Evidence map›Paper›PMID 21176136›Full record

ArticleBMC medicine2010

Epigenetics and obesity: the devil is in the details.

Paul W Franks, Charlotte Ling

Open access · goldAbstract readCommentEditorial
In one paragraph

Article in BMC medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Targeting TRIM Proteins: A Quest towards Drugging an Emerging Protein Class.Chembiochem : a European journal of chemical biology · 2021
    Review
  5. Article
  6. CD4Obesity (Silver Spring, Md.) · 2018
    Article
  7. Long-term effects of adolescent obesity: time to act.Nature reviews. Endocrinology · 2018
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Paul W FranksDepartment of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden. paul.franks@med.lu.se
Charlotte Ling
Skåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a complex disease with multiple well-defined risk factors. Nevertheless, susceptibility to obesity and its sequelae within obesogenic environments varies greatly from one person to the next, suggesting a role for gene × environment interactions in the etiology of the disorder. Epigenetic regulation of the human genome provides a putative mechanism by which specific environmental exposures convey risk for obesity and other human diseases and is one possible mechanism that underlies the gene × environment/treatment interactions observed in epidemiological studies and clinical trials. A study published in BMC Medicine this month by Wang et al. reports on an examination of DNA methylation in peripheral blood leukocytes of lean and obese adolescents, comparing methylation patterns between the two groups. The authors identified two genes that were differentially methylated, both of which have roles in immune function. Here we overview the findings from this study in the context of those emerging from other recent genetic and epigenetic studies, discuss the strengths and weaknesses of the study and speculate on the future of epigenetics in chronic disease research.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression RegulationAdolescentCpG IslandsGenome, HumanHumansLeukocytesObesity

Identifiers

PMID21176136
PMCPMC3019199
OpenAlexW2161774561

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.