Research & Publications
TranslAGE's scientific contributions to epigenetic aging research
Discover our methodology, findings, and impact on the field of aging biomarkers
Research & Publications
Scientific contributions to aging research
Latest findings on epigenetic biomarkers
Featured Publications
Our latest research on harmonizing epigenetic biomarkers across diverse datasets
TranslAGE: A Comprehensive Platform for Systematic Validation of Epigenetic Aging Biomarkers
We introduce TranslAGE, a publicly available online resource that harmonizes 179 human blood DNA methylation datasets and precalculates 41 epigenetic biomarker scores for >42,000 samples. Users explore data through interactive dashboards evaluating the S.T.A.R. framework: Stability, Treatment response, Associations, and Risk.
Authors: Daniel S. Borrus, Raghav Sehgal, Jenel F. Armstrong, John Gonzalez, Grace Zou, Jessica Kasamoto, Yaroslav Markov, Jessica Lasky-Su, Albert Higgins-Chen
Journal: BioRxiv (Preprint)
DOI: 10.1101/2025.10.16.682960
Published: October 2025
Key Contributions
- ✓ 179 harmonized DNA methylation datasets
- ✓ 41 epigenetic clocks precalculated for >42,000 samples
- ✓ S.T.A.R. framework unifying test metrics
- ✓ First standardized framework for benchmarking biomarkers
DNAm aging biomarkers are responsive: Insights from 51 longevity interventional studies in humans
We curate TranslAGE-Response, a harmonized database of 51 public and private longitudinal interventional studies and calculate a consistent set of 16 prominent epigenetic clocks for each study, along with 95 other DNAm biomarkers that help explain changes in each clock.
Authors: Raghav Sehgal, Daniel Borrus, Jessica Kasamato, Jenel F Armstrong, John Gonzalez, Yaroslav Markov, Ahana Priyanka, Ryan Smith, Natàlia Carreras, Varun B Dwaraka; DNAm aging biomarkers community; community Longevity interventional studies; Albert Higgins-Chen
Journal: BioRxiv (Preprint)
DOI: 10.1101/2024.10.22.619522
PMID: 39484592
Published: October 2024
Key Findings
- ✓ 51 longitudinal interventional studies analyzed
- ✓ 16 prominent epigenetic clocks evaluated
- ✓ 95 additional DNAm biomarkers analyzed
- ✓ Mortality and pace-of-aging clocks show strongest response
Biological versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response
We leveraged the TranslAGE platform to comprehensively evaluate the technical and biological reliability of 18 epigenetic clocks. Our findings reveal that technical reliability is not enough: biological reliability remains a critical limitation for many DNA methylation clocks that constrains their utility.
Authors: Raghav Sehgal, Daniel Borrus, John T Gonzalez, Yaroslav Markov, ADNI, Albert Tzongyang Higgins-Chen
Journal: BioRxiv (Preprint)
DOI: 10.1101/2025.10.13.682176
Published: October 2025
Key Findings
- ✓ 18 epigenetic clocks evaluated for reliability
- ✓ Technical reproducibility does not predict biological reliability
- ✓ PCGrimAge shows best biological reliability (ICC > 0.75)
- ✓ Reliability directly constrains downstream applications
When to Trust Epigenetic Clocks: Avoiding False Positives in Aging Interventions
We measured the variability between 6 popular epigenetic clocks across a range of longitudinal datasets containing either an aging intervention or an age-accelerating event, comparing them to high test-retest reliability versions.
Authors: Daniel S. Borrus, Raghav Sehgal, Jenel Fraij Armstrong, Jessica Kasamoto, John Gonzalez, Albert Higgins-Chen
Journal: BioRxiv (Preprint)
DOI: 10.1101/2024.10.22.619720
PMID: 39484440
Published: October 2024
Key Findings
- ✓ 6 popular epigenetic clocks analyzed
- ✓ Newer generation mortality/rate-of-aging clocks more reliable
- ✓ Chronological age clocks show false positive results
- ✓ Foundation for future clinical trial design
Featured Publications
Latest research on epigenetic biomarkers
TranslAGE Platform
Systematic validation of epigenetic aging biomarkers
Journal: BioRxiv (Oct 2025)
DOI: 10.1101/2025.10.16.682960
DNAm Aging Biomarkers are Responsive
Insights from 51 longevity interventional studies in humans
Journal: BioRxiv (Oct 2024)
DOI: 10.1101/2024.10.22.619522
Biological vs Technical Reliability of Epigenetic Clocks
Implications for disease prognosis and intervention response
Journal: BioRxiv (Oct 2025)
DOI: 10.1101/2025.10.13.682176
When to Trust Epigenetic Clocks
Avoiding false positives in aging interventions
Journal: BioRxiv (Oct 2024)
DOI: 10.1101/2024.10.22.619720
Explore Our Research
Access our interactive dashboards to explore epigenetic clock performance across the S.T.A.R. Framework: Stable, Treatment Response, Associations, and Risk
Explore Our Research
Access interactive dashboards for epigenetic clock data