Evidence map›Paper›PMID 39411517›Full record

ArticleFrontiers in aging2024

CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality in human blood.

Maxim N Shokhirev, Daniel J Kramer, Janie Corley, Simon R Cox, Trinna L Cuellar, Adiv A Johnson

Abstract read
In one paragraph

Article in Frontiers in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Maxim N ShokhirevTally Health, New York, NY, United States.
Daniel J KramerTally Health, New York, NY, United States.
Janie CorleyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Trinna L CuellarTally Health, New York, NY, United States.
Adiv A JohnsonTally Health, New York, NY, United States.

Funding

Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1Wellcome Trust
6 · The paper itself

Abstract

While earlier first-generation epigenetic aging clocks were trained to estimate chronological age as accurately as possible, more recent next-generation clocks incorporate DNA methylation information more pertinent to health, lifestyle, and/or outcomes. Recently, we produced a non-invasive next-generation epigenetic clock trained using Infinium MethylationEPIC data from more than 8,000 diverse adult buccal samples. While this clock correlated with various health, lifestyle, and disease factors, we did not assess its ability to capture mortality. To address this gap, we applied CheekAge to the longitudinal Lothian Birth Cohorts of 1921 and 1936. Despite missing nearly half of its CpG inputs, CheekAge was significantly associated with mortality in this longitudinal blood dataset. Specifically, a change in one standard deviation corresponded to a hazard ratio (HR) of 1.21 (FDR

Indexed as

agingbiomarkerDNA methylationepigenetic aging clocklongitudinalmortality

Identifiers

PMID39411517
PMCPMC11473594

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.