Evidence map›Paper›PMID 26015811›Full record

ArticleClinical epigenetics2015

Tobacco smoking is associated with methylation of genes related to coronary artery disease.

Rebecca V Steenaard, Symen Ligthart, Lisette Stolk, Marjolein J Peters, Joyce B van Meurs, Andre G Uitterlinden, Albert Hofman, Oscar H Franco, Abbas Dehghan

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  20. TSLP and TSLP receptors variants are associated with smoking.Molecular genetics & genomic medicine · 2019
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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

9 authors at 2 institutions in 1 country.

Rebecca V SteenaardDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands ; Netherlands Institute for Health Sciences, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Symen LigthartDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Lisette StolkDepartment of Internal Medicine, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Marjolein J PetersDepartment of Internal Medicine, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands ; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Einthovenweg 20, 2333 ZC Leiden/ 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Joyce B van MeursDepartment of Internal Medicine, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Andre G UitterlindenDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands ; Department of Internal Medicine, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands ; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Einthovenweg 20, 2333 ZC Leiden/ 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Albert HofmanDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Oscar H FrancoDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Abbas DehghanDepartment of Epidemiology, Erasmus University Medical Centre, 's Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
Erasmus University Rotterdam · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco smoking, a risk factor for coronary artery disease (CAD), is known to modify DNA methylation. We hypothesized that tobacco smoking modifies methylation of the genes identified for CAD by genome-wide association study (GWAS).

resultsWe selected genomic regions based on 150 single-nucleotide polymorphisms (SNPs) identified in the largest GWAS on CAD. We investigated the association between current smoking and the CpG sites within and near these CAD-related genes. Methylation was measured with the Illumina Human Methylation 450K array in whole blood of 724 Caucasian subjects from the Rotterdam Study, a Dutch population based cohort study. A total of 3669 CpG sites within 169 CAD-related genes were studied for association with current compared to never smoking. Fifteen CpG sites were significantly associated after correction for multiple testing (Bonferroni-corrected p value <1.4 × 10(-5)). These sites were located in the genes TERT, SARS, GNGT2, SMG6, SKI, TOM1L2, SIPA1, MRAS, CDKN1A, LRRC2, FES and RPH3A. In 12 sites, current smoking was associated with a 1.2 to 2.4 % lower methylation compared to never smoking; and in three sites, it was associated with a 1.2 to 1.8 % higher methylation. The effect estimates were lower in 10 of the 15 CpG sites when comparing current to former smoking. One CpG site, cg05603985 (SKI), was found to be associated with expression of nearby CAD-related gene PRKCZ.

conclusionsOur study suggests an effect of tobacco smoking on DNA methylation of CAD-related genes and thus provides novel insights in the pathways that link tobacco smoking to risk of CAD.

Indexed as

Coronary artery diseaseDNA methylationmRNA expressionTobacco smokingWhite blood cells

Identifiers

PMID26015811
PMCPMC4443552
OpenAlexW1600645745

What OpenQuestion holds

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Registered trials

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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.