Evidence map›Paper›PMID 30389506›Full record

Trial reportEBioMedicine2018

Epigenetic signatures of starting and stopping smoking.

Daniel L McCartney, Anna J Stevenson, Robert F Hillary, Rosie M Walker, Mairead L Bermingham, Stewart W Morris, Toni-Kim Clarke, Archie Campbell, Alison D Murray, Heather C Whalley and 6 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

56 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Proteomic prediction of disease largely reflects environmental risk exposure.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Article
  7. A blood- and brain-based EWAS of smoking.Nature communications · 2025
    Article
  8. Airway Spatial Transcriptomics in Smoking.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Review
  10. Article
  11. Lessons we learned from the Lothian Birth Cohorts of 1921 and 1936.Genomic psychiatry : advancing science from genes to society · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

16 authors at 5 institutions in 2 countries.

Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Anna J StevensonCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Robert F HillaryCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Rosie M WalkerCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Mairead L BerminghamCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Stewart W MorrisCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Toni-Kim ClarkeDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Alison D MurrayAberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, Scotland, United Kingdom.
Heather C WhalleyDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Peter M VisscherCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Andrew M McIntoshCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, Scotland, United Kingdom. Electronic address: riccardo.marioni@ed.ac.uk.
Edinburgh Cancer Research · GBUniversity of Edinburgh · GBRoyal Edinburgh Hospital · GBUniversity of Aberdeen · GBUniversity of Queensland · AU

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council MR/K026992/1Wellcome Trust
6 · The paper itself

Abstract

backgroundMultiple studies have made robust associations between differential DNA methylation and exposure to cigarette smoke. But whether a DNA methylation phenotype is established immediately upon exposure, or only after prolonged exposure is less well-established. Here, we assess DNA methylation patterns from peripheral blood samples in current smokers in response to dose and duration of exposure, along with the effects of smoking cessation on DNA methylation in former smokers.

methodsDimensionality reduction was applied to DNA methylation data at 90 previously identified smoking-associated CpG sites for over 4900 individuals in the Generation Scotland cohort. K-means clustering was performed to identify clusters associated with current and never smoker status based on these methylation patterns. Cluster assignments were assessed with respect to duration of exposure in current smokers (years as a smoker), time since smoking cessation in former smokers (years), and dose (cigarettes per day).

findingsTwo clusters were specified, corresponding to never smokers (97·5% of whom were assigned to Cluster 1) and current smokers (81·1% of whom were assigned to Cluster 2). The exposure time point from which >50% of current smokers were assigned to the smoker-enriched cluster varied between 5 and 9 years in heavier smokers and between 15 and 19 years in lighter smokers. Low-dose former smokers were more likely to be assigned to the never smoker-enriched cluster in the first year following cessation. In contrast, a period of at least two years was required before the majority of former high-dose smokers were assigned to the never smoker-enriched cluster.

interpretationOur findings suggest that smoking-associated DNA methylation changes are a result of prolonged exposure to cigarette smoke, and can be reversed following cessation. The length of time in which these signatures are established and recovered is dose dependent. Should DNA methylation-based signatures of smoking status be predictive of smoking-related health outcomes, our findings may provide an additional criterion on which to stratify risk.

Indexed as

CpG IslandsDNA MethylationEpigenesis, GeneticSmoking CessationAdultFemaleHumansMaleMiddle AgedSmokingDNA methylationEpidemiologyEpigeneticsSmoking

Identifiers

PMID30389506
PMCPMC6286188
OpenAlexW2888810204

What OpenQuestion holds

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LicenceCC BY
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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.