Responsible Genomic Data Sharing Challenges and Approaches
Coordonnateurs : Jiang Xiaoqian, Tang Haixu
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.
Section I: Privacy Challenges in Genomic Data Sharing 1. Criticality of Data Sharing in Genomic Research & Public views of genomic data sharing Gamze Gursoy 2. Genomic data access policy models Stephanie Dyke 3. Information leaks in aggregate genomic data, inference attacks Erman Ayday 4. Genealogical search using whole genome genotype profiles Yuan Wei, Ryan Lewis, Ardalan Naseri, Shaojie Zhang, Degui Zhi
Section II: Privacy-Preserving Techniques for Responsible Genomic Data Sharing 5. Homomorphic encryption Kim Laine 6. Secure Multiparty Computing (MPC) Yan Huang 7. Game-Theoretic Approaches (for Genomic Privacy) Zhiyu Wan 8. Hardware (SGX) Somnath Chakrabarti, Thomas Knauth, Dmitrii Kuvaiskii, Michael Steiner and Mona Vij
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
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.
- 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
Date de parution : 03-2020
Ouvrage de 210 p.
19x23.3 cm
Thème de Responsible Genomic Data Sharing :
Mots-clés :
Genomics; human genomics; genetics; human genetics; genomic data sharing; genomic data; genomic biobank; precision medicine; personalized medicine; individualized medicine; genomic research; ethics and genomic data; ELSI and genomic data; sharing genomic data; controlled access and genomic data; genomic data and registered users; direct-to-consumer genetic testing; genomic data and open access; aggregate genomic data; inference attacks and genomic data; homomorphic encryption; SMC and genomic data; genomic data and LLR test; genomic data and game theory; genomic data and hardware; patient information; electronic healthcare records; regulation of genomic data; genetic data; regulation of genetic data
