Responsible Genomic Data Sharing - 1st Edition - ISBN: 9780128161975

Responsible Genomic Data Sharing

1st Edition

Challenges and Approaches

Editors: Xiaoqian Jiang Haixu Tang
Paperback ISBN: 9780128161975
Imprint: Academic Press
Published Date: 1st March 2020
Page Count: 384
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Responsible Genomic Data Sharing: Challenges and Approaches brings together international experts in genomics research, bioinformatics and digital security who analyze common challenges in genomic data sharing, privacy preserving technologies, and best practices for large-scale genomic data sharing. Practical case studies, including the Global Alliance for Genomics and Health, the Beacon Network, and the Matchmaker Exchange, are discussed in-depth, illuminating pathways forward for new genomic data sharing efforts across research and clinical practice, industry and academia.

Key Features

  • Addresses privacy preserving technologies and how they can be applied to enable responsible genomic data sharing
  • Employs illustrative case studies and analyzes emerging genomic data sharing efforts, common challenges and lessons learned
  • Features chapter contributions from international experts in responsible approaches to genomic data sharing


Active clinical and translational researchers across genetics, genomics, molecular biology, molecular diagnostics, and bioinformatics; pharmacologists; genetic counselors. Students at the graduate level and above in genetics, genomics, bioinformatics, molecular biology, and pharmaceutical science

Table of Contents

Section I: Privacy Challenges in Genomic Data Sharing
1. Criticality of data sharing in genomic research
Dr. Goncalo Abecasis, University of Michigan, or Nancy Cox, Vanderbilt University
2. Public views of genomic data sharing
Dr. Anna Middleton, Sanger Institute UK
3. Ethics issues in genomic data sharing (informed consent, patient-centric view, etc)
Cinnamon Bloss/ Dav Fox
4. models of sharing genomic data (controlled access, registered users and open access)
Dr. Stephanie Dyke, University of McGill
5. Information leaks in aggregate genomic data, inference attacks
Dr. Erman Ayday, Case Western Reserve University

Section II: Privacy-Preserving Techniques for Responsible Genomic Data Sharing
6. Overview
Dr. Kristin Lauter, MIcrosoft Research
7. Homomorphic encryption
Kim Laine, Microsoft Research
8. SMC
Yan Huang, Indiana University
9. DP, LLR test, etc
Anand Sarwate, Rutgers University
10. Game theory approach
Malin Bradley, Vanderbilt University
11. Hardware (SGX)
Mona Vij, Intel

Section III: Practices of Responsible Genomic Data Sharing
12. Genomic data sharing within large genomic research consortium (e.g, ICGC)
Lincoln Stein, Ontario Institute for Cancer Research
13. GA4GH: Building tools and standards for responsible genomic data sharing
Dixie Baker, Martin, Blanck and Associates
14. Beacon
Marc Fiume, DNAStack
15. Matchmaker exchange for rare disease patients
Dr. Ada Hamosh, Johns Hopkins University
16. ExAC (exome consortium)
Dr. Daniel MacArthur, Harvard Medical School


No. of pages:
© Academic Press 2020
1st March 2020
Academic Press
Paperback ISBN:

About the Editor

Xiaoqian Jiang

Dr. Jiang is a Christopher Sarofim associate professor and center director for health security and phenotyping in the School of Biomedical Informatics (SBMI) at The University of Texas Health Science Center at Houston (UTHealth). Before joining UThealth, he was an associate professor with tenure in the Department of Biomedical Informatics (DBMI) at UCSD. He is an associate editor of BMC Medical Informatics and Decision Making and served as the editorial board member of Journal of American Medical Informatics Association. He works primarily in health data privacy and predictive models in biomedicine. He received CPRIT Rising Stars and UT Stars awards and best and distinguished paper awards from American Medical Informatics Association (AMIA) Joint Summits on Translational Science (2012, 2013, 2016). He is one of the organizers of the iDASH Genome Privacy Workshops, which was reported by Nature News and GenomeWeb.

Affiliations and Expertise

Associate Professor, Carnegie Mellon University, School of Computer Science

Haixu Tang

Dr. Haixu Tang is a Professor of Computer Science and the Director of Data Science Academic Programs in School of Informatics, Computing, and Engineering at Indiana University, Bloomington. His primary research interests include algorithmic statistical problems in genomics and proteomics, and has been working on genome privacy protection algorithms since 2008. He received the NSF CAREER Award in 2007, and the PETS award for his work in genome privacy in 2009. He is one of the organizers of the iDASH Genome Privacy Workshops.

Affiliations and Expertise

Professor, Department of Computer Science, Indiana University, Bloomington, IN, USA

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