Genomic Data Sharing 1st edition- Ebook Instant Download/Delivery ISBN(s): 9780128198032,0128198036,9780128198049, 0128198044
Product details:
- ISBN 10: 0128198044
- ISBN 13:9780128198049
- Author: Jennifer B. Mccormick, Jyotishman Pathak
Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing. In this book, international leaders in genomic data examine these issues in-depth, offering practical case studies that highlight key successes, challenges and opportunities. Sections discuss the eMERGE Network, Undiagnosed Disease Network, Vanderbilt Biobank, Marshfield Clinic Biobank, Minnesota Authorization, Rochester Epidemiology Project, NIH sponsored biobanks, GINA, and Global Alliance for Genomics and Health (GA4GH). In addition to these perspectives from the frontlines, the book also provides succinct overviews of ethical, legal, social and IT challenges.
Clinician investigators, clinicians affiliated with academic medical centers, policymakers and regulators will also gain insights that will allow them to navigate the increasingly complex ethical, social and clinical landscape of genomic data sharing.
Table contents:
1. Introduction
2. From Public Resources to Improving Health: How genomic data sharing empowers science and medicine
3. Biobank case example: Marshfield Clinic
4. Multidirectional Genetic and Genomic Data Sharing in the All of Us Research Program
5. A community approach to standards development: the Global Alliance for Genomics and Health (GA4GH)
6. Clinical Genomic Data on FHIR®: Case Studies in the Development and Adoption of the Genomics Reporting Implementation Guide
7. Genomics Data Sharing
8. Data Standardization in the Omics field
9. Data Sharing: The Public’s Perspective
10. Genetic Data Sharing in the View of the EU General Data Protection Regulation (GDPR)
11. Genomic Data Sharing and Intellectual Property
12. Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine
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