Proceedings of the 7th iDASH Privacy and Security Workshop 2018

iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching

Authors: Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, XiaoFeng Wang, Tyler Bath, Diyue Bu, Lei Wang, Arif Harmanci, Shaojie Zhang, Degui Zhi, Heidi J. Sofia and Lucila Ohno-Machado

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...

Authors: Gamze Gürsoy, Robert Bjornson, Molly E. Green and Mark Gerstein

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...

Authors: Jun Jie Sim, Fook Mun Chan, Shibin Chen, Benjamin Hong Meng Tan and Khin Mi Mi Aung

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 ...

Authors: Katerina Sotiraki, Esha Ghosh and Hao Chen

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...

Authors: Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, Kurt Rohloff and Vinod Vaikuntanathan

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...

Authors: Nicholas D. Pattengale and Corey M. Hudson

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 ...

Authors: Mustafa Safa Ozdayi, Murat Kantarcioglu and Bradley Malin

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...

Authors: Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong and Jung Hee Cheon

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...

Authors: Sergiu Carpov, Nicolas Gama, Mariya Georgieva and Juan Ramon Troncoso-Pastoriza

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...

Authors: Miran Kim, Yongsoo Song, Baiyu Li and Daniele Micciancio

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...

Authors: Shuaicheng Ma, Yang Cao and Li Xiong