A novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.

ABSTRACT: The widespread use of high-throughput methods of single nucleotide polymorphism (SNP) genotyping has created a number of computational and statistical challenges. The problem of identifying SNP-SNP interactions in case-control studies has been studied extensively, and a number of new techniques have been developed. Little progress has been made, however, in the analysis of SNP-SNP interactions in relation to time-to-event data, such as patient survival time or time to cancer relapse. We present an extension of the two class multifactor dimensionality reduction (MDR) algorithm that enables detection and characterization of epistatic SNP-SNP interactions in the context of survival analysis. The proposed Survival MDR (Surv-MDR) method handles survival data by modifying MDR's constructive indu

SUBMITTER: Gui J 

PROVIDER: S-EPMC3255326 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature