Original paper
Deriving genomic diagnoses without revealing patient genomes
Abstract
Sharing data, protecting privacy Although data-sharing is crucial for making the best use of genetic data in diagnosing disease, many individuals who might donate data are concerned about privacy. Jagadeesh et al. describe a solution that combines a protocol from modern cryptography with frequency-based clinical genetics used to diagnose causal disease mutations in patients with monogenic disorders. This framework correctly identified the causal...
Paper Details
Title
Deriving genomic diagnoses without revealing patient genomes
Published Date
Aug 17, 2017
Journal
Volume
357
Issue
6352
Pages
692 - 695