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基因组数据多样化的伦理挑战:定性证据综合分析
Faranak Hardcastle1,2, Kate Lyle1,2, Rachel Horton1
1Clinical Ethics, Law and Society group (CELS), and Centre for Personalised Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Cambridge prisms. Precision medicine
|March 29, 2024
概括
基因组数据的多样化需要在研究结构和实践中解决伦理问题. 在不考虑社会背景的情况下,增加数据多样性的努力有可能加剧现有的健康不平等.
科学领域:
- 基因组学就是基因组学.
- 生物伦理学生物伦理学
- 健康 公平 卫生 公平
背景情况:
- 基因组研究历来缺乏多样性,特别是来自服务不足的人群.
- 努力多样化基因组数据面临着复杂的伦理挑战.
- 现有的健康不平等可能会被非道德的基因组研究实践加剧.
研究的目的:
- 探索基因组数据多样化的伦理问题.
- 确定影响伦理基因组研究的结构性和实际因素.
- 为基因组数据收集提出公平的方法.
主要方法:
- 定性合成设计. 定性合成设计.
- 经验性文章的快速审查 (2000-2022年).
- 专家研讨会和叙事审查.
主要成果:
- 伦理问题源于相互关联的结构因素 (例如,知识生产政治,现有的不平等) 和研究实践 (例如,缺乏反射性,剥削动态).
- 如果不能优先考虑有意义的联合制作和解决社会历史背景,可能会加剧不平等.
- 多种基因组数据本身并非伦理;伦理考虑必须是特定于环境的.
结论:
- 基因组数据的多样化需要解决系统不平等问题,改善研究实践.
- 伦理基因组数据收集需要有意义的参与者参与和反射性.
- 公平基因组学倡议必须在更广泛的社会正义框架内整合伦理考虑.
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