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本文引用的文献

1
Data sharing in genomics--re-shaping scientific practice.基因组学中的数据共享——重塑科学实践。
Nat Rev Genet. 2009 May;10(5):331-5. doi: 10.1038/nrg2573.
2
Inferential genotyping of Y chromosomes in Latter-Day Saints founders and comparison to Utah samples in the HapMap project.耶稣基督后期圣徒教会创始人Y染色体的推断基因分型及与HapMap计划中犹他样本的比较。
Am J Hum Genet. 2009 Feb;84(2):251-8. doi: 10.1016/j.ajhg.2009.01.018.
3
Research ethics. Certificates of confidentiality and compelled disclosure of data.研究伦理。保密证书与数据的强制披露。
Science. 2008 Nov 14;322(5904):1054-5. doi: 10.1126/science.1164100.
4
Genomic anonymity: have we already lost it?基因组匿名性:我们是否已经失去了它?
Am J Bioeth. 2008 Oct;8(10):71-4. doi: 10.1080/15265160802478560.
5
Personal genomes: when consent gets in the way.个人基因组:当同意成为阻碍时。
Nature. 2008 Nov 6;456(7218):32-3. doi: 10.1038/456032a.
6
On Jim Watson's APOE status: genetic information is hard to hide.关于吉姆·沃森的载脂蛋白E(APOE)状态:基因信息难以隐瞒。
Eur J Hum Genet. 2009 Feb;17(2):147-9. doi: 10.1038/ejhg.2008.198. Epub 2008 Oct 22.
7
The regulation of direct-to-consumer genetic tests.直接面向消费者的基因检测的监管。
Hum Mol Genet. 2008 Oct 15;17(R2):R180-3. doi: 10.1093/hmg/ddn253.
8
Genetic privacy. Whole-genome data not anonymous, challenging assumptions.基因隐私。全基因组数据并非匿名,这对一些假设提出了挑战。
Science. 2008 Sep 5;321(5894):1278. doi: 10.1126/science.321.5894.1278.
9
Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.使用高密度单核苷酸多态性(SNP)基因分型微阵列解析对高度复杂混合物贡献微量DNA的个体。
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My sister's keeper?: genomic research and the identifiability of siblings.我妹妹的守护者?:基因组研究与兄弟姐妹的可识别性
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评估基因组学数据共享中的隐私风险。

Assessing the privacy risks of data sharing in genomics.

作者信息

Heeney C, Hawkins N, de Vries J, Boddington P, Kaye J

机构信息

The Ethox Centre, Department of Public Health and Primary Care, University of Oxford, Oxford, UK.

出版信息

Public Health Genomics. 2011;14(1):17-25. doi: 10.1159/000294150. Epub 2010 Mar 29.

DOI:10.1159/000294150
PMID:20339285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2872768/
Abstract

The protection of identity of participants in medical research has traditionally been guaranteed by the maintenance of the confidentiality of health information through mechanisms such as only releasing data in an aggregated form or after identifying variables have been removed. This protection of privacy is regarded as a fundamental principle of research ethics, through which the support of research participants and the public is maintained. Whilst this traditional model was adopted for genetics and genomics research, and was generally considered broadly fit for purpose, we argue that this approach is increasingly untenable in genomics. Privacy risk assessments need to have regard to the whole data environment, not merely the quality of the dataset to be released in isolation. As sources of data proliferate, issues of privacy protection are increasingly problematic in relation to the release of genomic data. However, we conclude that, by paying careful attention to potential pitfalls, scientific funders and researchers can take an important part in attempts to safeguard the public and ensure the continuation of potentially important scientific research.

摘要

传统上,医学研究参与者身份的保护是通过诸如仅以汇总形式发布数据或在识别变量被删除后发布数据等机制来维护健康信息的保密性来保证的。这种隐私保护被视为研究伦理的一项基本原则,通过它来维持研究参与者和公众的支持。虽然这种传统模式被用于遗传学和基因组学研究,并且通常被认为大体上适用于此目的,但我们认为这种方法在基因组学中越来越站不住脚。隐私风险评估需要考虑整个数据环境,而不仅仅是孤立发布的数据集的质量。随着数据来源的激增,与基因组数据发布相关的隐私保护问题日益突出。然而,我们得出的结论是,通过仔细关注潜在的陷阱,科学资助者和研究人员可以在保护公众和确保潜在重要科学研究的持续进行的努力中发挥重要作用。