Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering.

ABSTRACT:

Background

Taking the advantage of high-throughput single nucleotide polymorphism (SNP) genotyping technology, large genome-wide association studies (GWASs) have been considered to hold promise for unravelling complex relationships between genotype and phenotype. At present, traditional single-locus-based methods are insufficient to detect interactions consisting of multiple-locus, which are broadly existing in complex traits. In addition, statistic tests for high order epistatic interactions with more than 2 SNPs propose computational and analytical challenges because the computation increases exponentially as the cardinality of SNPs combinations gets larger.

Results

In this paper, we provide a simple, fast and powerful method using dynamic clustering and cloud computing to

SUBMITTER: Guo X 

PROVIDER: S-EPMC4021249 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature