Identifying genetic interactions in genome-wide data using Bayesian networks.

ABSTRACT: It is believed that interactions among genes (epistasis) may play an important role in susceptibility to common diseases (Moore and Williams [2002]. Ann Med 34:88-95; Ritchie et al. [2001]. Am J Hum Genet 69:138-147). To study the underlying genetic variants of diseases, genome-wide association studies (GWAS) that simultaneously assay several hundreds of thousands of SNPs are being increasingly used. Often, the data from these studies are analyzed with single-locus methods (Lambert et al. [2009]. Nat Genet 41:1094-1099; Reiman et al. [2007]. Neuron 54:713-720). However, epistatic interactions may not be easily detected with single-locus methods (Marchini et al. [2005]. Nat Genet 37:413-417). As a result, both parametric and nonparametric multi-locus methods have been developed to detect su

SUBMITTER: Jiang X 

PROVIDER: S-EPMC3931553 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature