Evidence map›Paper›PMID 25589532›Full record

ArticleMutagenesis2015

Relationship between expression and methylation of obesity-related genes in children.

Veronica Davé, Paul Yousefi, Karen Huen, Vitaly Volberg, Nina Holland

Open access · bronzeAbstract read
In one paragraph

Article in Mutagenesis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Genes · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Linking the Epigenome with Exposure Effects and Susceptibility: The Epigenetic Seed and Soil Model.Toxicological sciences : an official journal of the Society of Toxicology · 2017
    Review
  11. Article
  12. Article
  13. Review
  14. 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

5 authors at 1 institution in 1 country.

Veronica DavéSchool of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, USA.
Paul YousefiSchool of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, USA.
Karen HuenSchool of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, USA.
Vitaly VolbergSchool of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, USA.
Nina HollandSchool of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, USA ninah@berkeley.edu.
University of California, Berkeley · US

Funding

Project C: Epigenetic Effects of DDT/E and PBDEs on PubertyP01ES009605 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA · 1999 to 2015
$11.2M
Molecular Mechanisms of Obesity in Children Exposed to Phthalates in UteroR01ES021369 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2013 to 2017
$3.1M
PON1 and Developmental Sensitivity to OP PesticidesR01ES012503 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2006 to 2010
$2.0M
PON Epigenetics and Neurodevelopment in ChildrenR01ES023067 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2014 to 2017
$1.3M
NIEHS NIH HHS 1R01ES021369-01A1NIEHS NIH HHS 1R01ES023067-01A1,NIEHS NIH HHS P01 ES009605NIEHS NIH HHS R01 ES012503NIEHS NIH HHS R01 ES021369NIEHS NIH HHS R01 ES023067
6 · The paper itself

Abstract

Epigenetic control of gene expression in children remains poorly understood, but new technologies can help elucidate the relationship between expression and DNA methylation. Here, we utilized the nCounter Analysis System to characterise the expression of 60 genes in 69 9-year-old children from a cohort with a high prevalence of obesity. nCounter expression levels ranged broadly (from 3 to over 10000 messenger RNA counts) and were divided into four categories: high (>2000 counts), moderate (200-1000 counts), low (100-200 counts) and marginal (<100 counts). For a subset of five genes (ADIPOR1, PPARG1, GSTM1, PON1 and ACACA) from different expression level categories, we validated nCounter data using reverse transcription-polymerase chain reaction (RT-PCR), and expanded RT-PCR analysis of ADIPOR1 to include 180 children. Expression data from the two methodologies were correlated for all five genes included in the validation experiment, with estimates ranging from r s = 0.26 (P = 0.02) to r s = 0.88 (P < 5×10(-6)). ADIPOR1 and PPARG1 nCounter expression levels were negatively correlated (r = -0.60, P < 5×10(-5)), and this relationship was stronger in overweight children (r = -0.73, P < 5×10(-5)) than in normal weight children (r = -0.42, P = 0.016). Using methylation data from the Infinium HumanMethylation450 BeadChip (n = 180), we found eight CpG sites in ADIPOR1 and PPARG where methylation level was associated with expression by RT-PCR (P < 0.05). Hypomethylation of PPARG gene body site cg10499651 was associated with increased expression as measured by both RT-PCR and nCounter (P < 0.05). We found no statistically significant relationships between either expression or methylation of ADIPOR1 and PPARG and body mass index or waist circumference. In addition to demonstrating the validity of expression data derived from nCounter, our results illustrate the use of new technologies in assessing epigenetic effects on expression in children.

Indexed as

DNA MethylationEpigenesis, GeneticGene ExpressionChildCpG IslandsFemaleGlutathione TransferaseHumansMaleObesityPPAR gammaReceptors, AdiponectinADIPOR1 protein, humanglutathione S-transferase T1Glutathione TransferasePPAR gammaReceptors, Adiponectin

Identifiers

PMID25589532
PMCPMC4422869
OpenAlexW2088925304

What OpenQuestion holds

Textmetadata
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Registered trials

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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.