Detecting differentially methylated loci for multiple treatments based on high-throughput methylation data.

ABSTRACT:

Background

Because of its important effects, as an epigenetic factor, on gene expression and disease development, DNA methylation has drawn much attention from researchers. Detecting differentially methylated loci is an important but challenging step in studying the regulatory roles of DNA methylation in a broad range of biological processes and diseases. Several statistical approaches have been proposed to detect significant methylated loci; however, most of them were designed specifically for case-control studies.

Results

Noticing that the age is associated with methylation level and the methylation data are not normally distributed, in this paper, we propose a nonparametric method to detect differentially methylated loci under multiple conditions with trend for Illumina A

SUBMITTER: Chen Z 

PROVIDER: S-EPMC4026834 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature