Reference-free cell mixture adjustments in analysis of DNA methylation data.

ABSTRACT:

Motivation

Recently there has been increasing interest in the effects of cell mixture on the measurement of DNA methylation, specifically the extent to which small perturbations in cell mixture proportions can register as changes in DNA methylation. A recently published set of statistical methods exploits this association to infer changes in cell mixture proportions, and these methods are presently being applied to adjust for cell mixture effect in the context of epigenome-wide association studies. However, these adjustments require the existence of reference datasets, which may be laborious or expensive to collect. For some tissues such as placenta, saliva, adipose or tumor tissue, the relevant underlying cell types may not be known.

Results

We propose a method for conducti

SUBMITTER: Houseman EA 

PROVIDER: S-EPMC4016702 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature