Towards practical Genome-Wide Association Studies: Overview and Challenges

Túlio Pascoal, J.E.A.P. Decouchant, Marcus Völp

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

The popularization of large-scale federated Genome-Wide Association Study (GWAS) where multiple data owners share their genome data to conduct federated analytics uncovers new privacy issues that have remained unnoticed or not given proper attention. Indeed, as soon as a diverse type of interested parties (e.g., private or public biocenters and governmental institutions from around the globe) and individuals from heterogeneous populations are participating in cooperative studies, interdependent and multi-party privacy appear as crucial issues that are currently not adequately assessed. In fact, in federated GWAS environments, the privacy of individuals and parties does not depend solely on their own behavior anymore but also on others, because a collaborative environment opens new credible adversary models. For instance, one might want to tailor the privacy guarantees to withstand the presence of potentially colluding federation members aiming to violate other members’ data privacy and the privacy deterioration that might occur in the presence of interdependent genomic data (e.g., due to the presence of relatives in studies or the perpetuation of previous genomic privacy leaks in future studies). In this work, we catalog and discuss the features, unsolved problems, and challenges to tackle toward truly end-to-end private and practical federated GWAS.
Original languageEnglish
Title of host publicationPETS'22 Workshop on Interdependent and Multi-party Privacy. Sydney, Australia
Number of pages5
Publication statusPublished - 2022
EventPETS 2022 Workshop on Interdependent and Multi-party Privacy -
Duration: 11 Jul 2022 → …
https://sites.google.com/asu.edu/idp-pets22/home?authuser=0#h.6bhjhyiqy7j0

Workshop

WorkshopPETS 2022 Workshop on Interdependent and Multi-party Privacy
Period11/07/22 → …
Internet address

Bibliographical note

This paper was presented at the PETS 2022 Workshop on Interdependent and Multi-party Privacy (see https://sites.google.com/asu.edu/idp-pets22/home?authuser=0#h.6bhjhyiqy7j0).

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