NetworkGWAS: a network-based approach to discover genetic associations.

ABSTRACT:

Motivation

While the search for associations between genetic markers and complex traits has led to the discovery of tens of thousands of trait-related genetic variants, the vast majority of these only explain a small fraction of the observed phenotypic variation. One possible strategy to overcome this while leveraging biological prior is to aggregate the effects of several genetic markers and to test entire genes, pathways or (sub)networks of genes for association to a phenotype. The latter, network-based genome-wide association studies, in particular suffer from a vast search space and an inherent multiple testing problem. As a consequence, current approaches are either based on greedy feature selection, thereby risking that they miss relevant associations, or neglect doing a mult

SUBMITTER: Muzio G 

PROVIDER: S-EPMC10281858 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature