The Science
How We Measure the Pace of Aging
PaceSovereign synthesizes three decades of biological aging research into a single, actionable KPI. From the Horvath Clock to DunedinPACE, from blood biomarkers to wearable data — here is the science behind your PACE Score.
Medical Disclaimer
The information provided on this page is for educational purposes only and does not constitute medical advice. Data suggests correlations, not diagnoses. Always consult a qualified healthcare professional before making health decisions based on biomarker data.
DunedinPACE: The Gold Standard
DunedinPACE (Pace of Aging Calculated from the Epigenome) is a third-generation epigenetic clock developed by researchers at Duke University, published by Belsky et al. in eLife (2022). Unlike earlier clocks that estimate a static biological age, DunedinPACE measures the rate of biological aging — how fast you are aging right now.
A DunedinPACE score of 1.0 means aging at the normal population rate. Below 1.0 means slower aging. Above 1.0 means faster. The typical range in population studies is 0.6 to 1.4, with the algorithm trained on 173 CpG sites correlated with 19 biomarkers tracked over 20 years.— Belsky et al., eLife, 2022
Evolution of Epigenetic Clocks
| Clock | Gen | Measures | Year |
|---|---|---|---|
| Horvath Clock | 1st | Static biological age | 2013 |
| Hannum Clock | 1st | Static biological age (blood) | 2013 |
| PhenoAge | 2nd | Health-adjusted biological age | 2018 |
| GrimAge | 2nd | Mortality-adjusted age | 2019 |
| DunedinPACE | 3rd | Rate of aging (dynamic) | 2022 |
The 19 Biomarkers Behind DunedinPACE
DunedinPACE was trained on longitudinal change in 19 biomarkers measured at ages 26, 32, 38, and 45 in the Dunedin Study cohort, spanning cardiovascular, metabolic, renal, pulmonary, immune, and oral health systems.
| # | Biomarker | Category | Unit |
|---|---|---|---|
| 1 | BMI | Metabolic | kg/m² |
| 2 | Waist-Hip Ratio | Metabolic | ratio |
| 3 | HbA1c | Metabolic | % |
| 4 | Blood Urea Nitrogen | Renal | mg/dL |
| 5 | Creatinine | Renal | mg/dL |
| 6 | Uric Acid | Metabolic | mg/dL |
| 7 | Total Cholesterol | Cardiovascular | mg/dL |
| 8 | Triglycerides | Cardiovascular | mg/dL |
| 9 | HDL Cholesterol | Cardiovascular | mg/dL |
| 10 | LDL / Non-HDL Cholesterol | Cardiovascular | mg/dL |
| 11 | Apolipoprotein B | Cardiovascular | mg/dL |
| 12 | Lipoprotein(a) | Cardiovascular | nmol/L |
| 13 | hs-CRP | Inflammatory | mg/L |
| 14 | White Blood Cell Count | Hematologic | 10³/µL |
| 15 | Mean Arterial Pressure | Cardiovascular | mmHg |
| 16 | Forced Vital Capacity | Pulmonary | L |
| 17 | FEV1/FVC Ratio | Pulmonary | ratio |
| 18 | VO2max | Fitness | mL/kg/min |
| 19 | Gingival Recession | Oral | mm |
Our Proxy PACE Method
Most users will not have DunedinPACE epigenetic data when they first join. PaceSovereign computes a Proxy PACE Score using the Klemera-Doubal Method (KDM), enhanced with wearable data from 200+ devices.
The Klemera-Doubal Method computes biological age from standard blood biomarkers using regression-based weights trained on the relationship between biomarker values and chronological age across large population cohorts. PaceSovereign enhances KDM with wearable-derived metrics including resting heart rate, HRV, VO2max, and sleep architecture.— Klemera & Doubal, Mech Ageing Dev, 2006
When users obtain real DunedinPACE testing (via TruDiagnostic, Elysium, or compatible providers), that becomes their gold-standard score. The proxy remains as a continuous between-test tracker.
Frequently Asked Questions
What is biological age vs. chronological age?+
What is the Pace of Aging?+
What is DunedinPACE?+
How does PaceSovereign calculate my PACE Score?+
What are the 19 biomarkers behind DunedinPACE?+
How often should I measure my Pace of Aging?+
Can you actually slow down biological aging?+
What makes PaceSovereign different from other longevity platforms?+
Ready to Know Your Pace?
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Apply for AccessReferences
- [1] Belsky DW, Caspi A, Corcoran DL, et al.. “DunedinPACE, a DNA methylation biomarker of the pace of aging.” eLife. 2022. doi:10.7554/eLife.73420
- [2] Klemera P, Doubal S. “A new approach to the concept and computation of biological age.” Mech Ageing Dev. 2006. doi:10.1016/j.mad.2005.10.004
- [3] Horvath S. “DNA methylation age of human tissues and cell types.” Genome Biol. 2013. doi:10.1186/gb-2013-14-10-r115
- [4] Levine ME. “Modeling the rate of senescence.” J Gerontol A Biol Sci Med Sci. 2013. doi:10.1093/gerona/gls233
- [5] Lu AT, Quach A, Wilson JG, et al.. “DNA methylation GrimAge strongly predicts lifespan and healthspan.” Aging. 2019. doi:10.18632/aging.101684