Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality.

ABSTRACT:

Background

The interaction between loci to affect phenotype is called epistasis. It is strict epistasis if no proper subset of the interacting loci exhibits a marginal effect. For many diseases, it is likely that unknown epistatic interactions affect disease susceptibility. A difficulty when mining epistatic interactions from high-dimensional datasets concerns the curse of dimensionality. There are too many combinations of SNPs to perform an exhaustive search. A method that could locate strict epistasis without an exhaustive search can be considered the brass ring of methods for analyzing high-dimensional datasets.

Methodology/findings

A SNP pattern is a Bayesian network representing SNP-disease relationships. The Bayesian score for a SNP pattern is the probability of the da

SUBMITTER: Jiang X 

PROVIDER: S-EPMC3470561 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature