Department of Computer Science at the University of Manitoba, Winnipeg, Canada.
Faculty of Computer Science at the University of New Brunswick, Frederiction, Canada.
Brief Bioinform. 2019 May 21;20(3):887-895. doi: 10.1093/bib/bbx139.
Genomic data hold salient information about the characteristics of a living organism. Throughout the past decade, pinnacle developments have given us more accurate and inexpensive methods to retrieve genome sequences of humans. However, with the advancement of genomic research, there is a growing privacy concern regarding the collection, storage and analysis of such sensitive human data. Recent results show that given some background information, it is possible for an adversary to reidentify an individual from a specific genomic data set. This can reveal the current association or future susceptibility of some diseases for that individual (and sometimes the kinship between individuals) resulting in a privacy violation. Regardless of these risks, our genomic data hold much importance in analyzing the well-being of us and the future generation. Thus, in this article, we discuss the different privacy and security-related problems revolving around human genomic data. In addition, we will explore some of the cardinal cryptographic concepts, which can bring efficacy in secure and private genomic data computation. This article will relate the gaps between these two research areas-Cryptography and Genomics.
基因组数据包含有关生物体特征的重要信息。在过去的十年中,重大的发展为我们提供了更准确和廉价的方法来获取人类基因组序列。然而,随着基因组研究的进步,人们越来越担心收集、存储和分析这些敏感的人类数据会侵犯隐私。最近的研究结果表明,在给定一些背景信息的情况下,对手可以从特定的基因组数据集中重新识别出个人。这可能会揭示该个人当前的疾病关联或未来的易感性(有时还会揭示个人之间的亲属关系),从而导致隐私侵犯。尽管存在这些风险,但我们的基因组数据对于分析我们和后代的健康状况非常重要。因此,在本文中,我们讨论了围绕人类基因组数据的不同隐私和安全相关问题。此外,我们还将探讨一些关键的密码学概念,这些概念可以在安全和私密的基因组数据计算中发挥作用。本文将探讨这两个研究领域——密码学和基因组学之间的差距。