Evidence map›Paper›PMID 28473875›Full record

ArticleClinical epigenetics2017

Genome-wide DNA methylation analysis reveals loci that distinguish different types of adipose tissue in obese individuals.

Donia Macartney-Coxson, Miles C Benton, Ray Blick, Richard S Stubbs, Ronald D Hagan, Michael A Langston

Abstract read
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. A graph theoretical approach to experimental prioritization in genome-scale investigations.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  5. Article
  6. Article
  7. Recent progress in epigenetics of obesity.Diabetology & metabolic syndrome · 2022
    Review
  8. Article
  9. Article
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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

6 authors.

Donia Macartney-CoxsonBiomarkers Group, Institute of Environmental Science and Research (ESR), Wellington, 5022 New Zealand.ORCID 0000-0002-1051-537X
Miles C BentonBiomarkers Group, Institute of Environmental Science and Research (ESR), Wellington, 5022 New Zealand.
Ray BlickBiomarkers Group, Institute of Environmental Science and Research (ESR), Wellington, 5022 New Zealand.
Richard S StubbsThe Wakefield Clinic, PO Box 7366, Wellington, 6242 New Zealand.
Ronald D HaganDepartment of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN 37996-2250 USA.
Michael A LangstonDepartment of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN 37996-2250 USA.

Funding

Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
NIAAA NIH HHS R01 AA018776
6 · The paper itself

Abstract

backgroundEpigenetic mechanisms provide an interface between environmental factors and the genome and are known to play a role in complex diseases such as obesity. These mechanisms, including DNA methylation, influence the regulation of development, differentiation and the establishment of cellular identity. Here we employ two approaches to identify differential methylation between two white adipose tissue depots in obese individuals before and after gastric bypass and significant weight loss. We analyse genome-wide DNA methylation data using (a) traditional paired

resultsSignificant differential methylation was observed for 3239 and 7722 CpG sites, including 784 and 1129 extended regions, between adipose tissue types before and after significant weight loss, respectively. The vast majority of these extended differentially methylated regions (702) were consistent across both time points and enriched for genes with a role in transcriptional regulation and/or development (e.g. homeobox genes). Other differentially methylated loci were only observed at one time point and thus potentially highlight genes important to adipose tissue dysfunction observed in obesity. Strong correlations (

conclusionsThis is the first study to report a genome-wide DNA methylome comparison of subcutaneous abdominal and omental adipose before and after weight loss. The combinatorial approach we utilised is a powerful tool for the identification of methylation loci that strongly differentiate between these tissues. This study provides a solid basis for future research focused on the development of adipose tissue and its potential dysfunction in obesity, as well as the role DNA methylation plays in these processes.

Indexed as

DNA MethylationAdipose Tissue, WhiteAdultAlgorithmsCpG IslandsEpigenesis, GeneticFemaleGastric BypassGene Expression RegulationGenome-Wide Association StudyHumansMaleMiddle AgedObesityOrgan SpecificityPromoter Regions, GeneticAdiposeBiomarkersDNA methylationEpigeneticsGraph-theoretical algorithmsObesity

Identifiers

PMID28473875
PMCPMC5415776

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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.