Journal
PLOS ONE
Volume 7, Issue 11, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0050233
Keywords
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Categories
Funding
- Wellcome Trust [098051]
- Academy of Finland [251704]
- Academy of Finland, Centre of Excellence in Complex Disease Genetics [213506, 129680]
- European Community, ENGAGE Consortium [HEALTH-F4-2007-201413]
- EU/SYNSYS Synaptic Systems [242167]
- Sigrid Juselius Foundation, Finland
- BioSHaRE Consortium, Biobank standardisation and harmonisation for research excellence in the European Union [261433]
- gEUVADIS [HEALTH-2010-261123]
- Academy of Finland (AKA) [251704, 251704] Funding Source: Academy of Finland (AKA)
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DNA methylation is one of the most studied epigenetic marks in the human genome, with the result that the desire to map the human methylome has driven the development of several methods to map DNA methylation on a genomic scale. Our study presents the first comparison of two of these techniques - the targeted approach of the Infinium HumanMethylation450 BeadChip (R) with the immunoprecipitation and sequencing-based method, MeDIP-seq. Both methods were initially validated with respect to bisulfite sequencing as the gold standard and then assessed in terms of coverage, resolution and accuracy. The regions of the methylome that can be assayed by both methods and those that can only be assayed by one method were determined and the discovery of differentially methylated regions (DMRs) by both techniques was examined. Our results show that the Infinium HumanMethylation450 BeadChip (R) and MeDIP-seq show a good positive correlation (Spearman correlation of 0.68) on a genome-wide scale and can both be used successfully to determine differentially methylated loci in RefSeq genes, CpG islands, shores and shelves. MeDIP-seq however, allows a wider interrogation of methylated regions of the human genome, including thousands of non-RefSeq genes and repetitive elements, all of which may be of importance in disease. In our study MeDIP-seq allowed the detection of 15,709 differentially methylated regions, nearly twice as many as the array-based method (8070), which may result in a more comprehensive study of the methylome.
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