Accepted_test
Estimating biological age as a surrogate of human health is important for translating potential longevity drugs into clinical practice. Predictors of biological age, so-called aging clocks, are difficult to validate and to compare between each other, as biological age cannot be measured directly. Unfortunately, the data required to perform aging clock validation by their ability to predict patient mortality is extremely difficult to obtain and is unavailable without an authorized access. Therefore, in the absence of such public DNA methylation data, we developed the first systematic methodology to validate aging clocks by testing their ability to demonstrate accelerated aging in a standardized panel of aging-accelerating conditions derived from open access studies.