Evidence map›Paper›PMID 29606093›Full record

ArticleBMC genomics2018

DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures.

Domenico Palumbo, Ornella Affinito, Antonella Monticelli, Sergio Cocozza

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

4 authors at 3 institutions in 1 country.

Domenico PalumboDepartment of Molecular Medicine and Medical Biotechnology (DMMBM), University of Naples "Federico II", Naples, Italy. domenico.palumbo@unina.it.ORCID http://orcid.org/0000-0001-5878-9428
Ornella AffinitoDepartment of Molecular Medicine and Medical Biotechnology (DMMBM), University of Naples "Federico II", Naples, Italy.
Antonella MonticelliInstitute for Experimental Endocrinology and Oncology (IEOS) "Gaetano Salvatore", CNR, Naples, Italy.
Sergio CocozzaDepartment of Molecular Medicine and Medical Biotechnology (DMMBM), University of Naples "Federico II", Naples, Italy.
University of Naples Federico II · ITFederico II University Hospital · ITInstitute for Experimental Endocrinology and Oncology · IT

Funding

CNR EPIGEN FLAGSHIP PROJECT SP6.6
6 · The paper itself

Abstract

backgroundIn recent years, epigenetics has gained a central role in the understanding of the process of natural selection. It is now clear how environmental impacts on the methylome could promote methylation variability with direct effects on disease etiology as well as phenotypic and genotypic variations in evolutionary processes. To identify possible factors influencing inter-individual methylation variability, we studied methylation values standard deviation of 166 healthy individuals searching for possible associations with genomic features and evolutionary signatures.

resultsWe analyzed methylation variability values in relation to CpG cluster density and we found a strong association between them (p-value < 2.2 × 10

conclusionOur results indicate the presence of an intricate interplay between genetics, epigenetic code and evolutionary constraints in humans.

Indexed as

CpG IslandsDNA MethylationGenetic VariationEpigenesis, GeneticEvolution, MolecularGenetic CodeHealthy VolunteersHumansMaleSelection, GeneticBloodGERP-RSMethylationSelective pressureVariability

Identifiers

PMID29606093
PMCPMC5880022
OpenAlexW2804710032

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.