Literature DB >> 21726926

From consent to institutions: designing adaptive governance for genomic biobanks.

Kieran C O'Doherty1, Michael M Burgess, Kelly Edwards, Richard P Gallagher, Alice K Hawkins, Jane Kaye, Veronica McCaffrey, David E Winickoff.   

Abstract

Biobanks are increasingly hailed as powerful tools to advance health research. The social and ethical challenges associated with the implementation and operation of biobanks are equally well-documented. One of the proposed solutions to these challenges involves trading off a reduction in the specificity of informed consent protocols with an increased emphasis on governance. However, little work has gone into formulating what such governance might look like. In this paper, we suggest four general principles that should inform biobank governance and illustrate the enactment of these principles in a proposed governance model for a particular population-scale biobank, the British Columbia (BC) Generations Project. We begin by outlining four principles that we see as necessary for informing sustainable and effective governance of biobanks: (1) recognition of research participants and publics as a collective body, (2) trustworthiness, (3) adaptive management, and (4) fit between the nature of a particular biobank and the specific structural elements of governance adopted. Using the BC Generations Project as a case study, we then offer as a working model for further discussion the outlines of a proposed governance structure enacting these principles. Ultimately, our goal is to design an adaptive governance approach that can protect participant interests as well as promote effective translational health sciences.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21726926     DOI: 10.1016/j.socscimed.2011.05.046

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  60 in total

Review 1.  The tension between data sharing and the protection of privacy in genomics research.

Authors:  Jane Kaye
Journal:  Annu Rev Genomics Hum Genet       Date:  2012-03-09       Impact factor: 8.929

2.  Why governance? A challenge to good governance of biobanks.

Authors:  Katharine Browne
Journal:  Monash Bioeth Rev       Date:  2015-12

3.  Beyond Consent: Building Trusting Relationships With Diverse Populations in Precision Medicine Research.

Authors:  Stephanie A Kraft; Mildred K Cho; Katherine Gillespie; Meghan Halley; Nina Varsava; Kelly E Ormond; Harold S Luft; Benjamin S Wilfond; Sandra Soo-Jin Lee
Journal:  Am J Bioeth       Date:  2018-04       Impact factor: 11.229

4.  "Forward-Thinking" in U.S. Biobanking.

Authors:  R Jean Cadigan; Teresa P Edwards; Dragana Lassiter; Arlene M Davis; Gail E Henderson
Journal:  Genet Test Mol Biomarkers       Date:  2017-01-24

5.  Engaging Diverse Stakeholders to Inform Biobank Governance.

Authors:  Marie Murphy; Sarah B Garrett; Elizabeth Boyd; Sarah Dry; Daniel Dohan
Journal:  Biopreserv Biobank       Date:  2017-02-02       Impact factor: 2.300

6.  Health Research with Big Data: Time for Systemic Oversight.

Authors:  Effy Vayena; Alessandro Blasimme
Journal:  J Law Med Ethics       Date:  2018-03-27       Impact factor: 1.718

Review 7.  Biobanks and personalized medicine.

Authors:  J E Olson; S J Bielinski; E Ryu; E M Winkler; P Y Takahashi; J Pathak; J R Cerhan
Journal:  Clin Genet       Date:  2014-03-27       Impact factor: 4.438

8.  Research participants' attitudes towards the confidentiality of genomic sequence information.

Authors:  Leila Jamal; Julie C Sapp; Katie Lewis; Tatiane Yanes; Flavia M Facio; Leslie G Biesecker; Barbara B Biesecker
Journal:  Eur J Hum Genet       Date:  2013-11-27       Impact factor: 4.246

9.  Community engagement in US biobanking: multiplicity of meaning and method.

Authors:  K M Haldeman; R J Cadigan; A Davis; A Goldenberg; G E Henderson; D Lassiter; E Reavely
Journal:  Public Health Genomics       Date:  2014-02-19       Impact factor: 2.000

Review 10.  Evolving approaches to the ethical management of genomic data.

Authors:  Jean E McEwen; Joy T Boyer; Kathie Y Sun
Journal:  Trends Genet       Date:  2013-02-28       Impact factor: 11.639

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