Evidence map›Paper›PMID 27832094›Full record

ArticlePloS one2016

Are Epigenetic Factors Implicated in Chronic Widespread Pain?

Andrea Burri, Zoya Marinova, Mark D Robinson, Brigitte Kühnel, Melanie Waldenberger, Simone Wahl, Sonja Kunze, Christian Gieger, Gregory Livshits, Frances Williams

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Epigenetic Landscapes of Pain: DNA Methylation Dynamics in Chronic Pain.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. A Role for Global DNA Methylation Level andFrontiers in pain research (Lausanne, Switzerland) · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

10 authors.

Andrea BurriHealth and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand.
Zoya MarinovaDepartment of Psychosomatic Medicine, Clinic Barmelweid, Barmelweid 5017, Switzerland.
Mark D RobinsonSIB Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.
Brigitte KühnelResearch Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany.
Melanie WaldenbergerResearch Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany.
Simone WahlResearch Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany.
Sonja KunzeResearch Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany.
Christian GiegerResearch Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany.
Gregory LivshitsSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Frances WilliamsDepartment of Twin Research and Genetic Epidemiology, King's College London, St.Thomas´ Hospital, Westminster Bridge Road SE1 7EH, London, United Kingdom.

Funding

Versus Arthritis 20682Wellcome Trust
6 · The paper itself

Abstract

backgroundChronic widespread musculoskeletal pain (CWP) is the cardinal symptom of fibromyalgia and affects about 12% of the general population. Familial aggregation of CWP has been repeatedly demonstrated with estimated heritabilities of around 50%, indicating a genetic susceptibility. The objective of the study was to explore genome-wide disease-differentially methylated positions (DMPs) for chronic widespread pain (CWP) in a sample of unrelated individuals and a subsample of discordant monozygotic (MZ) twins. METHODOLOGY/PRINCIPLE

findingsA total of N = 281 twin individuals from the TwinsUK registry, including N = 33 MZ twins discordant for self-reported CWP, were part of the discovery sample. The replication sample included 729 men and 756 women from a subsample of the KORA S4 survey-an independent population-based cohort from Southern Germany. Epigenome-wide analysis of DNA methylation was conducted using the Illumina Infinium HumanMethylation 450 DNA BeadChip in both the discovery and replication sample. Of our 40 main loci that were carried forward for replication, three CPGs reached significant p-values in the replication sample, including malate dehydrogenase 2 (MDH2; p-value 0.017), tetranectin (CLEC3B; p-value 0.039), and heat shock protein beta-6 (HSPB6; p-value 0.016). The associations between the collagen type I, alpha 2 chain (COL1A2) and monoamine oxidase B (MAOB) observed in the discovery sample-both of which have been previously reported to be biological candidates for pain-could not be replicated. CONCLUSION/SIGNIFICANCE: Our results may serve as a starting point to encourage further investigation in large and independent population-based cohorts of DNA methylation and other epigenetic changes as possible disease mechanisms in CWP. Ultimately, understanding the key mechanisms underlying CWP may lead to new treatments and inform clinical practice.

Indexed as

DNA MethylationEpigenesis, GeneticAgedChronic PainFemaleFibromyalgiaGenetic Predisposition to DiseaseGenome-Wide Association StudyHSP20 Heat-Shock ProteinsHumansLectins, C-TypeMalate DehydrogenaseMaleMiddle AgedMusculoskeletal PainPolymorphism, Single NucleotideHSP20 Heat-Shock ProteinsHSPB6 protein, humanLectins, C-TypeMalate DehydrogenaseMDH2 protein, humantetranectin

Identifiers

PMID27832094
PMCPMC5104434

What OpenQuestion holds

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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.