Michael Snyder

Michael P. Snyder, PhD, Stanford Ascherman Professor and Chair, Department of Genetics; Director, Stanford Center of Genomics and Personalized Medicine, Stanford University School of Medicine 

Research Description: Dr. Snyder is a leader in the field of functional genomics and proteomics, and a leader in the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism, and has developed many technologies in genomics and proteomics. These technologies have been used for characterizing genomes, proteomes and regulatory networks. He has also combined different state-of–the-art “omics” technologies to perform the first longitudinal detailed integrative personal omics profile (iPOP) of person and used this to assess disease risk and monitor disease states for personalized medicine. He has published studies of diabetes development with these approaches, and collaborates extensively with SDRC investigators, including Drs. Chang, Greenleaf, Haddad and McLaughlin in diabetes-related research. Based on this experience, Dr. Snyder also serves as an advisor to the Genomics & Analysis Core in SDRC, and is a member of the SDRC Executive Committee. 

Selected relevant publications (Stanford DRC members in BOLD):

  1. Sailani MR, Metwally AA, Zhou W, Rose SMS, Ahadi S, Contrepois K, Mishra T, Zhang MJ, Kidziński Ł, Chu TJ, Snyder MP. Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California. Nat Commun. 2020 Oct 1;11(1):4933. doi: 10.1038/s41467-020-18758-1. PMID: 33004787; PMCID: PMC7529769. [cites P30] 

  2. Zhou W, Sailani MR, Contrepois K, Zhou Y, Ahadi S, Leopold SR, Zhang MJ, Rao V, Avina M, Mishra T, Johnson J, Lee-McMullen B, Chen S, Metwally AA, Tran TDB, Nguyen H, Zhou X, Albright B, Hong BY, Petersen L, Bautista E, Hanson B, Chen L, Spakowicz D, Bahmani A, Salins D, Leopold B, Ashland M, Dagan-Rosenfeld O, Rego S, Limcaoco P, Colbert E, Allister C, Perelman D, Craig C, Wei E, Chaib H, Hornburg D, Dunn J, Liang L, Rose SMS, Kukurba K, Piening B, Rost H, Tse D, McLaughlin T, Sodergren E, Weinstock GM, Snyder M. Longitudinal multi-omics of host-microbe dynamics in prediabetes. Nature. 2019 May;569(7758):663-671. PMID: 31142858 [cites P30] 

  3. Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, Zhou W, Mishra T, Mataraso S, Dagan-Rosenfeld O, Ganz AB, Dunn J, Hornburg D, Rego S, Perelman D, Ahadi S, Sailani MR, Zhou Y, Leopold SR, Chen J, Ashland M, Christle JW, Avina M, Limcaoco P, Ruiz C, Tan M, Butte AJ, Weinstock GM, Slavich GM, Sodergren E, McLaughlin TL, Haddad F, Snyder MP. A longitudinal big data approach for precision health. Nat Med. 2019 May;25(5):792-804. doi: 10.1038/s41591-019-0414-6. Epub 2019 May 8. PMID: 31068711; PMCID: PMC6713274. [cites P30] 

  4. Piening BD, Zhou W, Contrepois K, Röst H, Gu Urban GJ, Mishra T, Hanson BM, Bautista EJ, Leopold S, Yeh CY, Spakowicz D, Banerjee I, Chen C, Kukurba K, Perelman D, Craig C, Colbert E, Salins D, Rego S, Lee S, Zhang C, Wheeler J, Sailani MR,Liang L, Abbott C, Gerstein M, Mardinoglu A, Smith U, Rubin DL, Pitteri S, Sodergren E, McLaughlin TL, Weinstock GM, Snyder MP. Integrative Personal Omics Profiles during Periods of Weight Gain and Loss. Cell Syst. 6(2): 157-170, 2018. [cites P30]