Evidence map›Paper›PMID 28221285›Full record

ArticlePain2017

Genome-wide methylation analysis of a large population sample shows neurological pathways involvement in chronic widespread musculoskeletal pain.

Gregory Livshits, Ida Malkin, Maxim B Freidin, Yudong Xia, Fei Gao, Jun Wang, Timothy D Spector, Alex MacGregor, Jordana T Bell, Frances M K Williams

Abstract read
In one paragraph

Article in Pain, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Epigenetic Landscapes of Pain: DNA Methylation Dynamics in Chronic Pain.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Methylation factors as biomarkers of fibromyalgia.Annals of translational medicine · 2023
    Article
  9. Article
  10. Article
  11. A Role for Global DNA Methylation Level andFrontiers in pain research (Lausanne, Switzerland) · 2021
    Article
  12. Review
  13. Article
  14. Observational
  15. Article
  16. Epigenetics and primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Article
  17. Review
  18. Article
  19. Article
  20. 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.

Gregory LivshitsaDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom bDepartment of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel cBeiging Genomic Institute-Shenzhen, Shenzhen, China dSchool of Medicine, University of East Anglia, Norwich, United Kingdom.
Ida Malkin
Maxim B Freidin
Yudong Xia
Fei Gao
Jun Wang
Timothy D Spector
Alex MacGregor
Jordana T Bell
Frances M K Williams

Funding

Arthritis Research UK 20682Department of HealthVersus Arthritis 20682Wellcome Trust
6 · The paper itself

Abstract

Chronic widespread musculoskeletal pain (CWP), has a considerable heritable component, which remains to be explained. Epigenetic factors may contribute to and account for some of the heritability estimate. We analysed epigenome-wide methylation using MeDIPseq in whole blood DNA from 1708 monozygotic and dizygotic Caucasian twins having CWP prevalence of 19.9%. Longitudinally stable methylation bins (lsBINs), were established by testing repeated measurements conducted ≥3 years apart, n = 292. DNA methylation variation at lsBINs was tested for association with CWP in a discovery set of 50 monozygotic twin pairs discordant for CWP, and in an independent dataset (n = 1608 twins), and the results from the 2 samples were combined using Fisher method. Functional interpretation of the most associated signals was based on functional genomic annotations, gene ontology, and pathway analyses. Of 723,029 signals identified as lsBINs, 26,399 lsBINs demonstrated the same direction of association in both discovery and replication datasets at nominal significance (P ≤ 0.05). In the combined analysis across 1708 individuals, whereas no lsBINs showed genome-wide significance (P < 10-8), 24 signals reached p≤9E-5, and these included association signals mapping in or near to IL17A, ADIPOR2, and TNFRSF13B. Bioinformatics analyses of the associated methylation bins showed enrichment for neurological pathways in CWP. We estimate that the variance explained by epigenetic factors in CWP is 6%. This, the largest study to date of DNA methylation in CWP, points towards epigenetic modification of neurological pathways in CWP and provides proof of principle of this method in teasing apart the complex risk factors for CWP.

Indexed as

Chromosome MappingChronic PainDNA MethylationFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedMusculoskeletal PainNeural Pathways

Identifiers

PMID28221285
PMCPMC5427989

What OpenQuestion holds

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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.