Empirical Bayes analysis of single nucleotide polymorphisms.

ABSTRACT:

Background

An important goal of whole-genome studies concerned with single nucleotide polymorphisms (SNPs) is the identification of SNPs associated with a covariate of interest such as the case-control status or the type of cancer. Since these studies often comprise the genotypes of hundreds of thousands of SNPs, methods are required that can cope with the corresponding multiple testing problem. For the analysis of gene expression data, approaches such as the empirical Bayes analysis of microarrays have been developed particularly for the detection of genes associated with the response. However, the empirical Bayes analysis of microarrays has only been suggested for binary responses when considering expression values, i.e. continuous predictors.

Results

In this paper, we pro

SUBMITTER: Schwender H 

PROVIDER: S-EPMC2335278 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature