Age-adjusted nonparametric detection of differential DNA methylation with case-control designs.

ABSTRACT:

Background

DNA methylation profiles differ among disease types and, therefore, can be used in disease diagnosis. In addition, large-scale whole genome DNA methylation data offer tremendous potential in understanding the role of DNA methylation in normal development and function. However, due to the unique feature of the methylation data, powerful and robust statistical methods are very limited in this area.

Results

In this paper, we proposed and examined a new statistical method to detect differentially methylated loci for case control designs that is fully nonparametric and does not depend on any assumption for the underlying distribution of the data. Moreover, the proposed method adjusts for the age effect that has been shown to be highly correlated with DNA methylation pr

SUBMITTER: Huang H 

PROVIDER: S-EPMC3599607 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature