• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基因组数据共享的监督:伦理和数据访问委员会应发挥什么作用?

Oversight of Genomic Data Sharing: What Roles for Ethics and Data Access Committees?

作者信息

Shabani Mahsa, Dove Edward S, Murtagh Madeleine, Knoppers Bartha Maria, Borry Pascal

机构信息

1 Department of Public Health and Primary Care, Center for Biomedical Ethics and Law, University of Leuven , Leuven, Belgium .

2 J. Kenyon Mason Institute for Medicine, Life Sciences and the Law, School of Law, University of Edinburgh , Edinburgh, United Kingdom .

出版信息

Biopreserv Biobank. 2017 Oct;15(5):469-474. doi: 10.1089/bio.2017.0045. Epub 2017 Aug 24.

DOI:10.1089/bio.2017.0045
PMID:28836815
Abstract

Discussions regarding responsible genomic data sharing often center around ethical and legal issues such as the consent, privacy, and confidentiality of individuals, families, and communities. To ensure the ethical grounds of genomic data sharing, oversight by both research ethics and Data Access Committees (DACs) across the research lifecycle is warranted. In this article, we review these oversight practices and argue that they reveal a compelling need to clarify the scope of ethical considerations by oversight bodies and to delineate core elements such as "objectionable" data uses. Ethical oversight of genomic data sharing would be considerably improved if the relevant ethical considerations by research ethics and DACs were coordinated. We therefore suggest several mechanisms to achieve greater clarification of ethical considerations by these committees, as well as greater communication and coordination between both to ensure robust and sustained ethical oversight of genomic data sharing.

摘要

关于负责任的基因组数据共享的讨论通常围绕伦理和法律问题展开,如个人、家庭和社区的同意、隐私和保密。为确保基因组数据共享的伦理基础,在整个研究生命周期中,研究伦理和数据访问委员会(DAC)的监督是必要的。在本文中,我们回顾了这些监督实践,并认为它们揭示了一个迫切需求,即需要明确监督机构的伦理考量范围,并界定诸如“令人反感的”数据使用等核心要素。如果研究伦理和DAC的相关伦理考量能够协调一致,基因组数据共享的伦理监督将得到显著改善。因此,我们提出了几种机制,以实现这些委员会对伦理考量的更清晰阐释,以及两者之间更好的沟通与协调,从而确保对基因组数据共享进行有力且持续的伦理监督。

相似文献

1
Oversight of Genomic Data Sharing: What Roles for Ethics and Data Access Committees?基因组数据共享的监督:伦理和数据访问委员会应发挥什么作用?
Biopreserv Biobank. 2017 Oct;15(5):469-474. doi: 10.1089/bio.2017.0045. Epub 2017 Aug 24.
2
Balancing the local and the universal in maintaining ethical access to a genomics biobank.在维持对基因组生物样本库的伦理获取方面平衡地方与普遍因素。
BMC Med Ethics. 2017 Dec 28;18(1):80. doi: 10.1186/s12910-017-0240-7.
3
Ethical concerns on sharing genomic data including patients' family members.关于共享包括患者家庭成员在内的基因组数据的伦理问题。
BMC Med Ethics. 2018 Jun 18;19(1):61. doi: 10.1186/s12910-018-0310-5.
4
Data Access Committees.数据访问委员会。
BMC Med Ethics. 2020 Feb 3;21(1):12. doi: 10.1186/s12910-020-0453-z.
5
"You want the right amount of oversight": interviews with data access committee members and experts on genomic data access.“你需要适度的监督”:对数据访问委员会成员和基因组数据访问专家的访谈
Genet Med. 2016 Sep;18(9):892-7. doi: 10.1038/gim.2015.189. Epub 2016 Jan 21.
6
Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure.更好的治理,更好的获取:在 METADAC 治理基础设施中实践负责任的数据共享。
Hum Genomics. 2018 Apr 26;12(1):24. doi: 10.1186/s40246-018-0154-6.
7
Australia: regulating genomic data sharing to promote public trust.澳大利亚:规范基因组数据共享以增进公众信任。
Hum Genet. 2018 Aug;137(8):583-591. doi: 10.1007/s00439-018-1914-z. Epub 2018 Aug 16.
8
Who should have access to genomic data and how should they be held accountable? Perspectives of Data Access Committee members and experts.谁应该能够访问基因组数据,以及他们应如何承担责任?数据访问委员会成员和专家的观点。
Eur J Hum Genet. 2016 Dec;24(12):1671-1675. doi: 10.1038/ejhg.2016.111. Epub 2016 Aug 24.
9
Genomic Data-Sharing Practices.基因组数据共享实践。
J Law Med Ethics. 2019 Mar;47(1):31-40. doi: 10.1177/1073110519840482.
10
Artificial intelligence and medical research databases: ethical review by data access committees.人工智能和医学研究数据库:数据访问委员会的伦理审查。
BMC Med Ethics. 2023 Jul 8;24(1):49. doi: 10.1186/s12910-023-00927-8.

引用本文的文献

1
(Not So) Lost in Translation: Considering the GA4GH Diversity in Datasets Policy in the Japanese Context.(并非)迷失在翻译中:在日本背景下考量GA4GH数据集多样性政策
Asian Bioeth Rev. 2024 Aug 16;17(1):59-72. doi: 10.1007/s41649-024-00305-5. eCollection 2025 Jan.
2
The role of community engagement in promoting research participants' understanding of pharmacogenomic research results: Perspectives of stakeholders involved in HIV/AIDS research and treatment.社区参与在促进研究参与者对药物基因组学研究结果的理解中的作用:参与 HIV/AIDS 研究和治疗的利益相关者的观点。
PLoS One. 2024 Apr 2;19(4):e0299081. doi: 10.1371/journal.pone.0299081. eCollection 2024.
3
Specific measures for data-intensive health research without consent: a systematic review of soft law instruments and academic literature.
无同意数据密集型健康研究的具体措施:软性法律文书和学术文献的系统综述。
Eur J Hum Genet. 2024 Jan;32(1):21-30. doi: 10.1038/s41431-023-01471-0. Epub 2023 Oct 17.
4
Artificial intelligence and medical research databases: ethical review by data access committees.人工智能和医学研究数据库:数据访问委员会的伦理审查。
BMC Med Ethics. 2023 Jul 8;24(1):49. doi: 10.1186/s12910-023-00927-8.
5
Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.利用算法改进基因组数据访问和管理的决策工作流程。
Biopreserv Biobank. 2022 Oct;20(5):429-435. doi: 10.1089/bio.2022.0042. Epub 2022 Jun 30.
6
The social licence for data-intensive health research: towards co-creation, public value and trust.数据密集型健康研究的社会许可:走向共同创造、公共价值和信任。
BMC Med Ethics. 2021 Aug 10;22(1):110. doi: 10.1186/s12910-021-00677-5.
7
A policy Delphi study to validate the key implications of data sharing (KIDS) framework for pediatric genomics in Canada.采用政策德尔菲研究验证数据共享(KIDS)框架在加拿大儿科基因组学中的关键影响。
BMC Med Ethics. 2021 Jun 9;22(1):71. doi: 10.1186/s12910-021-00635-1.
8
Ethics review of big data research: What should stay and what should be reformed?大数据研究的伦理审查:哪些应保留,哪些应改革?
BMC Med Ethics. 2021 Apr 30;22(1):51. doi: 10.1186/s12910-021-00616-4.
9
Humanizing Big Data: Recognizing the Human Aspect of Big Data.使大数据人性化:认识大数据中的人文因素。
Front Oncol. 2020 Mar 13;10:186. doi: 10.3389/fonc.2020.00186. eCollection 2020.
10
The Data Tags Suite (DATS) model for discovering data access and use requirements.数据标签套件 (DATS) 模型,用于发现数据访问和使用需求。
Gigascience. 2020 Feb 1;9(2). doi: 10.1093/gigascience/giz165.