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Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine

Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine

Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision
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Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine Papeback -

by Jennifer B. McCormick (Editor); Jyotishman Pathak (Editor)

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pp. 360 . Papeback. New.
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Details

  • Title Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine
  • Author Jennifer B. McCormick (Editor); Jyotishman Pathak (Editor)
  • Binding Papeback
  • Condition New
  • Pages 230
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date pp. 360
  • Bookseller's Inventory # 6377702772
  • ISBN 9780128198032 / 0128198036
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.3 x 7.49 x 0.48 in (23.62 x 19.02 x 1.22 cm)
  • Category Medical / Nursing
  • Quantity available 3

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Reader reviews for Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine

From the publisher

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.

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