Stanford Webinar: Using Genomics, Wearables and Big Data to Manage Health and Disease

Through genome sequencing, in combination with other omic information such as microbiome, methylome, metabolome, etc., data can be used to genetically predict disease risk. This information, combined with data collected through technology such as wearables, can help people manage disease and maintain healthy lives. Join Dr. Michael Snyder and Dr. Barry Starr as they explore the advances in genomic sequencing and how it can be used to predict, diagnose, and treat disease.

You will learn:

How genomics can be used to predict disease
The poser of longitudinal profiling
What data is collected from wearables and how they’re valuable to monitoring health
How genome sequencing and big data can impact your health


About the Speaker
Michael Snyder is the Stanford Ascherman Professor and Chair of Genetics and the Director of the Center of Genomics and Personalized Medicine. Dr. Snyder received his Ph.D. training at the California Institute of Technology and carried out postdoctoral training at Stanford University. He is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism, and has launched many technologies in genomics and proteomics that have been used for characterizing genomes, proteomes and regulatory networks.

0:00 Introduction
0:11 Using Genomics, Wearables and Big Data to Manage Health and Disease
0:59 Presenter
5:28 Personal "Omics" Profiling (POP)
7:08 General Goals 1 Understand how individuals change over time and during periods of health and disease at high resolution
15:07 Epigenetics: DNA Methylation
16:50 Gene Inactivation by Mutation and Methylation: PDE4 involved in eosinophilia
21:22 A subset of individuals undergo a dietary perturbation.
33:26 Early Detection of Lyme Disease
35:54 Stanford Center for Professional Development