High-order SNP combinations associated with complex diseases: efficient discovery, statistical power and functional interactions.

ABSTRACT: There has been increased interest in discovering combinations of single-nucleotide polymorphisms (SNPs) that are strongly associated with a phenotype even if each SNP has little individual effect. Efficient approaches have been proposed for searching two-locus combinations from genome-wide datasets. However, for high-order combinations, existing methods either adopt a brute-force search which only handles a small number of SNPs (up to few hundreds), or use heuristic search that may miss informative combinations. In addition, existing approaches lack statistical power because of the use of statistics with high degrees-of-freedom and the huge number of hypotheses tested during combinatorial search. Due to these challenges, functional interactions in high-order combinations have not been syst

SUBMITTER: Fang G 

PROVIDER: S-EPMC3334940 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature