30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      If you build it, they will come: unintended future uses of organised health data collections

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Health research increasingly relies on organized collections of health data and biological samples. There are many types of sample and data collections that are used for health research, though these are collected for many purposes, not all of which are health-related. These collections exist under different jurisdictional and regulatory arrangements and include:

          1. Population biobanks, cohort studies, and genome databases

          2. Clinical and public health data

          3. Direct-to-consumer genetic testing

          4. Social media

          5. Fitness trackers, health apps, and biometric data sensors

          Ethical, legal, and social challenges of such collections are well recognized, but there has been limited attention to the broader societal implications of the existence of these collections.

          Discussion

          Although health research conducted using these collections is broadly recognized as beneficent, secondary uses of these data and samples may be controversial. We examine both documented and hypothetical scenarios of secondary uses of health data and samples. In particular, we focus on the use of health data for purposes of:

          • Forensic investigations

          • Civil lawsuits

          • Identification of victims of mass casualty events

          • Denial of entry for border security and immigration

          • Making health resource rationing decisions

          • Facilitating human rights abuses in autocratic regimes

          Conclusions

          Current safeguards relating to the use of health data and samples include research ethics oversight and privacy laws. These safeguards have a strong focus on informed consent and anonymization, which are aimed at the protection of the individual research subject. They are not intended to address broader societal implications of health data and sample collections. As such, existing arrangements are insufficient to protect against subversion of health databases for non-sanctioned secondary uses, or to provide guidance for reasonable but controversial secondary uses. We are concerned that existing debate in the scholarly literature and beyond has not sufficiently recognized the secondary data uses we outline in this paper. Our main purpose, therefore, is to raise awareness of the potential for unforeseen and unintended consequences, in particular negative consequences, of the increased availability and development of health data collections for research, by providing a comprehensive review of documented and hypothetical non-health research uses of such data.

          Related collections

          Most cited references123

          • Record: found
          • Abstract: found
          • Article: not found

          A new initiative on precision medicine.

          President Obama has announced a research initiative that aims to accelerate progress toward a new era of precision medicine, with a near-term focus on cancers and a longer-term aim to generate knowledge applicable to the whole range of health and disease.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The inevitable application of big data to health care.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
                Bookmark

                Author and article information

                Contributors
                519-824-4120 , kieran.odoherty@uoguelph.ca
                Journal
                BMC Med Ethics
                BMC Med Ethics
                BMC Medical Ethics
                BioMed Central (London )
                1472-6939
                6 September 2016
                6 September 2016
                2016
                : 17
                : 1
                : 54
                Affiliations
                [1 ]Department of Psychology, University of Guelph, Guelph, ON N1G 2W1 Canada
                [2 ]Centre for Medical Ethics, Faculty of Medicine, University of Oslo, Oslo, Norway
                [3 ]Norwegian Research Center for Computers and Law, Faculty of Law, University of Oslo, Oslo, Norway
                [4 ]Norwegian Cancer Genomics Consortium, Oslo, Norway
                [5 ]Department of Bioethics & Humanities, University of Washington, Seattle, USA
                [6 ]Ethox Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
                [7 ]UCSF Bioethics, Institute for Health & Aging, University of California, San Francisco, USA
                [8 ]Institute of Health Policy Management and Evaluation | Joint Centre for Bioethics, University of Toronto, Toronto, Canada
                [9 ]Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Canada
                Article
                137
                10.1186/s12910-016-0137-x
                5011895
                27600117
                4d7e3109-051b-4582-addc-30c41ae82ed0
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 December 2015
                : 25 August 2016
                Funding
                Funded by: The Research Council of Norway
                Award ID: BIOTEK2021/238999
                Award Recipient :
                Funded by: Canadian Institutes of Health Research (CA)
                Categories
                Review
                Custom metadata
                © The Author(s) 2016

                Medicine
                health data,privacy,secondary uses,discrimination,health research,biobanks,data sharing,dna
                Medicine
                health data, privacy, secondary uses, discrimination, health research, biobanks, data sharing, dna

                Comments

                Comment on this article