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      A systematic literature review of individuals’ perspectives on privacy and genetic information in the United States

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          Abstract

          Concerns about genetic privacy affect individuals’ willingness to accept genetic testing in clinical care and to participate in genomics research. To learn what is already known about these views, we conducted a systematic review, which ultimately analyzed 53 studies involving the perspectives of 47,974 participants on real or hypothetical privacy issues related to human genetic data. Bibliographic databases included MEDLINE, Web of Knowledge, and Sociological Abstracts. Three investigators independently screened studies against predetermined criteria and assessed risk of bias. The picture of genetic privacy that emerges from this systematic literature review is complex and riddled with gaps. When asked specifically “are you worried about genetic privacy,” the general public, patients, and professionals frequently said yes. In many cases, however, that question was posed poorly or only in the most general terms. While many participants expressed concern that genomic and medical information would be revealed to others, respondents frequently seemed to conflate privacy, confidentiality, control, and security. People varied widely in how much control they wanted over the use of data. They were more concerned about use by employers, insurers, and the government than they were about researchers and commercial entities. In addition, people are often willing to give up some privacy to obtain other goods. Importantly, little attention was paid to understanding the factors–sociocultural, relational, and media—that influence people’s opinions and decisions. Future investigations should explore in greater depth which concerns about genetic privacy are most salient to people and the social forces and contexts that influence those perceptions. It is also critical to identify the social practices that will make the collection and use of these data more trustworthy for participants as well as to identify the circumstances that lead people to set aside worries and decide to participate in research.

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          Most cited references94

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          Identifying personal genomes by surname inference.

          Sharing sequencing data sets without identifiers has become a common practice in genomics. Here, we report that surnames can be recovered from personal genomes by profiling short tandem repeats on the Y chromosome (Y-STRs) and querying recreational genetic genealogy databases. We show that a combination of a surname with other types of metadata, such as age and state, can be used to triangulate the identity of the target. A key feature of this technique is that it entirely relies on free, publicly accessible Internet resources. We quantitatively analyze the probability of identification for U.S. males. We further demonstrate the feasibility of this technique by tracing back with high probability the identities of multiple participants in public sequencing projects.
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            Routes for breaching and protecting genetic privacy.

            We are entering an era of ubiquitous genetic information for research, clinical care and personal curiosity. Sharing these data sets is vital for progress in biomedical research. However, a growing concern is the ability to protect the genetic privacy of the data originators. Here, we present an overview of genetic privacy breaching strategies. We outline the principles of each technique, indicate the underlying assumptions, and assess their technological complexity and maturation. We then review potential mitigation methods for privacy-preserving dissemination of sensitive data and highlight different cases that are relevant to genetic applications.
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              Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol.

              To report the design and implementation of the Right Drug, Right Dose, Right Time-Using Genomic Data to Individualize Treatment protocol that was developed to test the concept that prescribers can deliver genome-guided therapy at the point of care by using preemptive pharmacogenomics (PGx) data and clinical decision support (CDS) integrated into the electronic medical record (EMR).
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                31 October 2018
                2018
                : 13
                : 10
                : e0204417
                Affiliations
                [1 ] Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN, United States of America
                [2 ] Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States of America
                [3 ] Center for Genetic Privacy & Identity in Community Settings, Vanderbilt University Medical Center, Nashville, TN, United States of America
                [4 ] Vanderbilt Evidence-Based Practice Center, Institute for Medicine and Public Health, and Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, United States of America
                [5 ] Departments of Biomedical Informatics and Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States of America
                [6 ] Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States of America
                Edith Cowan University, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Premier Applied Sciences, Charlotte, NC, United States of America

                Author information
                http://orcid.org/0000-0002-0308-4110
                Article
                PONE-D-18-09954
                10.1371/journal.pone.0204417
                6209148
                30379944
                c9f7ef10-70a1-4825-a4e8-952851efa47b
                © 2018 Clayton et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 April 2018
                : 5 September 2018
                Page count
                Figures: 3, Tables: 0, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000051, National Human Genome Research Institute;
                Award ID: 1RM1 HG009034
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000051, National Human Genome Research Institute;
                Award ID: 1 R01 HG006844
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000051, National Human Genome Research Institute;
                Award ID: 1U01 HG008672
                Funded by: funder-id http://dx.doi.org/10.13039/100000051, National Human Genome Research Institute;
                Award ID: 1R01 HG008605-01A1
                Award Recipient :
                This work was funded by the National Human Genome Research Institute, Centers of Excellence in Ethical, Legal and Social Implications Research (CEER) program (1RM1 HG009034), with secondary funding from 1 R01 HG006844, 1U01 HG008672, and 1R01 HG008605-01A1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Genomics
                Genomic Medicine
                Biology and Life Sciences
                Genetics
                Human Genetics
                Medicine and Health Sciences
                Clinical Genetics
                Genetic Testing
                Biology and Life Sciences
                Genetics
                Genomics
                Genomic Medicine
                Genetic Testing
                Biology and Life Sciences
                Genetics
                Human Genetics
                Genetic Testing
                People and places
                Population groupings
                Ethnicities
                African American people
                Medicine and Health Sciences
                Clinical Genetics
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Medicine and Health Sciences
                Research and Analysis Methods
                Database and Informatics Methods
                Biological Databases
                Genomic Databases
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genomic Databases
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Genomic Databases
                Custom metadata
                All relevant data are in the manuscript and its Supporting Information files. Additionally, the data have been submitted to the Systematic Review Data Repository.

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