Privacy-preserving genomic testing in the clinic: a model using HIV treatment.

ABSTRACT:

Purpose

The implementation of genomic-based medicine is hindered by unresolved questions regarding data privacy and delivery of interpreted results to health-care practitioners. We used DNA-based prediction of HIV-related outcomes as a model to explore critical issues in clinical genomics.

Methods

We genotyped 4,149 markers in HIV-positive individuals. Variants allowed for prediction of 17 traits relevant to HIV medical care, inference of patient ancestry, and imputation of human leukocyte antigen (HLA) types. Genetic data were processed under a privacy-preserving framework using homomorphic encryption, and clinical reports describing potentially actionable results were delivered to health-care providers.

Results

A total of 230 patients were included in the study. We

SUBMITTER: McLaren PJ 

PROVIDER: S-EPMC4985613 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature