Evidence map›Paper›PMID 37643467›Full record

ArticleeLife2023

Effects of smoking on genome-wide DNA methylation profiles: A study of discordant and concordant monozygotic twin pairs.

Jenny van Dongen, Gonneke Willemsen, BIOS Consortium, Eco J C de Geus, Dorret I Boomsma, Michael C Neale

Open access · goldAbstract readTwin Study
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Smoking drives an epigenetic memory of aberrant hematopoiesis.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  15. 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

6 authors at 2 institutions in 2 countries.

Jenny van DongenDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-2063-8741
Gonneke WillemsenDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
BIOS Consortium
Eco J C de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Dorret I BoomsmaDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, United States.
Vrije Universiteit Amsterdam · NLVirginia Commonwealth University · US

Funding

Collaborative Study of Genetics of Dizygotic TwinningR01HD042157 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MONTGOMERY, GRANT W · 2002 to 2006
$2.0M
Extensions of Mendelian Randomization Methodology for Combined Genomic and Methylomic AnalysisR01DA049867 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2020 to 2024
$1.9M
NICHD NIH HHS R01 HD042157NIDA NIH HHS R01 DA049867
6 · The paper itself

Abstract

Background: Smoking-associated DNA methylation levels identified through epigenome-wide association studies (EWASs) are generally ascribed to smoking-reactive mechanisms, but the contribution of a shared genetic predisposition to smoking and DNA methylation levels is typically not accounted for. Methods: We exploited a strong within-family design, that is, the discordant monozygotic twin design, to study reactiveness of DNA methylation in blood cells to smoking and reversibility of methylation patterns upon quitting smoking. Illumina HumanMethylation450 BeadChip data were available for 769 monozygotic twin pairs (mean age = 36 years, range = 18-78, 70% female), including pairs discordant or concordant for current or former smoking. Results: In pairs discordant for current smoking, 13 differentially methylated CpGs were found between current smoking twins and their genetically identical co-twin who never smoked. Top sites include multiple CpGs in Conclusions: In conclusion, by analysing data from monozygotic twins, we robustly demonstrate that DNA methylation level in human blood cells is reactive to cigarette smoking. Funding: We acknowledge funding from the National Institute on Drug Abuse grant DA049867, the Netherlands Organization for Scientific Research (NWO): Biobanking and Biomolecular Research Infrastructure (BBMRI-NL, NWO 184.033.111) and the BBRMI-NL-financed BIOS Consortium (NWO 184.021.007), NWO Large Scale infrastructures X-Omics (184.034.019), Genotype/phenotype database for behaviour genetic and genetic epidemiological studies (ZonMw Middelgroot 911-09-032); Netherlands Twin Registry Repository: researching the interplay between genome and environment (NWO-Groot 480-15-001/674); the Avera Institute, Sioux Falls (USA), and the National Institutes of Health (NIH R01 HD042157-01A1, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995); epigenetic data were generated at the Human Genomics Facility (HuGe-F) at ErasmusMC Rotterdam. Cotinine assaying was sponsored by the Neuroscience Campus Amsterdam. DIB acknowledges the Royal Netherlands Academy of Science Professor Award (PAH/6635).

Indexed as

DNA MethylationTwins, MonozygoticAdolescentAdultAgedBiological Specimen BanksEpigenomeFemaleHumansMaleMiddle AgedSmokingUnited StatesYoung Adultdiscordant twinsDNA methylationepidemiologyepigeneticsgeneticsgenomicsglobal healthhumanidentical twinstwin study

Identifiers

PMID37643467
PMCPMC10501767
OpenAlexW4385724551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.