RCP: a novel probe design bias correction method for Illumina Methylation BeadChip
Open Access
- 5 May 2016
- journal article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 32 (17), 2659-2663
- https://doi.org/10.1093/bioinformatics/btw285
Abstract
Motivation: The Illumina HumanMethylation450 BeadChip has been extensively utilized in epigenome-wide association studies. This array and its successor, the MethylationEPIC array, use two types of probes -- Infinium I (type I) and Infinium II (type II) -- in order to increase genome coverage but differences in probe chemistries result in different type I and II distributions of methylation values. Ignoring the difference in distributions between the two probe types may bias downstream analysis.This publication has 11 references indexed in Scilit:
- Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elementsGenome Biology, 2015
- Identification of DNA Methylation Changes in Newborns Related to Maternal Smoking during PregnancyEnvironmental Health Perspectives, 2014
- Epigenome-wide Association Study of Breast Cancer Using Prospectively Collected Sister Study SamplesJNCI Journal of the National Cancer Institute, 2013
- Identification and functional validation of HPV-mediated hypermethylation in head and neck squamous cell carcinomaGenome Medicine, 2013
- A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation dataBioinformatics, 2012
- SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChipsGenome Biology, 2012
- Evaluation of the Infinium Methylation 450K technologyEpigenomics, 2011
- High density DNA methylation array with single CpG site resolutionGenomics, 2011
- DNA methylation profiling of human chromosomes 6, 20 and 22Nature Genetics, 2006
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray ExperimentsStatistical Applications in Genetics and Molecular Biology, 2004