Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis.

ABSTRACT:

Background

Genome-wide gene-gene interaction analysis using single nucleotide polymorphisms (SNPs) is an attractive way for identification of genetic components that confers susceptibility of human complex diseases. Individual hypothesis testing for SNP-SNP pairs as in common genome-wide association study (GWAS) however involves difficulty in setting overall p-value due to complicated correlation structure, namely, the multiple testing problem that causes unacceptable false negative results. A large number of SNP-SNP pairs than sample size, so-called the large p small n problem, precludes simultaneous analysis using multiple regression. The method that overcomes above issues is thus needed.

Results

We adopt an up-to-date method for ultrahigh-dimensional variable selection te

SUBMITTER: Ueki M 

PROVIDER: S-EPMC3531267 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature