Choosing blindly but wisely: differentially private solicitation of DNA datasets for disease marker discovery. (28th October 2014)

• Record Type: Journal Article
• Authors: Zhao, Yongan; Wang, Xiaofeng; Jiang, Xiaoqian; Ohno-Machado, Lucila; Tang, Haixu
• Is Part Of: Journal of the American Medical Informatics Association. Volume 22:Number 1(2015:Jan.)
• Page Start: 100
• Page End: 108
• Publication Date: 2014-10-28
• Subjects: Privacy-preserving techniques -- Genome-wide association studies -- Differential Privacy -- Test statistics -- Single nucleotide polymorphisms (SNPs) -- Haplotype blocks; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1136/amiajnl-2014-003043
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract : Objective To propose a new approach to privacy preserving data selection, which helps the data users access human genomic datasets efficiently without undermining patients' privacy. Methods Our idea is to let each data owner publish a set of differentially-private pilot data, on which a data user can test-run arbitrary association-test algorithms, including those not known to the data owner a priori. We developed a suite of new techniques, including a pilot-data generation approach that leverages the linkage disequilibrium in the human genome to preserve both the utility of the data and the privacy of the patients, and a utility evaluation method that helps the user assess the value of the real data from its pilot version with high confidence. Results We evaluated our approach on real human genomic data using four popular association tests. Our study shows that the proposed approach can help data users make the right choices in most cases. Conclusions Even though the pilot data cannot be directly used for scientific discovery, it provides a useful indication of which datasets are more likely to be useful to data users, who can therefore approach the appropriate data owners to gain access to the data.