Privacy-Preserving Genomic Disease Susceptibility Testing Using Secure Multiparty Computation

Abstract

The paradigm shift invoked by next-generation sequencing (NGS) technologies gives rise to the applications of in silico human genomic data in the clinical set- ting – one application being genomic disease susceptability testing (DST). DST utilizing sensitive genomic data implicates the need for keeping the test private and secure: where both medical unit of a patient and research group with the disease markers want their genomic data private from each other and to any other adversary that could stigmatize and/or discriminate the medical unit’s patients and that could compromise the profitable disease markers of the research group. To contribute to this need for privacy in DST’s genomic data, this project aims to deliver a privacy-preserving genomic disease susceptibility testing over a secure multiparty computation environment using Sharemind.