Evidence map›Paper›PMID 37597113›Full record

ArticleGeroScience2024

Insights into ageing rates comparison across tissues from recalibrating cerebellum DNA methylation clock.

Yucheng Wang, Olivia A Grant, Xiaojun Zhai, Klaus D Mcdonald-Maier, Leonardo C Schalkwyk

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 43 citations in OpenAlex.

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  13. Preliminary Investigation of the Association Between Epigenetic Aging Acceleration and Amyloid Biomarkers in Bipolar Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
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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

5 authors at 1 institution in 1 country.

Yucheng WangSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK.
Olivia A GrantSchool of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK.
Xiaojun ZhaiSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK. xzhai@essex.ac.uk.ORCID 0000-0002-1030-8311
Klaus D Mcdonald-MaierSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK.
Leonardo C SchalkwykSchool of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK. lschal@essex.ac.uk.
University of Essex · GB

Funding

Medical Research Council MR/M008924/1Medical Research Council MR/R005176/1Medical Research Council MR/W004984/1
6 · The paper itself

Abstract

DNA methylation (DNAm)-based age clocks have been studied extensively as a biomarker of human ageing and a risk factor for age-related diseases. Despite different tissues having vastly different rates of proliferation, it is still largely unknown whether they age at different rates. It was previously reported that the cerebellum ages slowly; however, this claim was drawn from a single clock using a relatively small sample size and so warrants further investigation. We collected the largest cerebellum DNAm dataset (N = 752) to date. We found the respective epigenetic ages are all severely underestimated by six representative DNAm age clocks, with the underestimation effects more pronounced in the four clocks whose training datasets do not include brain-related tissues. We identified 613 age-associated CpGs in the cerebellum, which accounts for only 14.5% of the number found in the middle temporal gyrus from the same population (N = 404). From the 613 cerebellum age-associated CpGs, we built a highly accurate age prediction model for the cerebellum named CerebellumClock

Indexed as

DNA MethylationEpigenesis, GeneticAgingEpigenomeEpigenomicsHumansAgeing rateCerebellumDNA methylationEpigenetic clocks

Identifiers

PMID37597113
PMCPMC10828477
OpenAlexW4386000798

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.