Evidence map›Paper›PMID 22532803›Full record

ArticlePLoS genetics2012

Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population.

Jordana T Bell, Pei-Chien Tsai, Tsun-Po Yang, Ruth Pidsley, James Nisbet, Daniel Glass, Massimo Mangino, Guangju Zhai, Feng Zhang, Ana Valdes and 13 more

Registry-linked trialOpen access · goldAbstract readTwin Study
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03353597 (Reversing Epigenetic & Other Markers of Senescence by Transfusing Young Plasma To Older Human Subjects), which is not on this map. Cited by 405 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
405citing papers in PubMed, 4 pooled it
31.4field-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.

NCT03353597 phase1 / phase2unknown statusnot on this mapstarted 2018, after this paper: background citation

Reversing Epigenetic & Other Markers of Senescence by Transfusing Young Plasma To Older Human Subjects

TypeinterventionalSponsorChandra DuggiralaRan2018 to 2022Enrolled2,120ConditionsAgingArmsPlasma Transfusion
3 · Its place in the literature

Who cites it

405 citing papers in PubMed, 4 syntheses or guidelines pooled it, 715 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

23 authors at 6 institutions in 3 countries.

Jordana T BellWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. jordana.bell@kcl.ac.uk
Pei-Chien Tsai
Tsun-Po Yang
Ruth Pidsley
James Nisbet
Daniel Glass
Massimo Mangino
Guangju Zhai
Feng Zhang
Ana Valdes
So-Youn Shin
Emma L Dempster
Robin M Murray
Elin Grundberg
Asa K Hedman
Alexandra Nica
Kerrin S Small
MuTHER Consortium
Emmanouil T Dermitzakis
Mark I McCarthy
Jonathan Mill
Tim D Spector
Panos Deloukas
King's College London · GBWellcome Sanger Institute · GBCentre for Human Genetics · GBUniversity of Geneva · CHMemorial University of Newfoundland · CAUniversity of Oxford · GB

Funding

European Research Council 250157Medical Research Council G0900339Wellcome Trust 090532Wellcome Trust 095515
6 · The paper itself

Abstract

Age-related changes in DNA methylation have been implicated in cellular senescence and longevity, yet the causes and functional consequences of these variants remain unclear. To elucidate the role of age-related epigenetic changes in healthy ageing and potential longevity, we tested for association between whole-blood DNA methylation patterns in 172 female twins aged 32 to 80 with age and age-related phenotypes. Twin-based DNA methylation levels at 26,690 CpG-sites showed evidence for mean genome-wide heritability of 18%, which was supported by the identification of 1,537 CpG-sites with methylation QTLs in cis at FDR 5%. We performed genome-wide analyses to discover differentially methylated regions (DMRs) for sixteen age-related phenotypes (ap-DMRs) and chronological age (a-DMRs). Epigenome-wide association scans (EWAS) identified age-related phenotype DMRs (ap-DMRs) associated with LDL (STAT5A), lung function (WT1), and maternal longevity (ARL4A, TBX20). In contrast, EWAS for chronological age identified hundreds of predominantly hyper-methylated age DMRs (490 a-DMRs at FDR 5%), of which only one (TBX20) was also associated with an age-related phenotype. Therefore, the majority of age-related changes in DNA methylation are not associated with phenotypic measures of healthy ageing in later life. We replicated a large proportion of a-DMRs in a sample of 44 younger adult MZ twins aged 20 to 61, suggesting that a-DMRs may initiate at an earlier age. We next explored potential genetic and environmental mechanisms underlying a-DMRs and ap-DMRs. Genome-wide overlap across cis-meQTLs, genotype-phenotype associations, and EWAS ap-DMRs identified CpG-sites that had cis-meQTLs with evidence for genotype-phenotype association, where the CpG-site was also an ap-DMR for the same phenotype. Monozygotic twin methylation difference analyses identified one potential environmentally-mediated ap-DMR associated with total cholesterol and LDL (CSMD1). Our results suggest that in a small set of genes DNA methylation may be a candidate mechanism of mediating not only environmental, but also genetic effects on age-related phenotypes.

Indexed as

DNA MethylationEpigenesis, GeneticQuantitative Trait LociAdultAgedAged, 80 and overAgingCellular SenescenceCpG IslandsFemaleGene-Environment InteractionGenetic Association StudiesGenome, HumanGenome-Wide Association StudyHumansLongevity

Identifiers

PMID22532803
PMCPMC3330116
OpenAlexW2136691282

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.