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

      Secondary use of genomic data: patients’ decisions at point of testing and perspectives to inform international data sharing

      research-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

          International sharing of genomic data files arising from clinical testing of patients is essential to further improve genomic medicine. Whilst the general public are reluctant to donate DNA for research, the choices patients actually make about sharing their clinical genomic data for future re-use (research or clinical) are unknown. We ascertained the data-sharing choices of 1515 patients having genomic testing for inherited conditions or cancer treatment from clinical consent forms. To understand the experiences and preferences of these patients, surveys were administered after test consent (RR 73%). Almost all patients (98%) consented to share their data. Survey respondents’ decision recall was high (90%), but poorer if English was an additional language ( p < 0.001). Parents deciding on behalf of children were over-represented amongst data-sharing decliners ( p = 0.047) and decliners were more likely to believe that stored data could be easily reidentified ( p < 0.001). A quarter of respondents did not know if reidentification would be easy and 44% of them were concerned about this possibility. Of those willing to share data overseas (60%), 23% indicated the recipient researcher’s country would affect their decision. Most respondents (89%) desired some ongoing control over research use of their data. Four preliminary data-sharing profiles emerged; their further development could inform tailored patient resources. Our results highlight considerations for establishment of systems to make clinical genomic data files available for reanalysis locally and across borders. Patients’ willingness to share their data – and value of the resulting research – should encourage clinical laboratories to consider sharing data systematically for secondary uses.

          Related collections

          Most cited references27

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

          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Three approaches to qualitative content analysis.

            Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The 100 000 Genomes Project: bringing whole genome sequencing to the NHS

                Bookmark

                Author and article information

                Contributors
                cgaff@unimelb.edu.au
                Journal
                Eur J Hum Genet
                Eur J Hum Genet
                European Journal of Human Genetics
                Springer International Publishing (Cham )
                1018-4813
                1476-5438
                25 March 2024
                25 March 2024
                June 2024
                : 32
                : 6
                : 717-724
                Affiliations
                [1 ]GRID grid.1058.c, ISNI 0000 0000 9442 535X, Murdoch Children’s Research Institute, The Royal Children’s Hospital, ; 50 Flemington Road, Parkville, VIC 3052 Australia
                [2 ]Melbourne Genomics Health Alliance, ( https://ror.org/05rwzhy90) Parkville, VIC 3052 Australia
                [3 ]Department of Paediatrics, University of Melbourne, ( https://ror.org/01ej9dk98) Parkville, VIC 3052 Australia
                [4 ]Victorian Clinical Genetics Services, ( https://ror.org/01mmz5j21) Parkville, VIC 3052 Australia
                [5 ]Deakin Law school, Deakin University, ( https://ror.org/02czsnj07) Burwood, VIC 3125 Australia
                Author information
                http://orcid.org/0000-0001-5263-4329
                http://orcid.org/0009-0006-0601-2522
                http://orcid.org/0000-0003-0908-7280
                http://orcid.org/0000-0003-0160-4159
                Article
                1531
                10.1038/s41431-023-01531-5
                11153578
                38528053
                681db3e3-4be1-4c4e-ba0b-7e133e60f6cd
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 April 2023
                : 14 September 2023
                : 19 December 2023
                Funding
                Funded by: Melbourne Genomics Health Alliance
                Categories
                Article
                Custom metadata
                © European Society of Human Genetics 2024

                Genetics
                genetic counselling,health policy,ethics,genetic testing,genetics research
                Genetics
                genetic counselling, health policy, ethics, genetic testing, genetics research

                Comments

                Comment on this article