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      Genome-wide mapping of DNA methylation: a quantitative technology comparison

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          Abstract

          DNA methylation is a key component of mammalian gene regulation and the most classical example of an epigenetic mark. DNA methylation patterns are mitotically heritable and stable over time, but they undergo considerable changes in response to cell differentiation, diseases and environmental influences. Several methods have been developed for DNA methylation profiling on a genomic scale. Here, we benchmark four of these methods on two sample pairs, comparing their accuracy and power to detect DNA methylation differences. The results show that all evaluated methods (MeDIP-seq: methylated DNA immunoprecipitation, MethylCap-seq: methylated DNA capture by affinity purification, RRBS: reduced representation bisulfite sequencing, and the Infinium HumanMethylation27 assay) produce accurate DNA methylation data. However, these methods differ in their ability to detect differentially methylated regions between pairs of samples. We highlight strengths and weaknesses of the four methods and give practical recommendations for the design of epigenomic case-control studies.

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          Most cited references42

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          Global variation in copy number in the human genome.

          Copy number variation (CNV) of DNA sequences is functionally significant but has yet to be fully ascertained. We have constructed a first-generation CNV map of the human genome through the study of 270 individuals from four populations with ancestry in Europe, Africa or Asia (the HapMap collection). DNA from these individuals was screened for CNV using two complementary technologies: single-nucleotide polymorphism (SNP) genotyping arrays, and clone-based comparative genomic hybridization. A total of 1,447 copy number variable regions (CNVRs), which can encompass overlapping or adjacent gains or losses, covering 360 megabases (12% of the genome) were identified in these populations. These CNVRs contained hundreds of genes, disease loci, functional elements and segmental duplications. Notably, the CNVRs encompassed more nucleotide content per genome than SNPs, underscoring the importance of CNV in genetic diversity and evolution. The data obtained delineate linkage disequilibrium patterns for many CNVs, and reveal marked variation in copy number among populations. We also demonstrate the utility of this resource for genetic disease studies.
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            The history of cancer epigenetics.

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              Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.

              Cytosine methylation is required for mammalian development and is often perturbed in human cancer. To determine how this epigenetic modification is distributed in the genomes of primary and transformed cells, we used an immunocapturing approach followed by DNA microarray analysis to generate methylation profiles of all human chromosomes at 80-kb resolution and for a large set of CpG islands. In primary cells we identified broad genomic regions of differential methylation with higher levels in gene-rich neighborhoods. Female and male cells had indistinguishable profiles for autosomes but differences on the X chromosome. The inactive X chromosome (Xi) was hypermethylated at only a subset of gene-rich regions and, unexpectedly, overall hypomethylated relative to its active counterpart. The chromosomal methylation profile of transformed cells was similar to that of primary cells. Nevertheless, we detected large genomic segments with hypomethylation in the transformed cell residing in gene-poor areas. Furthermore, analysis of 6,000 CpG islands showed that only a small set of promoters was methylated differentially, suggesting that aberrant methylation of CpG island promoters in malignancy might be less frequent than previously hypothesized.
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                Author and article information

                Journal
                9604648
                20305
                Nat Biotechnol
                Nature biotechnology
                1087-0156
                1546-1696
                22 September 2010
                19 September 2010
                October 2010
                1 April 2011
                : 28
                : 10
                : 1106-1114
                Affiliations
                [1 ]Broad Institute, Cambridge, Massachusetts 02142
                [2 ]Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138
                [3 ]Harvard Stem Cell Institute, Cambridge, Massachusetts 02138
                [4 ]Max Planck Institute for Informatics, Saarbrücken, Germany
                [5 ]Radboud University Department of Molecular Biology, Nijmegen Center for Molecular Life Sciences, Nijmegen, The Netherlands
                Author notes
                Correspondence should be addressed to: C.B. cbock@ 123456broadinstitute.org or A.M. alexander_meissner@ 123456harvard.edu
                [6]

                These authors contributed equally to this work

                Article
                nihpa230546
                10.1038/nbt.1681
                3066564
                20852634
                846334da-74c6-4151-87b7-ee9b131d0521

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Institute of Environmental Health Sciences : NIEHS
                Award ID: U01 ES017155-04 ||ES
                Categories
                Article

                Biotechnology
                epigenome profiling,sequencing,cancer,molecular diagnostics,epigenetics,differentially methylated regions,biomarker discovery

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