#062 Dr. Steve Horvath on epigenetic aging to predict healthspan: the DNA PhenoAge and GrimAge clocks
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About this episode
Steve Horvath Steve Horvath, PhD, is a professor of human genetics and biostatistics at UCLA's Fielding School of Public Health Dr. Steve Horvath has analyzed large data sets of DNA methylation profiles to derive an algorithm that accurately predicts a person's chronological age across multiple cells, tissues, and organs, and even mammalian species. He built on this algorithm to develop second-generation clocks that could predict time-to-death among people of the same chronological age, as well as lifespan and healthspan. In this episode, we discuss: (00:00) Introduction and overview (20:24) Horvath Aging Clocks (26:36) Heredity determines aging (35:49) DNAm PhenoAge vs GrimAge (45:58)…