Evidence map›Paper›PMID 24510982›Full record

ArticleInternational journal of epidemiology2014

F2RL3 methylation in blood DNA is a strong predictor of mortality.

Yan Zhang, Rongxi Yang, Barbara Burwinkel, Lutz P Breitling, Bernd Holleczek, Ben Schöttker, Hermann Brenner

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
10.6field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  20. Frontiers in genetics · 2022
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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

7 authors at 2 institutions in 1 country.

Yan ZhangDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Rongxi YangDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, GermanyDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Barbara BurwinkelDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, GermanyDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Lutz P BreitlingDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Bernd HolleczekDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Ben SchöttkerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany, Division of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany, Molecular Biology of Breast Cancer, Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany and Saarland Cancer Registry, Saarbrücken, Germany h.brenner@dkfz.de.
German Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is a major cause of morbidity and mortality. Smoking-related epigenetic biomarkers may open new avenues to better quantify the adverse health effects of smoking, and to better understanding of the underlying mechanisms. We aimed to evaluate the clinical implications of F2RL3 methylation, a novel epigenetic biomarker of smoking exposure disclosed by recent genome-wide methylation studies.

methodsBlood DNA methylation at F2RL3 (also known as PAR-4) was quantified in baseline samples of 3588 participants aged 50-75 years in a large population-based prospective cohort study by MALDI-TOF mass spectrometry. Deaths were recorded during a median follow-up of 10.1 years. The associations of methylation intensity and of smoking with all-cause, cardiovascular, cancer and other mortality were assessed by Cox's proportional hazards regression, controlling for potential confounding factors.

resultsLower methylation intensity at F2RL3 was strongly associated with mortality. After adjustment for multiple covariates including smoking, hazard ratios [95% confidence interval (CI)] for death from any cause, cardiovascular disease, cancer or other causes were 2.60 (95% CI, 1.81-3.74), 2.45 (95% CI, 1.28-4.68), 2.94 (95% CI, 1.68-5.14) and 2.39 (95% CI, 1.11-5.16), respectively, in subjects in the lowest quartile of methylation intensity compared with subjects in the highest quartile. The associations with mortality outcomes were much stronger among men than among women. In addition, strong positive associations of smoking with each of the outcomes were substantially weakened, and almost disappeared when controlling for F2RL3 methylation intensity.

conclusionsF2RL3 methylation is a strong predictor of mortality, including all-cause, cardiovascular, cancer and other mortality. Systemic adverse effects of smoking may be mediated by pathways associated with F2RL3 methylation.

Indexed as

DNA MethylationAgedCardiovascular DiseasesCohort StudiesEpigenesis, GeneticFemaleHumansMaleMiddle AgedMortalityNeoplasmsProportional Hazards ModelsReceptors, ThrombinSmokingprotease-activated receptor 4Receptors, ThrombinF2RL3 methylationmortalityPAR-4prospective studysmoking

Identifiers

PMID24510982
PMCPMC4258765
OpenAlexW2108548228

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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.