Literature DB >> 26640318

Privacy in the Genomic Era.

Muhammad Naveed1, Erman Ayday2, Ellen W Clayton3, Jacques Fellay2, Carl A Gunter1, Jean-Pierre Hubaux2, Bradley A Malin3, Xiaofeng Wang4.   

Abstract

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to) (i) an association with traits and certain diseases, (ii) identification capability (e.g., forensics), and (iii) revelation of family relationships. Moreover, direct-to-consumer DNA testing increases the likelihood that genome data will be made available in less regulated environments, such as the Internet and for-profit companies. The problem of genome data privacy thus resides at the crossroads of computer science, medicine, and public policy. While the computer scientists have addressed data privacy for various data types, there has been less attention dedicated to genomic data. Thus, the goal of this paper is to provide a systematization of knowledge for the computer science community. In doing so, we address some of the (sometimes erroneous) beliefs of this field and we report on a survey we conducted about genome data privacy with biomedical specialists. Then, after characterizing the genome privacy problem, we review the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policy. This paper concludes with an enumeration of the challenges for genome data privacy and presents a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward.

Entities:  

Keywords:  Additional Key Words and Phrases: genomics privacy; biomedical research; healthcare; recreational genomics; security

Year:  2015        PMID: 26640318      PMCID: PMC4666540          DOI: 10.1145/2767007

Source DB:  PubMed          Journal:  ACM Comput Surv        ISSN: 0360-0300            Impact factor:   10.282


  80 in total

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Authors:  Alan E Guttmacher; Francis S Collins
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7.  How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems.

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Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

9.  The sequence of the human genome.

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10.  Mapping the human genome: an assessment of media coverage and public reaction.

Authors:  Ellen S Tambor; Barbara A Bernhardt; Joann Rodgers; Neil A Holtzman; Gail Geller
Journal:  Genet Med       Date:  2002 Jan-Feb       Impact factor: 8.822

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2.  Detecting the Presence of an Individual in Phenotypic Summary Data.

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3.  Privacy-preserving biomedical data dissemination via a hybrid approach.

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4.  Clinical Research Informatics for Big Data and Precision Medicine.

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5.  Local Differential Privacy Protection of High-Dimensional Perceptual Data by the Refined Bayes Network.

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6.  Secure cloud computing for genomic data.

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Review 7.  Privacy-preserving techniques of genomic data-a survey.

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8.  Parallel and private generalized suffix tree construction and query on genomic data.

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10.  Privacy-Preserving Artificial Intelligence Techniques in Biomedicine.

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