PLEDGE Abstract The Precision Medicine Initiative?s (PMI?s) overarching goal is to transform our understanding of the factors that contribute to health and disease, and ultimately, to leverage this understanding to information how we prevent and treat disease. This bold objective will be operationalized in the creation of a longitudinal cohort of 1 million individuals. The PMI?s coordinating center (CC) (called Partnership in Learning around Engagement, Data, Genomics, and Environment, or ?PLEDGE?) operationalizes this vision, serving as a hub for the PMI Network leading the optimization of participant engagement strategies, robust data infrastructure, facilitative support of researchers, coordination and communication between the diverse stakeholders of the Network, and responsibility for enrollment of the Cohort?s direct volunteers. PLEDGE?s goals are illustrated by four proposed specific aims: 1) Support the network and its Steering Committee to establish, implement, monitor and reach its programmatic goals. Serve as a visible national home for the PMI, representing its mission and value to participants and to health; provide a ?one stop shop? storefront for all needs, inquiries, and provision of data access for high caliber research; 2) Enroll a diverse group of highly engaged direct volunteers without sacrificing inclusiveness for quantity; 3) Harmonize technical practices among Healthcare Provider Organizations including data standards, elements, and models, while nurturing innovation from network sites when conformity is not beneficial. Apply stringent privacy and security safeguards; and finally, 4) Generate support for PMI beyond the network?s personnel to continuously incorporate new knowledge and tools, by deploying innovative contests, crowd sourcing, and matchmaking services.
PLEDGE Narrative The Precision Medicine Initiative will collect comprehensive data from a diverse cohort of 1 million individuals. We will establish the PMI Coordinating Center to enable PMI?s mission: to sustainably improve the health of individuals and populations through the application of new knowledge resulting from rigorous research studies.
| Zhou, Wei; Nielsen, Jonas B; Fritsche, Lars G et al. (2018) Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies. Nat Genet 50:1335-1341 |
| Warner, Jeremy L; Prasad, Ishaan; Bennett, Makiah et al. (2018) SMART Cancer Navigator: A Framework for Implementing ASCO Workshop Recommendations to Enable Precision Cancer Medicine. JCO Precis Oncol 2018: |
| Denny, Joshua C; Van Driest, Sara L; Wei, Wei-Qi et al. (2018) The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug Development. Clin Pharmacol Ther 103:409-418 |
| Khera, Amit V; Kathiresan, Sekar (2017) Is Coronary Atherosclerosis One Disease or Many? Setting Realistic Expectations for Precision Medicine. Circulation 135:1005-1007 |
