An evaluation of the current state of genomic data privacy protection technology and a roadmap for the future.
The incorporation of genomic data into personal medical records poses many challenges to patient privacy. In response, various systems for preserving patient privacy in shared genomic data have been developed and deployed. Although these systems de-identify the data by removing explicit identifiers (e.g., name, address, or Social Security number) and incorporate sound security design principles, they suffer from a lack of formal modeling of inferences learnable from shared data. This [...]
Author(s): Malin, Bradley A
DOI: 10.1197/jamia.M1603