Epigenetic Tests

Understand Your Body Beyond Your Birthday

Your chronological age is only one number.

Epigenetic testing provides a deeper understanding of how your body is ageing by analysing biological processes reflected in your DNA.

The results help assess biological age, pace of ageing, organ health, and other key longevity markers—offering meaningful insights that can guide more informed health decisions.

In partnership with a laboratory whose methodologies are developed alongside researchers from Harvard, Yale, Cornell, Duke, and other leading universities, we provide advanced epigenetic testing.

The testing is supported by more than 30 clinical studies and provides insights into biological age, pace of ageing, organ health, and other important longevity markers.

Epigenetic Tests

TruHealth Epigenetic Test

An in-depth analysis of more than 110 health biomarkers, providing a deeper understanding of your biological health.
777EUR
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Complete Epigenetic Analysis

Combines biological age and health insights — measuring 180+ biomarkers across aging, nutrition, and key biological systems.
1 444EUR
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How Epigenetics Helps You Better Understand Your Body

Epigenetics explores how lifestyle and environmental factors influence gene activity without changing your DNA.

This means that everyday choices – such as sleep, nutrition, physical activity, and stress – can affect how your body functions.

Epigenetic testing measures these changes at the cellular level, helping you make more informed decisions about your long-term health.

01

Your Biological Age Today

Epigenetic testing reflects your body’s current biological state – not just your genetic potential – and shows how lifestyle may be influencing your health today.

02

850,000+ DNA Methylation Sites

The analysis evaluates more than 850,000 DNA methylation sites, providing a detailed picture of your body’s biological condition.

03

Lifestyle Leaves a Biological Signature

Sleep, nutrition, physical activity, stress, and environmental factors all leave measurable biological signatures. Epigenetic testing helps reveal how these factors may be influencing your body.

04

Personalised Insights

Every person is unique. Your results provide personalised insights into your strengths, potential risk factors, and areas that may deserve greater attention.

05

Evidence-Based Decisions

Our testing methodology is built on the latest advances in epigenetic science and supported by more than 30 clinical studies, helping you make more informed decisions about your long-term health and longevity.

Selected Scientific Publications

Quantifying the stochastic component of epigenetic aging

Simulating DNAm drift in >22k blood samples shows stochastic change explains 66–75 % of Horvath clock accuracy, 90 % for Zhang, but 63 % for PhenoAge, implying true aging reflects non-stochastic biology. Male, severe COVID-19 and smoker accelerations stem from these non-random effects.

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Huige Tong, Varun B. Dwaraka, Qingwen Chen, Qi Luo, Jessica A. Lasky-Su, Ryan Smith & Andrew E. Teschendorff

Unveiling the Epigenetic Impact of Vegan vs. Omnivorous Diets on Aging: Insights from the Twins Nutrition Study (TwiNS)

In an 8-week twin study, only the vegan diet cut epigenetic age: lower PC GrimAge, PC PhenoAge, DunedinPACE and reduced aging in inflammation, heart, hormone, liver and metabolic systems. Omnivores didn’t shift, underscoring plant-based diets’ anti-aging edge.

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Varun B. Dwaraka, Lucia Aronica, Natalia Carreras-Gallo, Jennifer L Robinson, Tayler Hennings, Aaron Lin, Logan Turner, Ryan Smith, Tavis L. Mendez, Hannah Went, Emily R. Ebel, Matthew M. Carter, Erica D. Sonnenburg, Justin L. Sonnenburg, Christopher D. Gardner

Quantifying the stochastic component of epigenetic aging

Simulating DNAm drift in >22k blood samples shows stochastic change explains 66–75 % of Horvath clock accuracy, 90 % for Zhang, but 63 % for PhenoAge, implying true aging reflects non-stochastic biology. Male, severe COVID-19 and smoker accelerations stem from these non-random effects.

Read More
Huige Tong, Varun B. Dwaraka, Qingwen Chen, Qi Luo, Jessica A. Lasky-Su, Ryan Smith & Andrew E. Teschendorff

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