Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 332

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation

Open access
Guida, Florence, Sandanger, Torkjel M., Castagné, Raphaële, Campanella, Gianluca, Polidoro, Silvia, Palli, Domenico, Krogh, Vittorio, Tumino, Rosario, Sacerdote, Carlotta, Panico, Salvatore, Severi, Gianluca, Kyrtopoulos, Soterios A., Georgiadis, Panagiotis, Vermeulen, Roel C.H., Lund, Eiliv, Vineis, Paolo, Chadeau-Hyam, Marc·2015·Human Molecular Genetics

Abstract

Several studies have recently identified strong epigenetic signals related to tobacco smoking. However, an aspect that did not receive much attention is the evolution of epigenetic changes with time since smoking cessation. We conducted a series of epigenome-wide association studies to capture the dynamics of smoking-induced epigenetic changes after smoking cessation, using genome-wide methylation profiles obtained from blood samples in 745 women from 2 European populations. Two distinct classes of CpG sites were identified: sites whose methylation reverts to levels typical of never smokers within decades after smoking cessation, and sites remaining differentially methylated, even more than 35 years after smoking cessation. Our results suggest that the dynamics of methylation changes following smoking cessation are driven by a differential and site-specific magnitude of the smoking-induced alterations (with persistent sites being most affected) irrespective of the intensity and duration of smoking. Analyses of the link between methylation and expression levels revealed that methylation predominantly and remotely down-regulates gene expression. Among genes whose expression was associated with our candidate CpG sites, LRRN3 appeared to be particularly interesting as it was one of the few genes whose methylation and expression were directly associated, and the only gene in which both methylation and gene expression were found associated with smoking. Our study highlights persistent epigenetic markers of smoking, which can potentially be detected decades after cessation. Such historical signatures are promising biomarkers to refine individual risk profiling of smoking-induced chronic disease such as lung cancer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/hmg/ddu751

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 42 references

Cited by

See all 332

Metadata

Authors
Guida, F., Sandanger, T. M., Castagné, R., Campanella, G., Polidoro, S., Palli, D., Krogh, V., Tumino, R., Sacerdote, C., Panico, S., Severi, G., Kyrtopoulos, S. A., Georgiadis, P., Vermeulen, R. C. H., Lund, E., Vineis, P., & Chadeau-Hyam, M.
Venue
Human Molecular Genetics
Published
2015-01-02
Volume
24
Issue
8
Pages
2349-2359
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W2142309127
Cited by
332
References
42
FWCI
14.41
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation. https://app.cochat.ai/papers/10.1093/hmg/ddu751
The paper
Guida, F., Sandanger, T. M., Castagné, R., Campanella, G., Polidoro, S., Palli, D., Krogh, V., Tumino, R., Sacerdote, C., Panico, S., Severi, G., Kyrtopoulos, S. A., Georgiadis, P., Vermeulen, R. C. H., Lund, E., Vineis, P., & Chadeau-Hyam, M. (2015). Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddu751

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.