Title |
RELIC: a novel dye-bias correction method for Illumina Methylation BeadChip
|
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Published in |
BMC Genomics, January 2017
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DOI | 10.1186/s12864-016-3426-3 |
Pubmed ID | |
Authors |
Zongli Xu, Sabine A. S. Langie, Patrick De Boever, Jack A. Taylor, Liang Niu |
Abstract |
The Illumina Infinium HumanMethylation450 BeadChip and its successor, Infinium MethylationEPIC BeadChip, have been extensively utilized in epigenome-wide association studies. Both arrays use two fluorescent dyes (Cy3-green/Cy5-red) to measure methylation level at CpG sites. However, performance difference between dyes can result in biased estimates of methylation levels. Here we describe a novel method, called REgression on Logarithm of Internal Control probes (RELIC) to correct for dye bias on whole array by utilizing the intensity values of paired internal control probes that monitor the two color channels. We evaluate the method in several datasets against other widely used dye-bias correction methods. Results on data quality improvement showed that RELIC correction statistically significantly outperforms alternative dye-bias correction methods. We incorporated the method into the R package ENmix, which is freely available from the Bioconductor website ( https://www.bioconductor.org/packages/release/bioc/html/ENmix.html ). RELIC is an efficient and robust method to correct for dye-bias in Illumina Methylation BeadChip data. It outperforms other alternative methods and conveniently implemented in R package ENmix to facilitate DNA methylation studies. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
Unknown | 62 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 24% |
Researcher | 14 | 22% |
Student > Master | 9 | 14% |
Student > Doctoral Student | 3 | 5% |
Student > Bachelor | 3 | 5% |
Other | 9 | 14% |
Unknown | 10 | 16% |
Readers by discipline | Count | As % |
---|---|---|
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Agricultural and Biological Sciences | 11 | 17% |
Medicine and Dentistry | 5 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
Nursing and Health Professions | 2 | 3% |
Other | 10 | 16% |
Unknown | 12 | 19% |