GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data.
Détails
Etat: Public
Version: Final published version
Licence: CC BY-NC 4.0
ID Serval
serval:BIB_E4D4CB80455C
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data.
Titre du livre
Digital Personalized Health and Medicine
Editeur
IOS Press
ISBN
978-1-64368-082-8
ISSN
1879-8365 (Electronic)
ISSN-L
0926-9630
Statut éditorial
Publié
Date de publication
16/06/2020
Peer-reviewed
Oui
Volume
270
Série
Studies in health technology and informatics
Pages
238-241
Langue
anglais
Résumé
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.
Mots-clé
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
Web of science
Création de la notice
03/07/2020 19:36
Dernière modification de la notice
30/08/2024 11:39