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基因组隐私与信任。

Genome Privacy and Trust.

机构信息

Department of Biomedical Informatics, Columbia University, New York, NY, USA; email:

New York Genome Center, New York, NY, USA.

出版信息

Annu Rev Biomed Data Sci. 2022 Aug 10;5:163-181. doi: 10.1146/annurev-biodatasci-122120-021311. Epub 2022 May 4.

DOI:10.1146/annurev-biodatasci-122120-021311
PMID:35508070
Abstract

Genomics data are important for advancing biomedical research, improving clinical care, and informing other disciplines such as forensics and genealogy. However, privacy concerns arise when genomic data are shared. In particular, the identifying nature of genetic information, its direct relationship to health status, and the potential financial harm and stigmatization posed to individuals and their blood relatives call for a survey of the privacy issues related to sharing genetic and related data and potential solutions to overcome these issues. In this work, we provide an overview of the importance of genomic privacy, the information gleaned from genomics data, the sources of potential private information leakages in genomics, and ways to preserve privacy while utilizing the genetic information in research. We discuss the relationship between trust in the scientific community and protecting privacy, illuminating a future roadmap for data sharing and study participation.

摘要

基因组学数据对于推进生物医学研究、改善临床护理以及为法医学和家谱学等其他学科提供信息都非常重要。然而,当基因组数据被共享时,就会产生隐私问题。特别是,遗传信息的识别性质、它与健康状况的直接关系,以及对个人及其血缘亲属造成的潜在经济伤害和污名化,都需要对与共享遗传和相关数据相关的隐私问题以及克服这些问题的潜在解决方案进行调查。在这项工作中,我们概述了基因组隐私的重要性、从基因组数据中获取的信息、基因组学中潜在的私人信息泄露源,以及在研究中利用遗传信息的同时保护隐私的方法。我们讨论了信任科学界与保护隐私之间的关系,为数据共享和研究参与指明了未来的路线图。

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引用本文的文献

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Trusted partners, community priorities, and data protections: requirements for precision medicine research with Alaska Native peoples.值得信赖的合作伙伴、社区优先事项和数据保护:阿拉斯加原住民精准医学研究的要求。
J Community Genet. 2025 Mar 3. doi: 10.1007/s12687-025-00779-2.
2
Privacy-Enhancing Technologies in Biomedical Data Science.生物医学数据科学中的隐私增强技术。
Annu Rev Biomed Data Sci. 2024 Aug;7(1):317-343. doi: 10.1146/annurev-biodatasci-120423-120107.
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Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.
评估基因数据集的隐私漏洞:范围综述
JMIR Bioinform Biotechnol. 2024 May 27;5:e54332. doi: 10.2196/54332.
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Future-proofing genomic data and consent management: a comprehensive review of technology innovations.未来基因组数据和知情同意管理:技术创新的综合评述。
Gigascience. 2024 Jan 2;13. doi: 10.1093/gigascience/giae021.
5
Record-matching of STR profiles with fragmentary genomic SNP data.STR 谱与片段性基因组 SNP 数据的记录匹配。
Eur J Hum Genet. 2023 Nov;31(11):1283-1290. doi: 10.1038/s41431-023-01430-9. Epub 2023 Aug 11.