Evidence map›Paper›PMID 33432324›Full record

ReviewBriefings in bioinformatics2021

Deciphering the genetic code of DNA methylation.

Mengchi Wang, Vu Ngo, Wei Wang

Open access · greenAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

37 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  8. Lack of WDFY4 leads to impaired immune response and poor cancer prognosis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
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  17. Comprehensive analysis of PDE2A: a novel biomarker for prognostic value and immunotherapeutic potential in human cancers.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
  18. Somatic mutation as an explanation for epigenetic aging.bioRxiv : the preprint server for biology · 2023
    Article
  19. Article
  20. Article
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.

Mengchi WangBioinformatics and Systems Biology at University of California, USA.
Vu NgoBioinformatics and Systems Biology at University of California, USA.
Wei WangBioinformatics and Systems Biology, Department of Chemistry and Biochemistry, and Department of Cellular and Molecular Medicine at University of California, USA.

Funding

Integrated analysis of genetic variation and epigenomic dataR01HG009626 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2017 to 2025
$4.5M
NHGRI NIH HHS R01 HG009626
6 · The paper itself

Abstract

DNA methylation plays crucial roles in many biological processes and abnormal DNA methylation patterns are often observed in diseases. Recent studies have shed light on cis-acting DNA elements that regulate locus-specific DNA methylation, which involves transcription factors, histone modification and DNA secondary structures. In addition, several recent studies have surveyed DNA motifs that regulate DNA methylation and suggest potential applications in diagnosis and prognosis. Here, we discuss the current biological foundation for the cis-acting genetic code that regulates DNA methylation. We review the computational models that predict DNA methylation with genetic features and discuss the biological insights revealed from these models. We also provide an in-depth discussion on how to leverage such knowledge in clinical applications, particularly in the context of liquid biopsy for early cancer diagnosis and treatment.

Indexed as

CpG IslandsDNA MethylationEpigenesis, GeneticGenetic CodeModels, GeneticPromoter Regions, GeneticAnimalsHumanscancercfDNADNA methylationDNA motifliquid biopsy

Identifiers

PMID33432324
PMCPMC8425266
OpenAlexW3171875869

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.