Molecular Reflections of Health and Disease from Longitudinal Deep Phenotyping Across Thousands of People

02/02/2021 @ 10:30 AM – 11:30 AM
Mishka Colombo

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“Molecular Reflections of Health and Disease from Longitudinal Deep Phenotyping Across
Thousands of People

Dr. Nathan Price is a professor at the Institute for Systems Biology where he co-directs with Lee Hood the Hood-Price Integrated Lab for Systems Biomedicine.  He is also affiliate faculty at the University of Washington in the Departments of Bioengineering, Computer Science & Engineering, and Molecular & Cellular Biology. In 2019, he was selected by the National Academy of Medicine as one of their 10 Emerging Leaders in Health and Medicine.

Dr. Price co-founded Arivale, a scientific wellness company that was named as Geekwire’s 2016 startup of the year. Dr. Price is a member of the Board of Trustees of the Health and Environmental Sciences Institute (HESI) and on the Board of Advisors for the American Cancer Society (WA).  He is also the chair of the NIH study section on Modeling and Analysis of Biological Systems (MABS).

Dr. Price has won numerous awards for his work, including an American Cancer Society Postdoctoral Fellowship, a Howard Temin Pathway to Independence Award from the National Institutes of Health (NIH), a National Science Foundation (NSF) CAREER award, a young investigator award from the Roy J. Carver Charitable Trust, and being named as one of the inaugural “Tomorrow’s PIs” by Genome Technology. He was also named as a Camille Dreyfus Teacher-Scholar,  received the 2016 Grace A. Goldsmith Award for his work pioneering scientific wellness, and was selected as an Emerging Leaders in Health and Medicine Scholar by the National Academy of Medicine.

Dr. Price also serves on numerous scientific advisory boards including for Roche (personalized healthcare division), Providence St. Joseph Health, Sera Prognostics, Trelys, Basepaws, Navican, Mexico’s National Institute for Genomic Medicine (INMEGEN), the Personalized Lifestyle Medicine Thought Leaders Council, and the Novo Nordisk Foundation Center for Biosustainability. Dr. Price served on the National Academy of Medicine committee to set best practice guidelines for developing omics-based tests in clinical trials from 2010-2012. He has served on the editorial boards of several scientific journals, including Cell SystemsScience Translational MedicineBMC Systems Biology, Industrial Biotechnology, Biotechnology Journal, and was previously a Deputy Editor of PLOS Computational Biology. He is also a fellow of the European Society of Preventive Medicine. He has published over 160 scientific papers (H-index > 57) and given over 200 invited talks.

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“Molecular Reflections of Health and Disease from Longitudinal Deep Phenotyping Across
Thousands of People


Healthcare in the 21st century will need to become increasingly focused on wellness as a key strategy for dealing with the chronic diseases that account for 86% of healthcare costs in the US. To enable the precision health strategies of the future — what we call ’scientific wellness’ — it is necessary to generate large amounts of data on healthy people to quantify wellness states and to observe the earliest transitions to disease in order to enable predictive and preventive medicine. I will discuss how such ‘deep phenotyping’ data has been used to: (1) inform about how our gut microbiome and blood metabolites are related; (2) how the gut microbiome becomes more unique to each individual in healthy aging (3) map out the manifestation of genetic risk in the body, giving clues about how we might design intervention strategies to preemptively reduce disease risk on a personalized basis; (4) how the success of lifestyle/dietary-aimed interventions is quantitatively affected by personal genetics, and (5) how we can use deep phenotyping to calculate ‘biological age’ measures that can be modified through actionable possibilities to track progress on wellness goals.  Taken together, such approaches hold tremendous promise for the future of health optimization and preventive medicine contextualized to each person’s unique genome, lifestyle, and history.


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JHU - Institute for Computational Medicine