LinAge2: providing actionable insights and benchmarking with epigenetic clocks
Biological aging is marked by a decline in resilience at the cellular and systemic levels, driving an exponential increase in mortality risk. Here, we evaluate several clinical and epigenetic clocks for their ability to predict mortality, demonstrating that clocks trained on survival and functional aging outperform those trained on chronological age. We present an enhanced clinical clock that predicts mortality more accurately and provides actionable insights for guiding personalized interventions. These findings highlight the potential of mortality-predicting clocks to inform clinical decision-making and promote strategies for healthy longevity.
Authors
- Sheng Fong (ORCID: https://orcid.org/0000-0002-5834-512X)
- Brian Keith Kennedy (ORCID: https://orcid.org/0000-0002-5754-1874)
- Kirill A. Denisov (ORCID: https://orcid.org/0009-0003-2477-9653)
- Jan Gruber (ORCID: https://orcid.org/0000-0003-3329-3789)
- Anastasiia A Nefedova
Institutions
- National University of Singapore (SG)
- Ng Teng Fong General Hospital (SG)
- National University Health System (SG)
- Geriatric Education and Research Institute (SG)
Publication Details
- Journal
- npj Aging
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1038/s41514-025-00221-4
- Citations
- 5
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- Lien Foundation
- Medical Research Council
- National Medical Research Council