Evidence map›Paper›PMID 30736859›Full record

ArticleClinical epigenetics2019

DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns.

Jesper Beltoft Lund, Shuxia Li, Jan Baumbach, Anne Marie Svane, Jacob Hjelmborg, Lene Christiansen, Kaare Christensen, Paul Redmond, Riccardo E Marioni, Ian J Deary and 1 more

Abstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Nutritional Epigenomics and Age-Related Disease.Current developments in nutrition · 2020
    Article
  8. Article
  9. DNA Methylation Is Predictive of Mortality in Current and Former Smokers.American journal of respiratory and critical care medicine · 2020
    Article
  10. Article
  11. 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.

Jesper Beltoft LundEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark.ORCID 0000-0001-9483-1603
Shuxia LiUnit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-8095-3175
Jan BaumbachDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Anne Marie SvaneEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark.
Jacob HjelmborgEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark.
Lene ChristiansenEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark.
Kaare ChristensenEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark.
Paul RedmondDepartment of Psychology, University of Edinburgh, Edinburgh, Scotland, UK.
Riccardo E MarioniCenter for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland, UK.
Ian J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, Scotland, UK.
Qihua TanEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark. qtan@health.sdu.dk.ORCID 0000-0003-3194-0030

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council MR/K026992/1Wellcome Trust
6 · The paper itself

Abstract

backgroundMultiple epigenome-wide association studies have been performed to identify DNA methylation patterns regulated by aging or correlated with risk of death. However, the inter-relatedness of the epigenetic basis of aging and mortality has not been well investigated.

methodsUsing genome-wide DNA methylation data from the Lothian Birth Cohorts, we conducted a genome-wide association analysis of all-cause mortality and compared this with age-associated methylation patterns reported on the same samples.

resultsSurvival analysis using the Cox regression model identified 2552 CpG sites with genome-wide significance (false discovery rate < 0.05) for all-cause mortality. CpGs whose methylation levels are associated with increased mortality appear more distributed from the gene body to the intergenic regions whereas CpGs whose methylation levels are associated with decreased mortality is more concentrated at the promoter regions. In comparison with reported CpGs displaying significant age-dependent methylation patterns in the same samples, we observed a limited but highly significant overlap between mortality-associated and age-associated CpGs (p value 2.52e-06). Most importantly, the overlapping CpGs are dominated by those whose overall age-related methylation patterns reduce the risk of death.

conclusionAll-cause mortality is significantly associated with altered methylation at multiple genomic sites with differential distribution in gene regions for CpGs correlated with increased or decreased risk of death. The age-dependent methylation changes could reflect an active response to the aging process that contributes to maintain individual survival.

Indexed as

CpG IslandsDNA MethylationAgedAge FactorsEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansMaleSurvival AnalysisSurvival RateAgingDNA methylationEpigenome-wide association studyMortalityOld cohorts

Identifiers

PMID30736859
PMCPMC6368749

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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.