Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network.

ABSTRACT: Bioinformatics approaches to examine gene-gene models provide a means to discover interactions between multiple genes that underlie complex disease. Extensive computational demands and adjusting for multiple testing make uncovering genetic interactions a challenge. Here, we address these issues using our knowledge-driven filtering method, Biofilter, to identify putative single nucleotide polymorphism (SNP) interaction models for cataract susceptibility, thereby reducing the number of models for analysis. Models were evaluated in 3,377 European Americans (1,185 controls, 2,192 cases) from the Marshfield Clinic, a study site of the Electronic Medical Records and Genomics (eMERGE) Network, using logistic regression. All statistically significant models from the Marshfield Clinic were then eva

SUBMITTER: Hall MA 

PROVIDER: S-EPMC4550090 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature