Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review

BackgroundGenetic data are widely considered inherently identifiable. However, genetic data sets come in many shapes and sizes, and the feasibility of privacy attacks depends on their specific content. Assessing the reidentification risk of genetic data is complex, yet there...

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Bibliographic Details
Published in:JMIR Bioinformatics and Biotechnology
Main Authors: Mara Thomas, Nuria Mackes, Asad Preuss-Dodhy, Thomas Wieland, Markus Bundschus
Format: Article
Language:English
Published: JMIR Publications 2024-05-01
Online Access:https://bioinform.jmir.org/2024/1/e54332