Evidence map›Paper›PMID 36253871›Full record

ArticleGenome biology2022

Local CpG density affects the trajectory and variance of age-associated DNA methylation changes.

Jonathan Higham, Lyndsay Kerr, Qian Zhang, Rosie M Walker, Sarah E Harris, David M Howard, Emma L Hawkins, Anca-Larisa Sandu, J Douglas Steele, Gordon D Waiter and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Smoking drives an epigenetic memory of aberrant hematopoiesis.medRxiv : the preprint server for health sciences · 2026
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  14. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
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  16. Article
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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

17 authors at 9 institutions in 2 countries.

Jonathan HighamMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Lyndsay KerrMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6667-7175
Qian ZhangInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Rosie M WalkerCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Sarah E HarrisDepartment of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, Edinburgh, UK.
David M HowardSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Emma L HawkinsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Anca-Larisa SanduAberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
J Douglas SteeleDivision of Imaging Science and Technology, Medical School, University of Dundee, Dundee, UK.
Gordon D WaiterAberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
Alison D MurrayAberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Peter M VisscherInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Ian J DearyDepartment of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, Edinburgh, UK.
Simon R CoxDepartment of Psychology, Lothian Birth Cohorts Group, University of Edinburgh, Edinburgh, UK.
Duncan SproulMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. d.sproul@ed.ac.uk.ORCID 0000-0001-6168-4563
University of Aberdeen · GBUniversity of Edinburgh · GBEdinburgh Cancer Research · GBInstitute of Genetics and Cancer · GBRoyal Edinburgh Hospital · GBThe University of Queensland · AUKing's College London · GBUniversity of Dundee · GBUniversity of Exeter · GB

Funding

Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Cancer Research UK 20837Cancer Research UK C47648/A20837Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MC_PC_17209Medical Research Council MC_UU_00009/2Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1Medical Research Council MR/S035818/1NIA NIH HHS R01 AG054628Wellcome Trust 221890/Z/20/Z
6 · The paper itself

Abstract

backgroundDNA methylation is an epigenetic mark associated with the repression of gene promoters. Its pattern in the genome is disrupted with age and these changes can be used to statistically predict age with epigenetic clocks. Altered rates of aging inferred from these clocks are observed in human disease. However, the molecular mechanisms underpinning age-associated DNA methylation changes remain unknown. Local DNA sequence can program steady-state DNA methylation levels, but how it influences age-associated methylation changes is unknown.

resultsWe analyze longitudinal human DNA methylation trajectories at 345,895 CpGs from 600 individuals aged between 67 and 80 to understand the factors responsible for age-associated epigenetic changes at individual CpGs. We show that changes in methylation with age occur at 182,760 loci largely independently of variation in cell type proportions. These changes are especially apparent at 8322 low CpG density loci. Using SNP data from the same individuals, we demonstrate that methylation trajectories are affected by local sequence polymorphisms at 1487 low CpG density loci. More generally, we find that low CpG density regions are particularly prone to change and do so variably between individuals in people aged over 65. This differs from the behavior of these regions in younger individuals where they predominantly lose methylation.

conclusionsOur results, which we reproduce in two independent groups of individuals, demonstrate that local DNA sequence influences age-associated DNA methylation changes in humans in vivo. We suggest that this occurs because interactions between CpGs reinforce maintenance of methylation patterns in CpG dense regions.

Indexed as

DNA MethylationEpigenesis, GeneticAgedAged, 80 and overAgingCpG IslandsEpigenomicsHumans

Identifiers

PMID36253871
PMCPMC9575273
OpenAlexW4306404427

What OpenQuestion holds

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LicenceCC BY
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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.