Evidence map›Paper›PMID 36443762›Full record

ArticleClinical epigenetics2022

Blood DNA methylation signatures of lifestyle exposures: tobacco and alcohol consumption.

Jonviea D Chamberlain, Sébastien Nusslé, Laurence Chapatte, Cassandre Kinnaer, Dusan Petrovic, Sylvain Pradervand, Murielle Bochud, Sarah E Harris, Janie Corley, Simon R Cox and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2022. 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
1.4field-weighted citation impact, top 19% 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, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. 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

11 authors at 3 institutions in 2 countries.

Jonviea D ChamberlainDepartment of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Route de la Corniche 10, 1010, Lausanne, Switzerland. jonviea.chamberlain@unisante.ch.
Sébastien NussléGenknowme, Epalinges, Switzerland.
Laurence ChapatteGenknowme, Epalinges, Switzerland.
Cassandre KinnaerGenknowme, Epalinges, Switzerland.
Dusan PetrovicDepartment of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Route de la Corniche 10, 1010, Lausanne, Switzerland.
Sylvain PradervandVital-IT Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Murielle BochudDepartment of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Route de la Corniche 10, 1010, Lausanne, Switzerland.
Sarah E HarrisLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Janie CorleyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Semira Gonseth NussléDepartment of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Route de la Corniche 10, 1010, Lausanne, Switzerland.
Centre universitaire de médecine générale et santé publique, Lausanne · CHNHS Lothian · GBSIB Swiss Institute of Bioinformatics · CH

Funding

Biotechnology and Biological Sciences Research Council BB/W008793/1Medical Research Council MR/M01311/1Medical Research Council MR/M013111/1Wellcome Trust 221,890/Z/20/Z
6 · The paper itself

Abstract

backgroundSmoking and alcohol consumption may compromise health by way of epigenetic modifications. Epigenetic signatures of alcohol and tobacco consumption could provide insights into the reversibility of phenotypic changes incurred with differing levels of lifestyle exposures. This study describes and validates two novel epigenetic signatures of tobacco (EpiTob) and alcohol (EpiAlc) consumption and investigates their association with disease outcomes.

methodsThe epigenetic signatures, EpiTob and EpiAlc, were developed using data from the Swiss Kidney Project on Genes in Hypertension (SKIPOGH) (N = 689). Epigenetic and phenotypic data available from the 1921 (N = 550) and 1936 (N = 1091) Lothian Birth Cohort (LBC) studies, and two publicly available datasets on GEO Accession (GSE50660, N = 464; and GSE110043, N = 94) were used to validate the signatures. A multivariable logistic regression model, adjusting for age and sex, was used to assess the association between self-reported tobacco or alcohol consumption and the respective epigenetic signature, as well as to estimate the association between CVD and epigenetic signatures. A Cox proportional hazard model was used to estimate the risk of mortality in association with the EpiTob and EpiAlc signatures.

resultsThe EpiTob signature was positively associated with self-reported tobacco consumption for current or never smokers with explained variance ranging from 0.49 (LBC1921) to 0.72 (LBC1936) (pseudo-R

conclusionsThis study found the EpiTob and EpiAlc signatures to be well-correlated with self-reported exposure status and associated with long-term health outcomes. Epigenetic signatures of lifestyle exposures may reduce measurement issues and biases and could aid in risk stratification for informing early-stage targeted interventions.

Indexed as

Cardiovascular DiseasesAlcohol DrinkingDNA MethylationEthanolHumansLife StyleNicotianaTobacco UseEthanolAlcohol consumptionEpigenetic epidemiologyEpigenetic signatureLifestyle exposuresTobacco consumption

Identifiers

PMID36443762
PMCPMC9706852
OpenAlexW4310157145

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.