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

Genomic Data Sharing: Case Studies,Challenges,and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing, offering practical case studies and insights from international leaders.

Format: Paperback / softback
Length: 230 pages
Publication date: 10 December 2022
Publisher: Elsevier Science Publishing Co Inc

Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine offers a comprehensive exploration of the current and emerging challenges in genomic data sharing. This insightful book delves into these complex issues by presenting in-depth examinations conducted by international leaders in genomic data. Through practical case studies, it highlights key successes, obstacles, and opportunities, providing valuable insights for practitioners, policymakers, and researchers alike.

The book is organized into several sections, each addressing different aspects of genomic data sharing. These sections include:

eMERGE Network: This section provides an overview of the eMERGE Network, a consortium of academic medical centers dedicated to advancing precision medicine through genomic research.

Undiagnosed Disease Network: This section explores the Undiagnosed Disease Network, a global initiative aimed at identifying the genetic causes of rare diseases.

Vanderbilt Biobank: This section highlights the Vanderbilt Biobank, a large-scale biobank that collects and analyzes genomic data to study a wide range of health conditions.

Marshfield Clinic Biobank: This section focuses on the Marshfield Clinic Biobank, a comprehensive biobank that collects and shares genomic data to support research and clinical care.

Minnesota Authorization: This section discusses the Minnesota Authorization, a legal framework that allows for the sharing of genetic information for research purposes.

Rochester Epidemiology Project: This section provides an overview of the Rochester Epidemiology Project, a long-term study that collects and analyzes genomic data to study the causes of various diseases.

NIH sponsored biobanks: This section discusses the NIH-sponsored biobanks, which are large-scale repositories of genomic and clinical data for research purposes.

GINA (Genomic Information Nomenclature Authority): This section provides an overview of GINA, a standardized system for naming and describing genetic variations.

Global Alliance for Genomics and Health (GA4GH): This section discusses the Global Alliance for Genomics and Health, a global organization that promotes the responsible and ethical use of genomic data.

In addition to these perspectives from the frontlines, the book also offers succinct overviews of ethical, legal, social, and IT challenges. Clinician investigators, clinicians affiliated with academic medical centers, policymakers, and regulators will gain valuable insights that will enable them to navigate the increasingly complex ethical, social, and clinical landscape of genomic data sharing.

Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine is a valuable resource for anyone interested in advancing the field of precision medicine. By presenting comprehensive case studies and offering insights into the ethical, legal, social, and IT challenges, this book empowers practitioners, policymakers, and researchers to make informed decisions and contribute to the development of genomic data sharing.

Dimension: 235 x 191 (mm)
ISBN-13: 9780128198032