论文标题
基因组数据的协作分析:愿景和挑战
Collaborative analysis of genomic data: vision and challenges
论文作者
论文摘要
近年来,DNA测序的成本导致了一系列遗传数据的激增来改善科学研究,临床程序和医疗保健。由于人类基因组可以唯一地识别一个人,因此这种特征也引起了安全和隐私问题。为了平衡风险和利益,已经建立了包括监管和道德控制在内的治理机制,这些机制容易受到人类错误的影响,并为协作造成了障碍。在过去的十年中,技术方法还赶上可以负责任地支持关键发现的技术方法。在本文中,我们探讨了法规和道德准则,并提出了对安全/私人基因组数据存储/处理/共享平台的愿景。然后,我们提出一些可用的技术和一个可以支持我们愿景的概念系统模型。最后,我们重点介绍了需要进一步调查的开放问题。
The cost of DNA sequencing has resulted in a surge of genetic data being utilised to improve scientific research, clinical procedures, and healthcare delivery in recent years. Since the human genome can uniquely identify an individual, this characteristic also raises security and privacy concerns. In order to balance the risks and benefits, governance mechanisms including regulatory and ethical controls have been established, which are prone to human errors and create hindrance for collaboration. Over the past decade, technological methods are also catching up that can support critical discoveries responsibly. In this paper, we explore regulations and ethical guidelines and propose our visions of secure/private genomic data storage/processing/sharing platforms. Then, we present some available techniques and a conceptual system model that can support our visions. Finally, we highlight the open issues that need further investigation.