ProAge Atlas · Measurement methods

A signal needs
a definition.

An age estimate, an aging pace and a functional assessment are different measurements. The input, training target and context determine what a result means.

Know the measurement

MeasurementRequired dataOutputResearch target
Clinical PhenoAge ↗Age + nine clinical blood biomarkersAge estimate in yearsA mortality-risk-trained clinical phenotype
DNAm PhenoAge ↗DNA methylation at 513 CpG sitesEpigenetic age estimate in yearsA methylation predictor of clinical phenotypic age
Horvath clock ↗DNA methylation at 353 CpG sitesEpigenetic age estimate in yearsChronological age prediction across tissues
DunedinPACE ↗Processed blood DNA methylationRelative pace of biological changeA target trained on longitudinal organ-system change
Physical performance / SPPB ↗Balance, walking and chair-rise testsProtocol-specific functional scoreObserved lower-extremity performance

Only the clinical PhenoAge model is calculated on this platform. The other methods are described for comparison; methylation data cannot be reconstructed from a routine blood panel.

Open PhenoAge Explorer ↗

Method & interpretation

Three questions before a calculation.

What was collected?

Record the assay, units, date and protocol. For a blood model, distinguish CRP units and RDW-CV from RDW-SD. A missing value or a below-detection result is a data-quality question, not an invitation to invent a value.

What is the target?

Models trained on chronological age, mortality-related risk or physiological change are not interchangeable. A numerical age difference is not automatically an aging-rate estimate or an acceleration residual adjusted for a population.

What would count as benefit?

Biomarker movement is a research finding. It does not on its own establish longer life or better function. Study design, comparator, eligibility and follow-up determine which claims a finding can support.

Open Institute of Age and Aging

Published methods. Traceable sources. Questions worth pursuing.

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