature