Evidence map›Paper›PMID 20689072›Full record

ReviewCirculation research2010

Epigenome mapping in normal and disease States.

Alika K Maunakea, Iouri Chepelev, Keji Zhao

Open access · bronzeAbstract readReview
In one paragraph

Review in Circulation research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
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

88 citing papers in PubMed, 175 citations in OpenAlex.

  1. International journal of molecular sciences · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Molecular and physiological basis of heterosis in hybrid rice performance.Molecular breeding : new strategies in plant improvement · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Epigenetic modulation of visceral nociception.Neurogastroenterology and motility · 2022
    Review
  10. Article
  11. Article
  12. The Potential to Fight Obesity with Adipogenesis Modulating Compounds.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Article
  15. Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

28 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

3 authors at 1 institution in 1 country.

Alika K MaunakeaLaboratory of Molecular Immunology, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA.
Iouri Chepelev
Keji Zhao
National Heart Lung and Blood Institute · US

Funding

Genome-wide mapping of histone modificationsZIAHL005801 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$24.0M
Epigenetic Regulation of Hematopoietic Stem CellsZIAHL006031 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$16.6M
Epigenetic Regulation of T cell differentiationZIAHL006030 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$15.3M
Genome-wide mapping of histone modificationsZ01HL005801 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2003 to 2008
$5.2M
Intramural NIH HHS Z01 HL005801
6 · The paper itself

Abstract

Epigenomes are comprised, in part, of all genome-wide chromatin modifications, including DNA methylation and histone modifications. Unlike the genome, epigenomes are dynamic during development and differentiation to establish and maintain cell type-specific gene expression states that underlie cellular identity and function. Chromatin modifications are particularly labile, providing a mechanism for organisms to respond and adapt to environmental cues. Results from studies in animal models clearly demonstrate that epigenomic variability leads to phenotypic variability, including susceptibility to disease that is not recognized at the DNA sequence level. Thus, capturing epigenomic information is invaluable for comprehensively understanding development, differentiation, and disease. Herein, we provide a brief overview of epigenetic processes, how they are relevant to human health, and review studies using technologies that enable epigenome mapping. We conclude by describing feasible applications of epigenome mapping, focusing on epigenome-wide association studies (eGWAS), which have the potential to revolutionize current studies of human diseases and will likely promote the discovery of novel diagnostic, preventative, and treatment strategies.

Indexed as

Genome, HumanAnimalsChromatinDNA MethylationEmbryonic DevelopmentEnvironmentEpigenesis, GeneticGene Expression RegulationGene SilencingGenetic Diseases, InbornGenetic Predisposition to DiseaseGenome-Wide Association StudyHistonesHumansPhenotypeReference ValuesChromatinHistones

Identifiers

PMID20689072
PMCPMC2917837
OpenAlexW2151543286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.