2015
DOI: 10.1080/15592294.2015.1057384
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A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data

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Cited by 75 publications
(65 citation statements)
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“…Next, the methylation data were preprocessed by color balance adjustment, background correction and quantile-normalization with the lumi R package, and followed by Beta-Mixture Quantile (BMIQ) normalization with the wateRmelon package. This normalization strategy first quantile-normalized the intensities of methylation signals among all arrays, and then used BMIQ dilation to normalize the β-values within each array 1618 .…”
Section: Methodsmentioning
confidence: 99%
“…Next, the methylation data were preprocessed by color balance adjustment, background correction and quantile-normalization with the lumi R package, and followed by Beta-Mixture Quantile (BMIQ) normalization with the wateRmelon package. This normalization strategy first quantile-normalized the intensities of methylation signals among all arrays, and then used BMIQ dilation to normalize the β-values within each array 1618 .…”
Section: Methodsmentioning
confidence: 99%
“…Utilizing this as an actual DNA sequencing technology is hard to envision because the present method only examines one site in the duplex; however, probing methods to determine specific DNA sequences are still actively being pursued to overcome one limitation of full genome sequencing. 53,54 …”
Section: Resultsmentioning
confidence: 99%
“…We consider it might due to the following issues: (1) Since there was no established methodology for calculating the power of genome-wide methylation study in twins, the sample size was still a problem. Reviews of twins for epigenetics suggested that "a relatively small number (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) of phenotypically discordant twin pairs had sufficient (>80%) power to detect epigenetic changes of 1.2-fold, where an effect size of 1.2-fold change was significantly greater than the null experimental variance threshold for the assay (1.15fold change)" 16,17 . Usually, the sample size of previous genome-wide methylation MZ twin study targeted on hypertension was about ten pairs.…”
Section: Discussionmentioning
confidence: 99%
“…(6) Methodology in methylation data processing needed to be further improved. So far, there was no consistent method for data standardization 20 . In this study, we used…”
Section: Discussionmentioning
confidence: 99%