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Updated: May 9, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Analysis of genome-wide DNA methylation profiles by BeadChip technology
Qiong Lin1, Wolfgang Wagner, Martin Zenke
1Institute for Biomedical Engineering-Cell Biology, RWTH Aachen University Medical School, Aachen, Germany.
Abstract:
This chapter covers the genome-wide DNA methylation analysis using microarray platforms, such as Illumina Infinium HumanMethylation27 BeadChips or HumanMethylation450 BeadChips. Using our previously published ovarian cancer dataset (Bauerschlag et al., Oncology 80:12-20, 2011), we introduce the underlying design principles of these methylation array platforms and describe common yet effective bioinformatic strategies for data analysis, including data preprocessing, clustering methods, and differential methylation tests. We also describe the downstream analytic techniques for the results derived from the methylation array, i.e., gene set enrichment analysis and sequence-based motif analysis, which can be utilized for generating biological hypotheses.

