Building a Private Genomics Study with Stoffel MPC Without Central Data Collection
I Built a Private Genomics Study with Stoffel MPC
I built a proof of concept using Stoffel MPC to conduct a private genomics study where 100 simulated participants computed aggregate allele counts without anyone ever seeing their complete DNA data. By leveraging multi-party computation, this approach allows Monadic DNA users to contribute directly to research while keeping their genetic information on their devices, eliminating the need for a central server to collect sensitive records.
We no longer have to rely on a more robust privacy policy or a more secure central database. We can simply avoid collecting the raw data in one place.