Published in

Oxford University Press, Bioinformatics, 10(30), p. 1431-1439, 2014

DOI: 10.1093/bioinformatics/btu029

Links

Tools

Export citation

Search in Google Scholar

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

Journal article published in 2014 by Eugene Andres Houseman, John Molitor, Carmen J. Marsit ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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.