A game theoretic approach to balance privacy risks and familial benefits.

ABSTRACT: As recreational genomics continues to grow in its popularity, many people are afforded the opportunity to share their genomes in exchange for various services, including third-party interpretation (TPI) tools, to understand their predisposition to health problems and, based on genome similarity, to find extended family members. At the same time, these services have increasingly been reused by law enforcement to track down potential criminals through family members who disclose their genomic information. While it has been observed that many potential users shy away from such data sharing when they learn that their privacy cannot be assured, it remains unclear how potential users' valuations of the service will affect a population's behavior. In this paper, we present a game theoretic framew

SUBMITTER: Guo J 

PROVIDER: S-EPMC10147669 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature