数据驱动医学时代的遗传信息隐私

Jingquan Li
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引用次数: 13

摘要

随着基因组测序成本的不断降低,基因检测越来越多地被用于确认或协助检测和治疗许多疾病。23andMe和Navigenics等公司通过互联网直接向消费者提供使用全基因组技术的基因测试。随着遗传信息来源的激增,与遗传信息的使用和披露有关的隐私保护问题越来越成问题。本文旨在识别遗传信息中最重要的隐私威胁,并解释如何使用隐私技术和策略来减轻这些威胁。本文首先阐述了数据驱动医学时代的遗传信息隐私问题。然后,它确定了对遗传信息最重要的威胁,并提出了一个案例研究,说明这些威胁如何可能是基因检测实体的内在威胁。由于现有的隐私保护方法不足以应对这些威胁,我们开发了一个全面的隐私和安全框架,该框架集成了政策考虑和创新的数据匿名化技术,并概述了可以采取的保护基因隐私的对策。最后,我们对研究的意义和未来的研究方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Information Privacy in the Age of Data-Driven Medicine
As the costs for genomic sequencing continue to decrease, genetic testing is increasingly being used to confirm or assist in detection and treatment of many diseases. Companies such as 23andMe and Navigenics offer genetic tests using genome-wide technology direct to consumers over the Internet. As sources of genetic information proliferate, issues of privacy protection are increasingly problematic in relation to the use and disclosure of genetic information. This paper aims to identify the most important privacy threats to genetic information, and explain how to use privacy techniques and policies to mitigate the threats. This paper first describes the problem of genetic information privacy in the age of data-driven medicine. It then identifies the most important threats to genetic information and presents a case study that demonstrates how these threats might be intrinsic to genetic testing entities. Since existing privacy protection approaches are inadequate to address the threats, we develop a comprehensive privacy and security framework that integrates policy considerations and innovative data anonymization technologies and sketch countermeasures which can be taken to protect genetic privacy. We conclude with a discussion of the implications of the study and directions of future research.
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