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Dr. Steve Horvath on epigenetic aging to predict healthspan: the DNA PhenoAge and GrimAge clocks
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Steve Horvath, PhD, ScD is a professor of human genetics and biostatistics at UCLA's Fielding School of Public Health. Dr. Horvath is the creator of the Horvath Epigenetic Aging Clock. His work incorporates elements of biostatistics, genetics, epidemiology, epigenomics, and other fields of study. He applies his understanding of this diverse range of disciplines to study a spectrum of chronic diseases, including cancer, cardiovascular disease, neurodegenerative disease, and other diseases of aging.
Dr. Horvath's so-called "pan-tissue epigenetic aging clock" is an algorithm that accurately predicts a person's chronological age from marks on the DNA across multiple cells, tissues, and organs, and even mammalian species. Further refining this initial algorithm, Dr. Horvath built on this to develop second-generation clock algorithm that could predict time-to-death among people of the same chronological age, as well as lifespan and healthspan. One of these clocks, the GrimAge clock, is named deliberately after its connotation: predicting time until death ("Grim").
In this episode, Dr. Steven Horvath describes epigenetic clocks and their role in predicting – and possibly slowing – aging
EPISODE LINKS:
PODCAST INFO:
Dr. Rhonda Patrick's 3-minute video crash course in epigenetics:
The FoundMyFitness OVERVIEW ARTICLE on epigenetic clocks:
CHAPTERS
00:00:00 - Introductions
00:00:34 - Horvath Aging Clock
00:01:50 - Explaining the error rate
00:06:42 - Hereditary + lifestyle factors
00:15:03 - DNAm PhenoAge vs GrimAge
00:22:50 - Telomere science shortcomings
00:26:08 - Prolonging the epigenetic clock
00:50:56 - Epigenetics: Cause or consequence of aging?
00:56:53 - Vitamin D reverses epigenetic age
00:59:20 - Omega-3 slows down the GrimAge clock
01:04:27 - Ongoing research
SCIENCE OF HEALTHSPAN EMAIL NEWSLETTER:
SUPPORT THE CHANNEL:
Thank you for watching!
SOCIALS:
PODCAST:
⏳ #aging #longevity #epigenetics 🧬
Dr. Horvath's so-called "pan-tissue epigenetic aging clock" is an algorithm that accurately predicts a person's chronological age from marks on the DNA across multiple cells, tissues, and organs, and even mammalian species. Further refining this initial algorithm, Dr. Horvath built on this to develop second-generation clock algorithm that could predict time-to-death among people of the same chronological age, as well as lifespan and healthspan. One of these clocks, the GrimAge clock, is named deliberately after its connotation: predicting time until death ("Grim").
In this episode, Dr. Steven Horvath describes epigenetic clocks and their role in predicting – and possibly slowing – aging
EPISODE LINKS:
PODCAST INFO:
Dr. Rhonda Patrick's 3-minute video crash course in epigenetics:
The FoundMyFitness OVERVIEW ARTICLE on epigenetic clocks:
CHAPTERS
00:00:00 - Introductions
00:00:34 - Horvath Aging Clock
00:01:50 - Explaining the error rate
00:06:42 - Hereditary + lifestyle factors
00:15:03 - DNAm PhenoAge vs GrimAge
00:22:50 - Telomere science shortcomings
00:26:08 - Prolonging the epigenetic clock
00:50:56 - Epigenetics: Cause or consequence of aging?
00:56:53 - Vitamin D reverses epigenetic age
00:59:20 - Omega-3 slows down the GrimAge clock
01:04:27 - Ongoing research
SCIENCE OF HEALTHSPAN EMAIL NEWSLETTER:
SUPPORT THE CHANNEL:
Thank you for watching!
SOCIALS:
PODCAST:
⏳ #aging #longevity #epigenetics 🧬
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