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Genome privacy: challenges technical approaches to mitigate risk and ethical considerations in the United States

机译:基因组隐私:美国面临的挑战缓解风险的技术方法以及道德考量

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摘要

Accessing and integrating human genomic data with phenotypes is important for biomedical research. Making genomic data accessible for research purposes, however, must be handled carefully to avoid leakage of sensitive individual information to unauthorized parties and improper use of data. In this article, we focus on data sharing within the scope of data accessibility for research. Current common practices to gain biomedical data access are strictly rule based, without a clear and quantitative measurement of the risk of privacy breaches. In addition, several types of studies require privacy-preserving linkage of genotype and phenotype information across different locations (e.g., genotypes stored in a sequencing facility and phenotypes stored in an electronic health record) to accelerate discoveries. The computer science community has developed a spectrum of techniques for data privacy and confidentiality protection, many of which have yet to be tested on real-world problems. In this article, we discuss clinical, technical, and ethical aspects of genome data privacy and confidentiality in the United States, as well as potential solutions for privacy-preserving genotype–phenotype linkage in biomedical research.
机译:访问和整合具有表型的人类基因组数据对于生物医学研究很重要。但是,必须谨慎处理使基因组数据可用于研究的目的,以避免敏感的个人信息泄露给未授权方以及数据的不正确使用。在本文中,我们重点研究数据可访问性范围内的数据共享。当前获取生物医学数据访问的常规做法严格基于规则,而没有清晰定量地衡量隐私受到破坏的风险。另外,几种类型的研究需要跨不同位置的基因型和表型信息的隐私保护链接(例如,存储在测序设备中的基因型和电子病历中存储的表型),以加快发现速度。计算机科学界已经开发出了一系列用于数据隐私和机密保护的技术,其中许多技术尚未针对实际问题进行测试。在本文中,我们讨论了美国基因组数据隐私和机密性的临床,技术和伦理方面,以及生物医学研究中保护隐私的基因型-表型连锁的潜在解决方案。

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