Epigenetic Age & Trajectory
Twelve epigenetic clocks — Horvath, Hannum, GrimAge, PhenoAge, DunedinPACE and others — reconciled into a single trajectory you can act on, quarter by quarter.
What we measure
DNA methylation at hundreds of thousands of CpG sites, processed against multiple validated clocks. The result is not a single number — it is a trajectory that responds to protocol changes.
How we use it
Epigenetic data feeds the matching engine, informs your physician's protocol selection, and provides one of the most clinically promising longitudinal biomarkers currently available to assess response to longevity interventions.
References
DNA methylation age of human tissues and cell types
Horvath S. Genome Biology. 2013;14(10):R115.
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum G, Guinney J, Zhao L, et al. Molecular Cell. 2013;49(2):359-367.
An epigenetic biomarker of aging for lifespan and healthspan
Levine ME, Lu AT, Quach A, et al. Aging (Albany NY). 2018;10(4):573-591.
DNA methylation GrimAge strongly predicts lifespan and healthspan
Lu AT, Quach A, Wilson JG, et al. Aging (Albany NY). 2019;11(2):303-327.
DunedinPACE, a DNA methylation biomarker of the pace of aging
Belsky DW, Caspi A, Corcoran DL, et al. eLife. 2022;11:e73420.
Functions of DNA methylation: islands, start sites, gene bodies and beyond
Jones PA. Nature Reviews Genetics. 2012;13(7):484-492.
Biological age predictors
Jylhävä J, Pedersen NL, Hägg S. EBioMedicine. 2017;21:29-36.
Measuring biological aging in humans: A quest
Ferrucci L, Gonzalez-Freire M, Fabbri E, et al. Aging Cell. 2020;19(2):e13080.
Reversal of epigenetic aging and immunosenescent trends in humans
Fahy GM, Brooke RT, Watson JP, et al. Aging Cell. 2019;18(6):e13028.
DNA methylation aging clocks: challenges and recommendations
Bell CG, Lowe R, Adams PD, et al. Genome Biology. 2019;20(1):249.