Evidence map›Paper›PMID 24163245›Full record

ArticleHuman molecular genetics2014

Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites.

Ines Florath, Katja Butterbach, Heiko Müller, Melanie Bewerunge-Hudler, Hermann Brenner

Abstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 4 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

177 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Advances in body fluid identification: MiRNA markers as powerful tool.International journal of legal medicine · 2024
    Pooled it
  3. Pooled it
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  6. DNA Methylation Predicts Progression of Human Gastric Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Trial
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  10. Frontiers in medicine · 2026
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  20. Review

117 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ines FlorathDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Katja Butterbach
Heiko Müller
Melanie Bewerunge-Hudler
Hermann Brenner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the role of epigenetic modifications, e.g. DNA methylation, in the process of aging requires the characterization of methylation patterns in large cohorts. We analysed >480 000 CpG sites using Infinium HumanMethylation450 BeadChip (Illumina) in whole blood DNA of 965 participants of a population-based cohort study aged between 50 and 75 years. In an exploratory analysis in 400 individuals, 200 CpG sites with the highest Spearman correlation coefficients for the association between methylation and age were identified. Of these 200 CpGs, 162 were significantly associated with age, which was verified in an independent cohort of 498 individuals using mixed linear regression models adjusted for gender, smoking behaviour, age-related diseases and random batch effect and corrected for multiple testing by Bonferroni. In another independent cohort of 67 individuals without history of major age-related diseases and with a follow-up of 8 years, we observed a gain in methylation at 96% (52%, significant) of the positively age-associated CpGs and a loss at all (89%, significant) of the negatively age-associated CpGs in each individual while getting 8 years older. A regression model for age prediction based on 17 CpGs as predicting variables explained 71% of the variance in age with an average accuracy of 2.6 years. In comparison with cord blood samples obtained from the Ulm Birth Cohort Study, we observed a more than 2-fold change in mean methylation levels from birth to older age at 86 CpGs. We were able to identify 65 novel CpG sites with significant association of methylation with age.

Indexed as

DNA MethylationAgedAged, 80 and overAge FactorsAgingCpG IslandsCross-Sectional StudiesEpigenesis, GeneticEpigenomicsGenome-Wide Association StudyHumansInfant, NewbornLongitudinal StudiesMiddle AgedMolecular Sequence AnnotationPolymorphism, Single Nucleotide

Identifiers

PMID24163245
PMCPMC3919014

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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.