Efficient privacy-preserving whole-genome variant queries.

ABSTRACT:

Motivation

Diagnosis and treatment decisions on genomic data have become widespread as the cost of genome sequencing decreases gradually. In this context, disease-gene association studies are of great importance. However, genomic data are very sensitive when compared to other data types and contains information about individuals and their relatives. Many studies have shown that this information can be obtained from the query-response pairs on genomic databases. In this work, we propose a method that uses secure multi-party computation to query genomic databases in a privacy-protected manner. The proposed solution privately outsources genomic data from arbitrarily many sources to the two non-colluding proxies and allows genomic databases to be safely stored in semi-honest cloud envi

SUBMITTER: Akgun M 

PROVIDER: S-EPMC9004657 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature