AnoniMME: Bringing Anonymity to the Matchmaker Exchange Platform for Rare Disease Gene Discovery

Abstract

Advances in genome sequencing and genomics research are bringing us closer to a new era of personalized medicine, where healthcare can be tailored to the individuals genetic makeup, and to more effective diagnosis and treatment of rare genetic diseases. Much of this progress depends on collaborations and access to genomes, thus, a number of initiatives have been introduced to support seamless data sharing. Among these, the Global Alliance for Genomics and Health runs a popular platform, called Matchmaker Exchange, that allows researchers to perform queries for rare genetic disease discovery over multiple federated databases. Queries include gene variations which are linked to rare diseases, and the ability to find other researchers that have seen or have interest in those variations is extremely valuable. Nonetheless, in some cases, researchers may be reluctant to use the platform since the queries they make (thus, what they are working on) are revealed to other researchers, and this creates concerns with privacy and competitive advantage.\n\nIn this paper, we present AnoniMME, a novel framework geared to enable anonymous queries within the Matchmaker Exchange platform. We build on Reverse Private Information Retrieval (PIR) to let researchers anonymously query the federated platform, in a multi-server setting, by writing their query, along with a public encryption key, anonymously in a public database. AnoniMME also supports responses, allowing other researchers to respond to queries by providing their encrypted contact details.