Evidence map›Paper›PMID 30348214›Full record

ArticleGenome medicine2018

Genotype effects contribute to variation in longitudinal methylome patterns in older people.

Qian Zhang, Riccardo E Marioni, Matthew R Robinson, Jon Higham, Duncan Sproul, Naomi R Wray, Ian J Deary, Allan F McRae, Peter M Visscher

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  5. Genetic heritage of war: exploring transgenerational inheritance of PTSD and its molecular background.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
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  15. Review
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  18. The Aryl Hydrocarbon Receptor, Epigenetics and the Aging Process.The journal of nutrition, health & aging · 2023
    Article
  19. Article
  20. 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

9 authors at 4 institutions in 2 countries.

Qian ZhangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia. q.zhang@uq.edu.au.ORCID 0000-0002-0769-1057
Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Matthew R RobinsonInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Jon HighamMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Duncan SproulMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.
Allan F McRaeInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
The University of Queensland · AUEdinburgh Cancer Research · GBInstitute of Genetics and Cancer · GBUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Cancer Research UK 20837Chief Scientist OfficeMedical Research Council MR/K026992/1Wellcome Trust
6 · The paper itself

Abstract

backgroundDNA methylation levels change along with age, but few studies have examined the variation in the rate of such changes between individuals.

methodsWe performed a longitudinal analysis to quantify the variation in the rate of change of DNA methylation between individuals using whole blood DNA methylation array profiles collected at 2-4 time points (N = 2894) in 954 individuals (67-90 years).

resultsAfter stringent quality control, we identified 1507 DNA methylation CpG sites (rsCpGs) with statistically significant variation in the rate of change (random slope) of DNA methylation among individuals in a mixed linear model analysis. Genes in the vicinity of these rsCpGs were found to be enriched in Homeobox transcription factors and the Wnt signalling pathway, both of which are related to ageing processes. Furthermore, we investigated the SNP effect on the random slope. We found that 4 out of 1507 rsCpGs had one significant (P < 5 × 10

conclusionsWe identified CpG sites that have variability in the rate of change of DNA methylation between individuals, and our results suggest a genetic basis of this variation. Genes around these CpG sites have been reported to be involved in the ageing process.

Indexed as

AgedAged, 80 and overCpG IslandsDNA MethylationFemaleGenome, HumanGenotypeHumansInheritance PatternsMalePolymorphism, Single NucleotideDNA methylationG by AGELongitudinal analysisMethylation change

Identifiers

PMID30348214
PMCPMC6198530
OpenAlexW2897825444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.