Evidence map›Paper›PMID 30740682›Full record

ArticleInternational journal of cancer2019

Exploring a potential mechanistic role of DNA methylation in the relationship between in utero and post-natal environmental exposures and risk of childhood acute lymphoblastic leukaemia.

Jessica A Timms, Caroline L Relton, Gemma C Sharp, Judith Rankin, Gordon Strathdee, Jill A McKay

Open access · greenAbstract read
In one paragraph

Article in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Modulation of theInternational journal of molecular sciences · 2025
    Trial
  3. Gene-Temperature Interactions and Risk of Childhood Acute Lymphoblastic Leukemia.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. The Epigenetic Effects of Coffee.Molecules (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
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 at 4 institutions in 1 country.

Jessica A TimmsInstitute of Health & Society, Newcastle University, Newcastle, United Kingdom.ORCID 0000-0003-3687-9312
Caroline L ReltonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Gemma C SharpMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Judith RankinResearch Oncology, King's College London, Guy's Hospital, London.
Gordon StrathdeeNorthern Institute for Cancer Research, Newcastle University, United Kingdom.
Jill A McKayInstitute of Health & Society, Newcastle University, Newcastle, United Kingdom.
Guy's Hospital · GBUniversity of Bristol · GBNewcastle University · GBNorthumbria University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I025263/1Biotechnology and Biological Sciences Research Council BB/I025751/1Cancer Research UK 19169Cancer Research UK A19169Cancer Research UK C18281/A19169Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013_2Medical Research Council MR/K02325X/1Wellcome TrustWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

The aetiology of childhood acute lymphoblastic leukaemia (ALL) is unclear. Genetic abnormalities have been identified in a number of ALL cases, although these alone are not sufficient for leukaemic transformation. Various in utero and post-natal environmental exposures have been suggested to alter risk of childhood ALL. DNA methylation patterns can be influenced by environmental exposures, and are reported to be altered in ALL, suggesting a potential mediating mechanism between environment and ALL disease risk. To investigate this, we used a 'meet in the middle' approach, investigating the overlap between exposure-associated and disease-associated methylation change. Genome-wide DNA methylation changes in response to possible ALL-risk exposures (i.e. breast feeding, infection history, day care attendance, maternal smoking, alcohol, caffeine, folic acid, iron and radiation exposure) were investigated in a sub-population of the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort using an epigenome-wide association study (EWAS) approach (n = 861-927), and compared to a list of ALL disease-associated methylation changes compiled from published data. Hypergeometric probability tests suggested that the number of directionally concordant gene methylation changes observed in ALL disease and in response to the following exposures; maternal radiation exposure (p = 0.001), alcohol intake (p = 0.006); sugary caffeinated drink intake during pregnancy (p = 0.045); and infant day care attendance (p = 0.003), were not due to chance. Data presented suggests that DNA methylation may be one mediating mechanism in the multiple hit pathway needed for ALL disease manifestation.

Indexed as

DNA MethylationChildCpG IslandsEnvironmental ExposureFemaleGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansInfantLongitudinal StudiesMalePrecursor Cell Lymphoblastic Leukemia-LymphomaPregnancyPrenatal Exposure Delayed EffectsalcoholALSPACcaffeineradiationsmoking

Identifiers

PMID30740682
PMCPMC6790139
OpenAlexW2914151910

What OpenQuestion holds

Textmetadata
LicenceTDM
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.