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        How Multi-Omics Profiling Can Redefine Precision Health and Medicine

        Coupling relatively routine datasets such as genomes and transcriptomes with newer types—most notably mass spectrometry-based proteomes, and metabolomes—produces an “integrative Personal Omics Profile,” (iPOP). Watch and learn this Clinical OMICS On-demand webinar where we will discuss how this multi-omics approach, when combined with clinical research observation, can unlock the complexity of systems biology at the individual level. Some key areas that will be discussed:

        • High-resolution biochemical profiles using metabolomics and mass spectrometry as part of iPOP
        • The potential of iPOP demonstrated in diabetes risk
        • Recent examples of iPOP showing the potential to identify individuals what will manifest signs of illness
        • The future of the iPOP approach

        About the presenter

        Michael Snyder PH.D., Professor and Chair, Department of Genetics; Director, Center for Genomics and Personalized Medicine; Stanford University School of Medicine

        Michael Snyder PH.D.
        Professor and Chair, Department of Genetics
        Director, Center for Genomics and Personalized Medicine
        Stanford University School of Medicine

        Dr. Mike Snyder, Ph.D. 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 developed many technologies in genomics and proteomics that have been used for characterizing genomes, proteomes and regulatory networks.

        Seminal findings from the Snyder laboratory include the discovery that much more of the human genome is transcribed and contains regulatory information than was previously appreciated, and a high diversity of transcription factor binding occurs both between and within species.

        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.

        Fill out the form to view the free
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