Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.

ABSTRACT:

Background

Genetic 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 is a lack of guidelines or recommendations that support data processors in performing such an evaluation.

Objective

This study aims to gain a comprehensive understanding of the privacy vulnerabilities of genetic data and create a summary that can guide data processors in assessing the privacy risk of genetic data sets.

Methods

We conducted a 2-step search, in which we first identified 21 reviews published between 2017 and 2023 on the topic of genomic privacy and then analyzed all references cited

SUBMITTER: Thomas M 

PROVIDER: S-EPMC11165293 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature