A screening methodology based on Random Forests to improve the detection of gene-gene interactions.

ABSTRACT: The search for susceptibility loci in gene-gene interactions imposes a methodological and computational challenge for statisticians because of the large dimensionality inherent to the modelling of gene-gene interactions or epistasis. In an era in which genome-wide scans have become relatively common, new powerful methods are required to handle the huge amount of feasible gene-gene interactions and to weed out false positives and negatives from these results. One solution to the dimensionality problem is to reduce data by preliminary screening of markers to select the best candidates for further analysis. Ideally, this screening step is statistically independent of the testing phase. Initially developed for small numbers of markers, the Multifactor Dimensionality Reduction (MDR) method is a

SUBMITTER: De Lobel L 

PROVIDER: S-EPMC2987456 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature