Using aggregate human genome data for individual identification

Abstract

Data privacy in genome-wide association studies (GWAS) is a critical yet under-exploited research area. In this paper, we first provide a method to construct a two-layered bayesian network explicitly revealing the conditional dependency between SNPs and traits, from the public GWAS catalog. Then we develop efficient algorithms for two attacks: identity… (More)
DOI: 10.1109/BIBM.2013.6732527

Topics

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