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Identifiability in biobanks: models, measures, and mitigation strategies

机译:生物库中的可识别性:模型,措施和缓解策略

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The collection and sharing of person-specific biospecimens has raised significant questions regarding privacy. In particular, the question of identifiability, or the degree to which materials stored in biobanks can be linked to the name of the individuals from which they were derived, is under scrutiny. The goal of this paper is to review the extent to which biospecimens and affiliated data can be designated as identifiable. To achieve this goal, we summarize recent research in identifiability assessment for DNA sequence data, as well as associated demographic and clinical data, shared via biobanks. We demonstrate the variability of the degree of risk, the factors that contribute to this variation, and potential ways to mitigate and manage such risk. Finally, we discuss the policy implications of these findings, particularly as they pertain to biobank security and access policies. We situate our review in the context of real data sharing scenarios and biorepositories.
机译:特定于人的生物标本的收集和共享提出了有关隐私的重大问题。特别是,关于可识别性的问题,或存储在生物库中的材料可以与来源物种的个人名称联系起来的程度,正在受到审查。本文的目的是审查生物标本和附属数据可被指定为可识别的程度。为了实现此目标,我们总结了通过生物库共享的DNA序列数据以及相关人口统计和临床数据的可识别性评估的最新研究。我们证明了风险程度的可变性,导致这种变化的因素以及减轻和管理此类风险的潜在方法。最后,我们讨论了这些发现的政策含义,尤其是与生物库安全和获取政策有关的问题。我们将审查放在实际数据共享方案和生物存储库的背景下。

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