Gene-gene interaction analysis incorporating network information via a structured Bayesian approach.

ABSTRACT: Increasing evidence has shown that gene-gene interactions have important effects in biological processes of human diseases. Due to the high dimensionality of genetic measurements, interaction analysis usually suffers from a lack of sufficient information and has unsatisfactory results. Biological network information has been massively accumulated, allowing researchers to identify biomarkers while taking a system perspective, conducting network selection (of functionally related biomarkers), and accommodating network structures. In main-effect-only analysis, network information has been incorporated. However, effort has been limited in interaction analysis. Recently, link networks that describe the relationships between genetic interactions have been demonstrated as effective for revealing

SUBMITTER: Qin X 

PROVIDER: S-EPMC8595614 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature