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Updated: Jul 6, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
Citizen-centered, auditable and privacy-preserving population genomics
Dennis Grishin1,2, Jean Louis Raisaro3,4, Juan Ramón Troncoso-Pastoriza5
1Department of Genetics, Harvard Medical School, Boston, MA, USA. dgrishin@g.harvard.edu.
Abstract:
The growing number of health-data breaches, the use of genomic databases for law enforcement purposes and the lack of transparency of personal genomics companies are raising unprecedented privacy concerns. To enable a secure exploration of genomic datasets with controlled and transparent data access, we propose a citizen-centric approach that combines cryptographic privacy-preserving technologies, such as homomorphic encryption and secure multi-party computation, with the auditability of blockchains. Our open-source implementation supports queries on the encrypted genomic data of hundreds of thousands of individuals, with minimal overhead. We show that real-world adoption of our system alleviates widespread privacy concerns and encourages data access sharing with researchers.
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