Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA.
Department of Computer Science, Princeton University, 35 Olden Street, Princeton, New Jersey 08540, USA.
Nat Rev Genet. 2014 Jun;15(6):409-21. doi: 10.1038/nrg3723. Epub 2014 May 8.
We are entering an era of ubiquitous genetic information for research, clinical care and personal curiosity. Sharing these data sets is vital for progress in biomedical research. However, a growing concern is the ability to protect the genetic privacy of the data originators. Here, we present an overview of genetic privacy breaching strategies. We outline the principles of each technique, indicate the underlying assumptions, and assess their technological complexity and maturation. We then review potential mitigation methods for privacy-preserving dissemination of sensitive data and highlight different cases that are relevant to genetic applications.
我们正步入一个研究、临床护理和个人好奇心都能获得无处不在的基因信息的时代。为了推进生物医学研究,分享这些数据集至关重要。然而,人们越来越担心的是能否保护数据来源者的基因隐私。在这里,我们概述了基因隐私泄露策略。我们列出了每种技术的原理,指出了其基本假设,并评估了它们的技术复杂性和成熟度。然后,我们回顾了用于保护敏感数据传播隐私的潜在缓解方法,并强调了与基因应用相关的不同情况。