Evidence map›Paper›PMID 31552803›Full record

ArticleEpigenetics2020

Smoking and blood DNA methylation: an epigenome-wide association study and assessment of reversibility.

Pierre-Antoine Dugué, Chol-Hee Jung, Jihoon E Joo, Xiaochuan Wang, Ee Ming Wong, Enes Makalic, Daniel F Schmidt, Laura Baglietto, Gianluca Severi, Melissa C Southey and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Pierre-Antoine DuguéCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.ORCID 0000-0003-2736-3023
Chol-Hee JungMelbourne Bioinformatics, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0002-2992-3162
Jihoon E JooColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0003-3331-5335
Xiaochuan WangCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Ee Ming WongPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0003-3017-0871
Daniel F SchmidtCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Laura BagliettoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Gianluca SeveriCentre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine Universités Paris-Saclay, UVSQ, Gustave Roussy, Villejuif, France.ORCID 0000-0001-7157-419X
Melissa C SoutheyCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.ORCID 0000-0002-6313-9005
Dallas R EnglishCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
The University of Melbourne · AUCancer Council Victoria · AUInserm · FRUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a genome-wide association study of blood DNA methylation and smoking, attempted replication of previously discovered associations, and assessed the reversibility of smoking-associated methylation changes. DNA methylation was measured in baseline peripheral blood samples for 5,044 participants in the Melbourne Collaborative Cohort Study. For 1,032 participants, these measures were repeated using blood samples collected at follow-up, a median of 11 years later. A cross-sectional analysis of the association between smoking and DNA methylation and a longitudinal analysis of changes in smoking status and changes in DNA methylation were conducted. We used our cross-sectional analysis to replicate previously reported associations for current (N = 3,327) and former (N = 172) smoking. A comprehensive smoking index accounting for the biological half-life of smoking compounds and several aspects of smoking history was constructed to assess the reversibility of smoking-induced methylation changes. This measure of lifetime exposure to smoking allowed us to detect more associations than comparing current with never smokers. We identified 4,496 cross-sectional associations at P < 10

Indexed as

DNA MethylationEpigenomeAdultAgedCpG IslandsDNAFemaleGenome-Wide Association StudyHumansMaleMiddle AgedSmokingDNAbloodDNA MethylationEpigenome-wide association studyreplicationreversibilitySmoking

Identifiers

PMID31552803
PMCPMC7153547
OpenAlexW2975305655

What OpenQuestion holds

Textmetadata
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.