Edited by Lucila Ohno-Machado, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang and Tsung-Ting Kuo.
Volume 13 Supplement 7
Proceedings of the 7th iDASH Privacy and Security Workshop 2018
Research
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
San Diego, CA, USA15 October 2018
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Citation: BMC Medical Genomics 2020 13(Suppl 7):98
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Using blockchain to log genome dataset access: efficient storage and query
Genomic variants are considered sensitive information, revealing potentially private facts about individuals. Therefore, it is important to control access to such data. A key aspect of controlled access is sec...
Citation: BMC Medical Genomics 2020 13(Suppl 7):78 -
Achieving GWAS with homomorphic encryption
One way of investigating how genes affect human traits would be with a genome-wide association study (GWAS). Genetic markers, known as single-nucleotide polymorphism (SNP), are used in GWAS. This raises privac...
Citation: BMC Medical Genomics 2020 13(Suppl 7):90 -
Privately computing set-maximal matches in genomic data
Finding long matches in deoxyribonucleic acid (DNA) sequences in large aligned genetic sequences is a problem of great interest. A paradigmatic application is the identification of distant relatives via large ...
Citation: BMC Medical Genomics 2020 13(Suppl 7):72 -
Optimized homomorphic encryption solution for secure genome-wide association studies
Genome-Wide Association Studies (GWAS) refer to observational studies of a genome-wide set of genetic variants across many individuals to see if any genetic variants are associated with a certain trait. A typi...
Citation: BMC Medical Genomics 2020 13(Suppl 7):83 -
Decentralized genomics audit logging via permissioned blockchain ledgering
One of the tasks in the iDASH Secure Genome Analysis Competition in 2018 was to develop blockchain-based immutable logging and querying for a cross-site genomic dataset access audit trail. The specific challen...
Citation: BMC Medical Genomics 2020 13(Suppl 7):102 -
Leveraging blockchain for immutable logging and querying across multiple sites
Blockchain has emerged as a decentralized and distributed framework that enables tamper-resilience and, thus, practical immutability for stored data. This immutability property is important in scenarios where ...
Citation: BMC Medical Genomics 2020 13(Suppl 7):82 -
Privacy-preserving approximate GWAS computation based on homomorphic encryption
One of three tasks in a secure genome analysis competition called iDASH 2018 was to develop a solution for privacy-preserving GWAS computation based on homomorphic encryption. The scenario is that a data holde...
Citation: BMC Medical Genomics 2020 13(Suppl 7):77 -
Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population. I...
Citation: BMC Medical Genomics 2020 13(Suppl 7):88 -
Semi-Parallel logistic regression for GWAS on encrypted data
The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples ca...
Citation: BMC Medical Genomics 2020 13(Suppl 7):99 -
Efficient logging and querying for blockchain-based cross-site genomic dataset access audit
Genomic data have been collected by different institutions and companies and need to be shared for broader use. In a cross-site genomic data sharing system, a secure and transparent access control audit module...
Citation: BMC Medical Genomics 2020 13(Suppl 7):91
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