Evidence map›Paper›PMID 23925113›Full record

ArticleNature2013

Charting a dynamic DNA methylation landscape of the human genome.

Michael J Ziller, Hongcang Gu, Fabian Müller, Julie Donaghey, Linus T-Y Tsai, Oliver Kohlbacher, Philip L De Jager, Evan D Rosen, David A Bennett, Bradley E Bernstein and 2 more

Abstract read
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 802 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
802citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

802 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Review
  8. Epigenetic regulation and chromatin organization in cystic fibrosis airways.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Germline hypomethylation shapes dynamic CpG reservoirs in ape genomes.bioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Cardiac epigenome in heart development and disease.Nature reviews. Cardiology · 2026
    Review
  18. Review
  19. Article
  20. Review

742 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michael J ZillerBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Hongcang Gu
Fabian Müller
Julie Donaghey
Linus T-Y Tsai
Oliver Kohlbacher
Philip L De Jager
Evan D Rosen
David A Bennett
Bradley E Bernstein
Andreas Gnirke
Alexander Meissner

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Regulatory Roles and Dynamics of Nuclear long-noncoding RNAs in PluripotencyP01GM099117 · NIGMS · HARVARD UNIVERSITY · PI MEISSNER, ALEXANDER · 2011 to 2021
$21.2M
Production sequencing of reference human epigenomesU01ES017155 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERNSTEIN, BRADLEY EVAN, MEISSNER, ALEXANDER · 2008 to 2012
$15.4M
Exploring the Role of the Brain Epigenome: Cognitive Decline and Life ExperiencesRF1AG036042 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2016 to 2016
$5.5M
Exploring the Role of the Brain Epigenome: Cognitive Decline and Life ExperiencesR01AG036042 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2009 to 2013
$4.1M
Epigenomics of Human Insulin ResistanceR01DK087092 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ROSEN, EVAN D · 2009 to 2013
$3.3M
NIA NIH HHS P30AG10161NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01AG15819NIA NIH HHS R01AG17917NIA NIH HHS R01AG36042NIA NIH HHS RF1 AG036042NIDDK NIH HHS R01 DK087092NIEHS NIH HHS ES017690NIEHS NIH HHS U01 ES017155NIEHS NIH HHS U01ES017155NIGMS NIH HHS P01 GM099117NIGMS NIH HHS P01GM099117
6 · The paper itself

Abstract

DNA methylation is a defining feature of mammalian cellular identity and is essential for normal development. Most cell types, except germ cells and pre-implantation embryos, display relatively stable DNA methylation patterns, with 70-80% of all CpGs being methylated. Despite recent advances, we still have a limited understanding of when, where and how many CpGs participate in genomic regulation. Here we report the in-depth analysis of 42 whole-genome bisulphite sequencing data sets across 30 diverse human cell and tissue types. We observe dynamic regulation for only 21.8% of autosomal CpGs within a normal developmental context, most of which are distal to transcription start sites. These dynamic CpGs co-localize with gene regulatory elements, particularly enhancers and transcription-factor-binding sites, which allow identification of key lineage-specific regulators. In addition, differentially methylated regions (DMRs) often contain single nucleotide polymorphisms associated with cell-type-related diseases as determined by genome-wide association studies. The results also highlight the general inefficiency of whole-genome bisulphite sequencing, as 70-80% of the sequencing reads across these data sets provided little or no relevant information about CpG methylation. To demonstrate further the utility of our DMR set, we use it to classify unknown samples and identify representative signature regions that recapitulate major DNA methylation dynamics. In summary, although in theory every CpG can change its methylation state, our results suggest that only a fraction does so as part of coordinated regulatory programs. Therefore, our selected DMRs can serve as a starting point to guide new, more effective reduced representation approaches to capture the most informative fraction of CpGs, as well as further pinpoint putative regulatory elements.

Indexed as

DNA MethylationBinding SitesCpG IslandsEnhancer Elements, GeneticGenome, HumanGenome-Wide Association StudyHumansOrgan SpecificityPolymorphism, Single NucleotideSequence Analysis, DNASulfitesTranscription Factorshydrogen sulfiteSulfitesTranscription Factors

Identifiers

PMID23925113
PMCPMC3821869

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.