Biological-Age Prediction and Informing a Mechanistic Theory of Aging

Featured Speaker: Adam Li and Zane Koch

An individual’s degree of aging can be computed based on patterns of DNA methylation and is associated with an array of factors including diet, lifestyle, genetics, and disease. Prediction of age was an important first step, but it is believed that the focus must shift from chasing increasingly accurate age computations to understanding the links between the epigenome and the mechanisms and physiological changes of aging. This lecture will outline emerging areas of epigenetic aging research that prioritize biological understanding and clinical application.

Presenter Biography

Adam Li and Zane Koch are secondyear PhD candidates in UCSD’s Trey Ideker Lab. The lab is a pioneering, innovative group of enthusiastic scientists with expertise across a variety of disciplines, including systems biology, cellular modeling, cancer genomics, computational biology, epigenetics, and psychiatric diseases. Both Li and Koch’s interests lie in mechanisms of epigenetic aging and its reprogramming.

Coordinator: Marlene Rayner