Tanzania
Research Article
Quantifying and Normalizing Methylation Levels in Illumina Arrays
Author(s): Duchwan Ryu, Hongyan Xu, Varghese George, Shaoyong Su, Xiaoling Wang and Robert H PodolskyDuchwan Ryu, Hongyan Xu, Varghese George, Shaoyong Su, Xiaoling Wang and Robert H Podolsky
The role of genome-wide patterns of methylation in human disease has drawn attention increasingly in recent years, because the methylome has the potential for large effects in disease etiology. Most analyses of methylation have utilized the percent signal that is methylated, known as β-value, or the logistic transformation of β, named M-value, as the summary measures. However, in general, these summary measures do not follow a Normal distribution and lead to statistical tests sensitive to outlying samples. In this paper, we proposed the N-value, a type of weighted logistic transformation of β that accounts for signal variability among beads for analyses of differential methylation. Our analysis of 27K Illumina array data showed that the N-value follows a desirable shape of sample distribution, an.. Read More»
DOI:
10.4172/2155-6180.1000164
Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report