bioRxivBioinformaticsPreprint
Towards a new standard in genomic data privacy: a realization of owner-governance
Jingcheng ZhangiD, Yingxuan Ren, Man Ho AuiD, Ka-Ho ChowiD, Yekai ZhouiD, Lei CheniD, Yanmin ZhaoiD, Junhao SuiD, Ruibang LuoiD
Abstract
With the rapid developments in sequencing technologies, individuals now have unprecedented access to their genomic data. However, existing data management systems or protocols are inadequate for protecting privacy, limiting individuals control over their genomic information, hindering data sharing, and posing a challenge for biomedical research. To fill the gap, an owner-governed system that fulfills owner authority, lifecycle data encryption, and verifiability at the same time is prompted. In this paper, we realized Governome, an owner-governed data management system designed to empower individuals with absolute control over their genomic data during data sharing. Governome uses a blockchain to manage all transactions and permissions, enabling data owners with dynamic permission management and to be fully informed about every data usage. It uses homomorphic encryption and zero-knowledge proofs to enable genomic data storage and computation in an encrypted and verifiable form for its whole lifecycle. Governome supports genomic analysis tasks, including individual variant query, cohort study, GWAS analysis, and forensics. Query of a variants genotype distribution among 2,504 1kGP individuals in Governome can be efficiently completed in under 18 hours on an ordinary server. Governome is an open-source project available at https://github.com/HKU-BAL/Governome.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
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