Mike Snyder

Mike Snyder

Talk Title:Using Omics and Big Data to Mange Health and Disease

Michael Snyder is the Stanford W. Ascherman Professor and Chair, Department of Genetics and the Director of the Center for Genomics and Personalized Medicine at Stanford University. He received his B.A. from the University of Rochester and performed his Ph.D. training at the California Institute of Technology. Dr. Snyder is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE, eGTEx and human microbiome consortia. His laboratory has developed many technologies in genomics and proteomics, including RNA-Seq, ChIP-ChIp (now replaced by ChIP-Seq), NexGen paired-end sequencing, and proteome chips. These technologies have been used for characterizing genomes, transcriptomes, proteomes, human variation and regulatory networks. His laboratory also combined different state-of-the-art “omics” technologies to perform the first longitudinal detailed integrative personal omics profile (iPOP) of person.

Michael Snyder, Brian Piening, Wenyu Zhou, Kevin Contrepois, Hannes Roest, Dalia Perelman, Gucci Gu, Xiao Li, Jessilyn Dunn, Denis Salins, Shannon Rego, Sophia Miryam Schussler-Fiorenza Rose, Shana Leopold, Jessica Sibal, Tejas Mishra, Liang Liang, Varsha Rao, Nastaran Heidari, Reza Sailani, Lihua Jiang, Colleen Craig, Candice Allistar, Erica Weinstock, Justin Sonnenburg, George Weinstock, Tracy MacLaughlin, Department of Genetics, Stanford University

Managing Health and Disease Using Big Data
Understanding health and disease requires a detailed analysis of both our DNA and the molecular events that determine human physiology. We performed an integrated Personal Omics Profiling (iPOP) of 100 healthy and prediabetic participants over three years including periods of viral infection as well as during controlled weight gain and loss. Our iPOP integrates multiomics information from the host (genomics, epigenomics, transcriptomics, proteomics and metabolomics) and from the gut microbiome as well as wearable information. Longitudinal multiomics profiling reveals extensive dynamic biomolecular changes occur during times of perturbation, and the different perturbations have distinct effects on different biological pathways. Wearable data also adds unique early detection information. Overall, our results demonstrate a global and system-wide level of biochemical and cellular changes occur during environment exposures and omics profiling can be used to manage health.