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I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies. (arXiv:2208.08361v1 [q-bio.GN])
Aug. 18, 2022, 1:20 a.m. | Túlio Pascoal, Jérémie Decouchant, Antoine Boutet, Marcus Völp
cs.CR updates on arXiv.org arxiv.org
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, …
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