Personalized Medicine: Current and Future Perspectives Personalized Medicine: Current and Future Perspectives
1. Personalized Medicine: Current and Future Perspectives Patricia Deverka, MD, MBe Duke University, Institute for Genome Sciences and Policy Rick J. Carlson, JD University of Washington
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6. Tools Needed for Prediction and Personalized Care Disease Burden Time Cost 1/reversibility Decision Support Tools: Baseline Risk Preclinical Progression Disease Initiation and Progression Assess Risk Refine Assessment Predict/Diagnose Monitor Progression Predict Events Inform Therapeutics Sources of New Biomarkers: Stable Genomics: Single Nucleotide Polymorphisms (SNPs) Haplotype Mapping Gene Sequencing Dynamic Genomics: Gene Expression Proteomics Metabolomics Molecular Imaging Therapeutic Decision Support Typical Current Intervention Earliest Clinical Detection Earliest Molecular Detection Initiating Events Baseline Risk
7. Prospective Health Care Risk Assessment and Decision Support Tools Personal Lifestyle Plan Disease Management Risk Modification Disease Burden Time Low Risk High Risk Early Chronic Cost 1/reversibility Personalized Health Plan Late Chronic Participating Population
8. What are some examples? Dosing of warfarin VKOR/CYP2C9 Guide prescribing/ adjust dose of ~25% of commonly used drugs CYP2D6/CYP2D19 Avoid use of chemotherapy in breast CA patients with low risk of recurrence Transcriptional profile – 21 genes Breast and ovarian cancer inherited risk, prophylactic tamoxifen and surgery BRCA1/2 Select Herceptin (trastuzumab) for breast cancer Her-2/neu receptor Application Biomarker