ArticleGeroScience2024
CheekAge: a next-generation buccal epigenetic aging clock associated with lifestyle and health.
Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed, 23 citations in OpenAlex.
- From Athletic Performance to Functional Ageing: Shared Genetic Architecture, Redox-Inflammatory Pathways and Functional Reserve Across the Life Course-A Narrative Review.Biomedicines · 2026Review
- Social determinants of health and epigenetic clocks: a systematic review and meta-analysis of 140 studies.Nature human behaviour · 2026Article
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Probing buccal-customized epigenetic clocks to investigate socioeconomic and health disparities.GeroScience · 2026Article
- From the lab to lifestyle: epigenetic clocks in personalized aging and health.Biogerontology · 2026Review
- Turning back time: a comprehensive list of interventions that decrease next-generation epigenetic aging clocks in humans.Frontiers in genetics · 2026Review
- Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologies.GeroScience · 2025Article
- Epigenetic clocks and DNA methylation biomarkers of brain health and disease.Nature reviews. Neurology · 2025Review
- First-generation versus next-generation epigenetic aging clocks: Differences in performance and utility.Biogerontology · 2025Review
- Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge.GeroScience · 2025Article
- Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025Review
- DNA methylation and prediction of biological age.Frontiers in molecular biosciences · 2025Review
- Biomarker integration and biosensor technologies enabling AI-driven insights into biological aging.Frontiers in aging · 2025Review
- Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors.Frontiers in genetics · 2025Article
- Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future.Aging and disease · 2024Review
- Contextualizing aging clocks and properly describing biological age.Aging cell · 2024Article
- CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality in human blood.Frontiers in aging · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic aging clocks are computational models that predict age using DNA methylation information. Initially, first-generation clocks were developed to make predictions using CpGs that change with age. Over time, next-generation clocks were created using CpGs that relate to both age and health. Since existing next-generation clocks were constructed in blood, we sought to develop a next-generation clock optimized for prediction in cheek swabs, which are non-invasive and easy to collect. To do this, we collected MethylationEPIC data as well as lifestyle and health information from 8045 diverse adults. Using a novel simulated annealing approach that allowed us to incorporate lifestyle and health factors into training as well as a combination of CpG filtering, CpG clustering, and clock ensembling, we constructed CheekAge, an epigenetic aging clock that has a strong correlation with age, displays high test-retest reproducibility across replicates, and significantly associates with a plethora of lifestyle and health factors, such as BMI, smoking status, and alcohol intake. We validated CheekAge in an internal dataset and multiple publicly available datasets, including samples from patients with progeria or meningioma. In addition to exploring the underlying biology of the data and clock, we provide a free online tool that allows users to mine our methylomic data and predict epigenetic age.
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Registered trials
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.