Wilhelm-Benartzi, Charlotte  ORCID: https://orcid.org/0000-0003-4927-6158, Koestler, D. C., Karagas, M. R., Flanagan, J. M., Christensen, B. C., Kelsey, K. T., Marsit, C. J., Houseman, E. A. and Brown, R.
2013.
Review of processing and analysis methods for DNA methylation array data.
British Journal of Cancer
109
(6)
, pp. 1394-1402.
10.1038/bjc.2013.496
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Abstract
The promise of epigenome-wide association studies and cancer-specific somatic DNA methylation changes in improving our understanding of cancer, coupled with the decreasing cost and increasing coverage of DNA methylation microarrays, has brought about a surge in the use of these technologies. Here, we aim to provide both a review of issues encountered in the processing and analysis of array-based DNA methylation data and a summary of the advantages of recent approaches proposed for handling those issues, focusing on approaches publicly available in open-source environments such as R and Bioconductor. We hope that the processing tools and analysis flowchart described herein will facilitate researchers to effectively use these powerful DNA methylation array-based platforms, thereby advancing our understanding of human health and disease.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Medicine |
| Publisher: | Nature Publishing Group |
| ISSN: | 0007-0920 |
| Date of First Compliant Deposit: | 8 December 2016 |
| Last Modified: | 06 Jan 2024 03:08 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/96186 |
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