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In this paper, we propose privacy-enhancing technologies for medical tests and personalized medicine methods that use patients' genomic data. Focusing on genetic disease-susceptibility tests, we develop a new architecture (between the patient and the medical unit) and propose a "privacy-preserving disease susceptibility test" (PDS) by using homomorphic(More)
—In this paper, we propose privacy-enhancing technologies for personal use of the genomic data and analyze the tradeoff between genomic privacy and storage cost of the genomes. First, we highlight the potential privacy threats on the genomic data. Then, focusing specifically on a disease-susceptibility test, we develop a new architecture (between the(More)
Geneticists prefer to store patients' aligned, raw genomic data, in addition to their variant calls (compact and summarized form of the raw data), mainly because of the immaturity of bioinformatic algorithms and sequencing platforms. Thus, we propose a privacy-preserving system to protect the privacy of aligned, raw genomic data. The raw genomic data of a(More)
Erman prefaced his presentation with the disclaimer that " the talk will be mostly dominated by Genomics, " and the discussion quickly lead into the proverbial security-oriented rabbit hole; genomic sequence data is yet another sensitive source, perhaps more so than others, and thus requires adequate protection by way of confidentiality. But just how(More)
Revelation of privacy-sensitive data about the patient. Cross-layer attacks. • Using privacy-sensitive information belonging to a victim retrieved from different sources. • Homomorphic encryption to perform scientific investigations on integrated genomic data. • Read mapping to align short sequences to a reference genome.
Recently, several solutions have been proposed to address the complex challenge of protecting individuals' genetic data during personalized medicine tests. In this short paper, we analyze different privacy threats and propose simple countermeasures for the generic architecture mainly used in the literature. In particular, we present and evaluate a new(More)
PURPOSE The implementation of genomic-based medicine is hindered by unresolved questions regarding data privacy and delivery of interpreted results to health-care practitioners. We used DNA-based prediction of HIV-related outcomes as a model to explore critical issues in clinical genomics. METHODS We genotyped 4,149 markers in HIV-positive individuals.(More)
The Global Alliance for Genomics and Health (GA4GH) created the Beacon Project as a means of testing the willingness of data holders to share genetic data in the simplest technical context-a query for the presence of a specified nucleotide at a given position within a chromosome. Each participating site (or "beacon") is responsible for assuring that genomic(More)
—The growing availability of genomic data is revolutionizing both genomic research and medical practice by enabling what is referred to as precision medicine. Yet, one major obstacle to the development of precision medicine to its full potential is the privacy concerns related to genomic-data sharing. Unfortunately, no solution that protects genomic privacy(More)
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