0:00 Intro to The Genetics Podcast01:00 Welcome to Austin01:42 What is aging and how should we think about it? 03:50 Discussion of Austin’s recent breakthrough paper on aging, including the questions he set out to answer, and the outcomes of the research06:32 How Austin’s work focuses on using large-scale population proteomics data to create accurate estimates of biological age across diverse populations08:10 Understanding aging in people whose protein-predicted age and chronological age diverge significantly09:40 How a single biological estimate of proteomic age is highly predictive of all major non-cancer causes of death (within a dataset)11:46 Validating the significance of proteomic signature in populations that are genetically and geographically distinct from the cohort on which the statistical models were trained (UK Biobank)14:48 How not all model types are equal for estimating biological age and making generalizations from biological data across diverse populations17:38 How far fewer than 3,000 proteins are necessary to make a prediction of biological age and how a select few are particularly significant20:04 What is it about the 20 proteins identified by Austin’s team that make them highly predictive of biological age?23:18 Why infamous studies searching for “fountain of youth” genes have never found any definitive answers27:24 Why conditions associated with increased age often have high heritability, even though heritability of aging is very low29:34 Decoding proteomic signatures for age to identify risk of developing age-related conditions32:29 Translating this research into therapeutic development36:51 Could protein levels associated with “decelerated” aging be replicated in someone experiencing “accelerated” aging?39:32 How Austin became involved with the biology of aging and proteomics42:42 What Austin and his team will be working on next44:38 Closing remarksPlease consider rating and reviewing) us on your chosen podcast listening platform!Find out more:www.austinargentieri.com)Find Austin on Twitter) (X)
