GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data.

Details

Serval ID
serval:BIB_E4D4CB80455C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data.
Journal
Studies in health technology and informatics
Author(s)
Raisaro J.L., Troncoso-Pastoriza J.R., El-Zein Y., Humbert M., Troncoso C., Fellay J., Hubaux J.P.
ISSN
1879-8365 (Electronic)
ISSN-L
0926-9630
Publication state
Published
Issued date
16/06/2020
Peer-reviewed
Oui
Volume
270
Pages
238-241
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
One major obstacle to developing precision medicine to its full potential is the privacy concerns related to genomic-data sharing. Even though the academic community has proposed many solutions to protect genomic privacy, these so far have not been adopted in practice, mainly due to their impact on the data utility. We introduce GenoShare, a framework that enables individual citizens to understand and quantify the risks of revealing genome-related privacy-sensitive attributes (e.g., health status, kinship, physical traits) from sharing their genomic data with (potentially untrusted) third parties. GenoShare enables informed decision-making about sharing exact genomic data, by jointly simulating genome-based inference attacks and quantifying the risk stemming from a potential data disclosure.
Keywords
Confidentiality, Databases, Genetic/ethics, Disclosure, Genetic Privacy, Genome, Genomics/ethics, Humans, Information Dissemination/ethics, Informed Consent, Medical Record Linkage, genomic privacy, inference, privacy-conscious tools, risk quantification
Pubmed
Create date
03/07/2020 18:36
Last modification date
15/07/2020 5:26
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