TranslAGE: A Comprehensive Platform for Systematic Validation of Epigenetic Aging Biomarkers.

Area of Science:

• Biomarkers of aging
• Epigenetics
• Computational biology

Background:

• Epigenetic clocks are key biomarkers for biological aging, but their performance varies.
• Existing research is limited by data silos, inconsistent validation, and lack of standardization.

Purpose of the Study:

• Introduce TranslAGE, a novel online resource for harmonizing and benchmarking epigenetic aging biomarkers.
• Provide a standardized, reproducible framework for evaluating biomarker performance.

Main Methods:

• Harmonized 179 human blood DNA methylation datasets (>42,000 samples).
• Precalculated 41 epigenetic biomarker scores.
• Developed interactive dashboards based on the STAR framework (Stability, Treatment response, Associations, Risk).

Main Results:

• TranslAGE enables systematic evaluation of epigenetic biomarkers across four key performance domains.
• The STAR framework provides a composite score for biomarker identification and validation.
• The resource facilitates benchmarking of biomarkers for diverse scientific and clinical applications.

Conclusions:

• TranslAGE establishes the first standardized framework for epigenetic aging biomarker evaluation.
• This resource accelerates the translation of epigenetic clocks toward clinical use.
• TranslAGE will be continuously updated with new data and analyses.