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Marc Harary
Department of Science, Yale University, New Haven, United States of America
Publications
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Research Article
Secure Haplotype Imputation Employing Local Differential Privacy
Author(s): Marc Harary*
Recent literature has highlighted the security risks to human research subjects forfeiting sensitive genomic data to public reference panels. Such breaches to subject privacy may occur even in largescale biomedical analyses like genotype imputation, a preliminary stage of many clinical studies. To this end, we introduce Secure Haplotype Imputation Employing Local Differential Privacy (SHIELD). As a server-side pipeline, it combines the differentially private randomized response mechanism and the standard forward-backward algorithm to compute a Markov random field over incomplete genomic datasets submitted by client researchers. Critically, we show that SHIELD achieves modern imputation accuracy well within typical privacy budgets, providing mathematically provable privacy guarantees to reference panel donors without sacrificing client utility. We conclude that dev.. View more»