Evidence map›Paper›PMID 28503201›Full record

ReviewEpigenetics & chromatin2017

DNA methylation and DNA methyltransferases.

John R Edwards, Olya Yarychkivska, Mathieu Boulard, Timothy H Bestor

Open access · goldAbstract readReview
In one paragraph

Review in Epigenetics & chromatin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed
20.5field-weighted citation impact, top 1% 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

240 citing papers in PubMed, 482 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Allele-specific methylation ofScience advances · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Epigenetic regulation of brain development, plasticity, and response to early-life stress.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article

180 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

4 authors at 2 institutions in 1 country.

John R EdwardsCenter for Pharmacogenomics, Department of Medicine, Washington University School of Medicine, St. Louis, MO USA.
Olya YarychkivskaDepartment of Genetics and Development, College of Physicians and Surgeons of Columbia University, New York, NY USA.
Mathieu BoulardDepartment of Genetics and Development, College of Physicians and Surgeons of Columbia University, New York, NY USA.
Timothy H BestorDepartment of Genetics and Development, College of Physicians and Surgeons of Columbia University, New York, NY USA.ORCID 0000-0003-3575-7663
Columbia University · USWashington University in St. Louis · US

Funding

MODELING DNA METHYLATION'S ROLE IN GENE REGULATIONR01GM108811 · NIGMS · WASHINGTON UNIVERSITY · PI EDWARDS, JOHN R. · 2014 to 2018
$1.7M
NIGMS NIH HHS R01 GM108811
6 · The paper itself

Abstract

The prevailing views as to the form, function, and regulation of genomic methylation patterns have their origin many years in the past, at a time when the structure of the mammalian genome was only dimly perceived, when the number of protein-encoding mammalian genes was believed to be at least five times greater than the actual number, and when it was not understood that only ~10% of the genome is under selective pressure and likely to have biological function. We use more recent findings from genome biology and whole-genome methylation profiling to provide a reappraisal of the shape of genomic methylation patterns and the nature of the changes that they undergo during gametogenesis and early development. We observe that the sequences that undergo deep changes in methylation status during early development are largely sequences without regulatory function. We also discuss recent findings that begin to explain the remarkable fidelity of maintenance methylation. Rather than a general overview of DNA methylation in mammals (which has been the subject of many reviews), we present a new analysis of the distribution of methylated CpG dinucleotides across the multiple sequence compartments that make up the mammalian genome, and we offer an updated interpretation of the nature of the changes in methylation patterns that occur in germ cells and early embryos. We discuss the cues that might designate specific sequences for demethylation or de novo methylation during development, and we summarize recent findings on mechanisms that maintain methylation patterns in mammalian genomes. We also describe the several human disorders, each very different from the other, that are caused by mutations in DNA methyltransferase genes.

Indexed as

GenomicsDNA (Cytosine-5-)-MethyltransferasesDNA MethylationGenome, HumanGerm CellsHumansMutationDNA (Cytosine-5-)-MethyltransferasesDNA cytosine methylationEpigeneticsMammalian DNA methyltransferasesMethylation dynamicsMethylation-related human diseases

Identifiers

PMID28503201
PMCPMC5422929
OpenAlexW2613822734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.