Epigenetic GrimAge Test (Analysis Only)
Obtain your GrimAge report using previous DNA methylation data (raw IDAT methylation files). GrimAge is one of the world's most trusted Epigenetic Age Tests used by top longevity researchers. We predict your biological age, based on DNA methylation, basically changes in your DNA over time.
**IMPORTANT** For the "Analysis Only" version, you will need to obtain your raw IDAT methylation files from your prior epigenetic test provider. If you're not sure if you have them or have access to them, please contact us at support@clockfoundation.org.
Includes:
About the test:
GrimAge, our Epigenetic Age Test, predicts your biological age, based on DNA methylation, basically changes in your DNA over time.
Specifically, for our epigenetic age test, we use GrimAge (an Epigenetic Clock), which has been found to strongly correlate with biological age and shown to be a predictor of morbidity and mortality. In fact, GrimAge has outperformed all other epigenetic or DNA methylation clocks.
Developed in the Horvath lab at UCLA using historical biobank data from large population studies and validated in large independent studies across a wide variety of human cell types and tissues.
Beyond biological age, our epigenetic testing also predicts your immune system status and enables monitoring of immunosenescence (immune system aging).
What’s Included:
Advanced Healthy Aging and Longevity Report with recommendations based on biological age and most advanced epigenetic risk factor assessment tools available today.
Longevity 1:1 Consult with our team to explain your report and personalized recommendations.
Monthly Research Group Meetings available to discuss new treatments and trials.
References:
Lu, A. T., Quach, A., Wilson, J. G., Reiner, A. P., Aviv, A., Raj, K. et al. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY), 11(2), 303.
McCrory, C., Fiorito, G., Hernandez, B., Polidoro, S., O’Halloran, A. M., Hever, A. et al. (2021). GrimAge outperforms other epigenetic clocks in the prediction of age-related clinical phenotypes and all-cause mortality. The Journals of Gerontology: Series A, 76(5), 741-749.