Evidence map›Paper›PMID 20488932›Full record

ArticleGenome research2010

Chromatin and sequence features that define the fine and gross structure of genomic methylation patterns.

John R Edwards, Anne H O'Donnell, Robert A Rollins, Heather E Peckham, Clarence Lee, Maria H Milekic, Benjamin Chanrion, Yutao Fu, Tao Su, Hanina Hibshoosh and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
–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

110 citing papers in PubMed, 192 citations in OpenAlex.

  1. Article
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  8. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  9. Review
  10. Article
  11. Article
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  13. Article
  14. Morc1 reestablishes H3K9me3 heterochromatin on piRNA-targeted transposons in gonocytes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

50 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

14 authors at 4 institutions in 1 country.

John R EdwardsCenter for Pharmacogenomics, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Anne H O'Donnell
Robert A Rollins
Heather E Peckham
Clarence Lee
Maria H Milekic
Benjamin Chanrion
Yutao Fu
Tao Su
Hanina Hibshoosh
Jay A Gingrich
Fatemeh Haghighi
Robert Nutter
Timothy H Bestor
Columbia University · USNew York Psychoanalytic Society and Institute · USPfizer (United States) · USWashington University in St. Louis · US

Funding

Novel approach to whole genome methylation profiling of breast cancerR00CA127360 · NCI · WASHINGTON UNIVERSITY · PI EDWARDS, JOHN R. · 2010 to 2012
$732k
NCI NIH HHS R00 CA127360
6 · The paper itself

Abstract

Abnormalities of genomic methylation patterns are lethal or cause disease, but the cues that normally designate CpG dinucleotides for methylation are poorly understood. We have developed a new method of methylation profiling that has single-CpG resolution and can address the methylation status of repeated sequences. We have used this method to determine the methylation status of >275 million CpG sites in human and mouse DNA from breast and brain tissues. Methylation density at most sequences was found to increase linearly with CpG density and to fall sharply at very high CpG densities, but transposons remained densely methylated even at higher CpG densities. The presence of histone H2A.Z and histone H3 di- or trimethylated at lysine 4 correlated strongly with unmethylated DNA and occurred primarily at promoter regions. We conclude that methylation is the default state of most CpG dinucleotides in the mammalian genome and that a combination of local dinucleotide frequencies, the interaction of repeated sequences, and the presence or absence of histone variants or modifications shields a population of CpG sites (most of which are in and around promoters) from DNA methyltransferases that lack intrinsic sequence specificity.

Indexed as

DNA MethylationAnimalsBase SequenceBrainBreastChromatinChromosome MappingCpG IslandsFemaleGenomeHistonesHumansMiceSequence Analysis, DNAValidation Studies as TopicChromatinhistone H2A.F-ZHistones

Identifiers

PMID20488932
PMCPMC2892098
OpenAlexW2033188250

What OpenQuestion holds

Textmetadata
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.