Model-dependent age estimate

Epigenetic clocks

Algorithms that interpret patterns of DNA methylation.

AI-assisted editorial draft · Source check: 6 September 2026 · Independent reviewer: not yet assigned

Method evidence: Unrated. Assessment pending. This is a provisional editorial assessment of the stated method, not an endorsement of a test provider.

What it measures

Patterns of methylation at selected DNA sites. Some clocks predict chronological age; others target outcome-linked traits or the pace of aging.

Source 1: Genome Biology / Horvath

Required inputs

DNA from a suitable tissue, a compatible methylation assay and the exact clock algorithm.

How it was developed

Horvath’s 2013 multi-tissue clock was trained against chronological age. Later clocks use different training targets; evidence cannot be assigned to the entire category at once.

Source 1: Genome Biology / Horvath

Outcome associations

A good fit to calendar age is a different result from predicting future health outcomes. Examine the specific model and validation cohort.

Source 1: Genome Biology / Horvath

Limitations

Tissue, laboratory processing and algorithm version may affect results. Product-level validation remains separate from a paper about a related clock.

Can you calculate it yourself?

Usually requires laboratory methylation data and suitable analysis tools. A saliva sample alone is not a computable dataset.

Commercial use

TruAge and Elysium Index list DNA-methylation measurements. Their individual outputs use different algorithms.

Source 1: Genome Biology / HorvathSource 2: TruDiagnosticSource 3: Elysium Health
Check the original

Sources & verification

  1. DNA methylation age of human tissues and cell types (2013)

    Genome Biology / Horvath · Accessed 2026-09-06

  2. TruAge test: product, price and collection

    TruDiagnostic · Accessed 2026-09-06

  3. Index: product and pricing

    Elysium Health · Accessed 2026-09-06