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Large prospective, population-based cohorts are the optimal design for defining disease burden and studying the many genetic, lifestyle, and environmental factors that underlie human disease. Leveraging or expanding existing efforts to establish a large-scale population cohort may serve to create a much needed national research resource with which to examine genetic and environmental contributions to disease and advance personalized medicine. The symposium, organized by the NIH Office of the Director, will feature the UK Biobank and other large-scale national and international efforts and involve a series of plenary sessions and discussion panels to highlight novel approaches, lessons learned, and emerging opportunities in key aspects of study design including recruitment, examination and assessment, biospecimens, health records, IT infrastructure; consent, ethics, and access; and funding.
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NLM Title:
New models for large prospective studies / Division of Program Coordination, Planning, and Strategic Initiatives, OD, NIH.
Author:
National Institutes of Health (U.S.). Division of Program Coordination, Planning, and Strategic Initiatives.
Publisher:
Abstract:
(CIT): Large prospective, population-based cohorts are the optimal design for defining disease burden and studying the many genetic, lifestyle, and environmental factors that underlie human disease. Leveraging or expanding existing efforts to establish a large-scale population cohort may serve to create a much needed national research resource with which to examine genetic and environmental contributions to disease and advance personalized medicine. The symposium, organized by the NIH Office of the Director, will feature the UK Biobank and other large-scale national and international efforts and involve a series of plenary sessions and discussion panels to highlight novel approaches, lessons learned, and emerging opportunities in key aspects of study design including recruitment, examination and assessment, biospecimens, health records, IT infrastructure; consent, ethics, and access; and funding.
Subjects:
Databases, Genetic Population Surveillance Prospective Studies Public Health
