Evidence map›Paper›PMID 42415175›Full record

ArticleClinical epigenetics2026

Exploring a targeted epigenetic clock based on mortality-associated CpGs as a potential biomarker for frailty.

Jonathan Awuah, Dhayana Dallmeier, Felix Boehm, Laura Herdtle, Dietrich Rothenbacher, Juan-Felipe Perez-Correa, Wolfgang Wagner

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Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jonathan AwuahInstitute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany.
Dhayana DallmeierInstitute for Geriatric Research, Ulm University Medical Center, Ulm, Germany.
Felix BoehmInstitute for Geriatric Research, Ulm University Medical Center, Ulm, Germany.
Laura HerdtleInstitute for Geriatric Research, Ulm University Medical Center, Ulm, Germany.
Dietrich RothenbacherInstitute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Juan-Felipe Perez-Correa *Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany. jperezecorre@ukaachen.de.
Wolfgang Wagner *Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany. wwagner@ukaachen.de.ORCID https://orcid.org/0000-0002-1971-3217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAge-related DNA methylation changes are promising biomarkers to track the individual aging process. Particularly second-generation epigenetic clocks capture aspects of biological age more accurately, but the requirement of genome wide profiles hampers implementation into practice. We therefore aimed to develop a simplified, targeted approach based on individual age- and mortality-associated CpG sites measurable by digital PCR.

resultsWe selected three CpG sites strongly associated with all-cause mortality in the Lothian Birth Cohorts and with chronological age in multiple publicly available repositories to establish the targeted age- and mortality-associated epigenetic clock (TaM clock). For comparison, we applied a previously published three-CpG signature selected solely for correlation with chronological age (TaC clock). These signatures were initially benchmarked using DNA methylation profiles from 20 frail and 20 non-frail participants of the ActiFE cohort. In fact, in this subset the TaM clock revealed significant association between the delta age and the frailty status based on a 32-item frailty index. Furthermore, the TaM clock outperformed the TaC clock at capturing a significant increase in epigenetic age in Down syndrome, Werner syndrome and HIV. We subsequently developed digital PCR assays to analyse 446 samples from the ActiFE cohort. One TaM clock site (cg20595453) showed significant association with both mortality and frailty. However, predictions generated by either targeted clock were not significantly associated with mortality and there was no clear relationship with frailty or age-related clinical parameters in this larger cohort.

conclusionOur targeted signatures were not sensitive enough to reliably predict frailty or mortality in a relatively healthy study population, which seems to be a general challenge for epigenetic clocks. It may be necessary to include additional disease-associated target sites to support frailty analysis in personalized medicine.

Indexed as

AgingCpG IslandsDNA MethylationFrailtyAgedBiomarkersCohort StudiesEpigenesis, GeneticEpigenomicsFemaleHumansMaleMiddle AgedPolymerase Chain ReactionBiomarkersBiological ageBiomarkersDigital PCRDNA methylationEpigenetic clocksFrailtySecond generation clocks

Identifiers

PMID42415175
PMCPMC13339440

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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.