On the potential of models for location and scale for genome-wide DNA methylation data.

ABSTRACT:

Background

With the help of epigenome-wide association studies (EWAS), increasing knowledge on the role of epigenetic mechanisms such as DNA methylation in disease processes is obtained. In addition, EWAS aid the understanding of behavioral and environmental effects on DNA methylation. In terms of statistical analysis, specific challenges arise from the characteristics of methylation data. First, methylation β-values represent proportions with skewed and heteroscedastic distributions. Thus, traditional modeling strategies assuming a normally distributed response might not be appropriate. Second, recent evidence suggests that not only mean differences but also variability in site-specific DNA methylation associates with diseases, including cancer. The purpose of this study was to co

SUBMITTER: Wahl S 

PROVIDER: S-EPMC4227139 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature