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Author, Editor(s)

Author(s):

Bock, Christoph
Walter, Jörn
Paulsen, Martina
Lengauer, Thomas

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Not MPG Author(s):

Walter, Jörn
Paulsen, Martina

BibTeX cite key*:

Bock2008c

Title

Title*:

Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping


Bock et al. (2008) Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping.pdf (555.32 KB)

Journal

Journal Title*:

Nucleic Acids Research

Journal's URL:

http://nar.oxfordjournals.org/cgi/content/full/36/10/e55

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for the article:


Language:

English

Publisher

Publisher's
Name:

Oxford University Press

Publisher's URL:


Publisher's
Address:

Oxford, UK

ISSN:

0305-1048

Vol, No, pp, Date

Volume*:

36

Number:

10

Publishing Date:

June 2008

Pages*:

e55

Number of
VG Pages:

38

Page Start:


Page End:


Sequence Number:


DOI:

10.1093/nar/gkn122

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Genomic DNA methylation profiles exhibit substantial variation within the human population, with important functional implications for gene regulation. So far little is known about the characteristics and determinants of DNA methylation variation among healthy individuals. We performed bioinformatic analysis of high-resolution methylation profiles from multiple individuals, uncovering complex patterns of inter-individual variation that are strongly correlated with the local DNA sequence. CpG-rich regions exhibit low and relatively similar levels of DNA methylation in all individuals, but the sequential order of the (few) methylated among the (many) unmethylated CpGs differs randomly across individuals. In contrast, CpG-poor regions exhibit substantially elevated levels of inter-individual variation, but also significant conservation of specific DNA methylation patterns between unrelated individuals. This observation has important implications for experimental analysis of DNA methylation, e.g. in the context of epigenome projects. First, DNA methylation mapping at single-CpG resolution is expected to uncover informative DNA methylation patterns for the CpG-poor bulk of the human genome. Second, for CpG-rich regions it will be sufficient to measure average methylation levels rather than assaying every single CpG. We substantiate these conclusions by an in silico benchmarking study of six widely used methods for DNA methylation mapping. Based on our findings, we propose a cost-optimized two-track strategy for mammalian methylome projects.

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Keywords:


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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Audience:

popular

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Bock2008c,
AUTHOR = {Bock, Christoph and Walter, J{\"o}rn and Paulsen, Martina and Lengauer, Thomas},
TITLE = {Inter-individual variation of {DNA} methylation and its implications for large-scale epigenome mapping},
JOURNAL = {Nucleic Acids Research},
PUBLISHER = {Oxford University Press},
YEAR = {2008},
NUMBER = {10},
VOLUME = {36},
PAGES = {e55},
ADDRESS = {Oxford, UK},
MONTH = {June},
ISBN = {0305-1048},
DOI = {10.1093/nar/gkn122},
}


Entry last modified by Christoph Bock, 03/09/2009
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Editor(s)
Christoph Bock
Created
12/17/2008 10:55:29 PM
Revisions
7.
6.
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4.
3.
Editor(s)
Christoph Bock
Ruth Schneppen-Christmann
Christoph Bock
Christoph Bock
Christoph Bock
Edit Dates
03/09/2009 10:13:03 PM
22.01.2009 15:40:04
18/12/2008 17:18:14
17/12/2008 23:14:45
17/12/2008 23:08:12
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