Reference : I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/51979
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
English
Pascoal, Túlio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CritiX >]
Decouchant, Jérémie mailto [TU Delft]
Boutet, Antoine [University of Lyon > INSA, INRIA]
Volp, Marcus [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CritiX >]
Jul-2023
Proceedings on Privacy Enhancing Technologies
Yes
International
[en] Interdependent privacy ; Genomic Privacy ; Federated GWASes
[en] Genome-wide Association Studies (GWASes) identify genomic variations that are statistically associated with a trait, such as a disease, in a group of individuals. Unfortunately, careless sharing of GWAS statistics might give rise to privacy attacks. Several works attempted to reconcile secure processing with privacy-preserving releases of GWASes. However, we highlight that these approaches remain vulnerable if GWASes utilize overlapping sets of individuals and genomic variations. In such conditions, we show that even when relying on state-of-the-art techniques for protecting releases, an adversary could reconstruct the genomic variations of up to 28.6% of participants, and that the released statistics of up to 92.3% of the genomic variations would enable membership inference attacks. We introduce I-GWAS, a novel framework that securely computes and releases the results of multiple possibly interdependent GWASes. I-GWAS continuously releases privacy-preserving and noise-free GWAS results as new genomes become available.
http://hdl.handle.net/10993/51979
https://petsymposium.org/2023/paperlist.php

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