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Learn the fundamentals of homomorphic encryption and its application to genomic data privacy in this 36-minute primer talk from the Broad Institute's Models, Inference and Algorithms series. Explore how large-scale biobanks like UK Biobank and the US All of Us program manage millions of genomic sequences, each requiring approximately 300 GB of storage, while addressing the privacy concerns that arise from relying on public cloud infrastructure. Discover how homomorphic encryption enables computations to be performed directly on encrypted data without exposing raw genomic information. Examine the Brakerski Gentry Vaikuntanathan (BGV) scheme for integer-based homomorphic computation, understand its underlying mechanisms, and review existing implementations in genotype-phenotype databases. Gain insights into current limitations of homomorphic encryption in genomics research contexts and understand how this technology could advance precision medicine while maintaining ultra-secure data protection.
