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Citizen-centered, auditable and privacy-preserving population genomics.
Grishin, Dennis; Raisaro, Jean Louis; Troncoso-Pastoriza, Juan Ramón; Obbad, Kamal; Quinn, Kevin; Misbach, Mickaël; Gollhardt, Jared; Sa, Joao; Fellay, Jacques; Church, George M; Hubaux, Jean-Pierre.
Afiliação
  • Grishin D; Department of Genetics, Harvard Medical School, Boston, MA, USA. dgrishin@g.harvard.edu.
  • Raisaro JL; Nebula Genomics Inc., San Francisco, CA, USA. dgrishin@g.harvard.edu.
  • Troncoso-Pastoriza JR; Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Obbad K; Data Science Group, Division of Information Systems, Lausanne University Hospital, Lausanne, Switzerland.
  • Quinn K; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Misbach M; Nebula Genomics Inc., San Francisco, CA, USA.
  • Gollhardt J; Nebula Genomics Inc., San Francisco, CA, USA.
  • Sa J; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Fellay J; Nebula Genomics Inc., San Francisco, CA, USA.
  • Church GM; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Hubaux JP; Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Nat Comput Sci ; 1(3): 192-198, 2021 Mar.
Article em En | MEDLINE | ID: mdl-38183193
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article