Identifying and correcting epigenetics measurements for systematic sources of variation.

ABSTRACT:

Background

Methylation measures quantified by microarray techniques can be affected by systematic variation due to the technical processing of samples, which may compromise the accuracy of the measurement process and contribute to bias the estimate of the association under investigation. The quantification of the contribution of the systematic source of variation is challenging in datasets characterized by hundreds of thousands of features.In this study, we introduce a method previously developed for the analysis of metabolomics data to evaluate the performance of existing normalizing techniques to correct for unwanted variation. Illumina Infinium HumanMethylation450K was used to acquire methylation levels in over 421,000 CpG sites for 902 study participants of a case-control study

SUBMITTER: Perrier F 

PROVIDER: S-EPMC5863487 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature