Privacy preserving technologies for human genome data analysis and dissemination

用于人类基因组数据分析和传播的隐私保护技术

• 批准号: 8738705
• 负责人: HAIXU TANG
• 金额: $ 29.4万
• 依托单位: TRUSTEES OF INDIANA UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-23 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8738705
• 关键词: Address; Algorithms; Archives; Area; Award; Base Pairing; Bioinformatics; Biomedical Computing; Collaborations; Computer Systems; Computer software; Computing Methodologies; DNA; DNA Sequence; Data; Data Analyses; Data Protection; Data Set; Development; Diagnosis; Disease; Ensure; Future; Genome; Genomics; Healthcare; Human; Human Genome; Human Resources; Meta-Analysis; Methods; Noise; Occupations; Outcome; Patients; Positron-Emission Tomography; Privacy; Procedures; Provider; Reading; Research; Research Infrastructure; Research Institute; Research Personnel; Resources; Secure; Security; Sequence Analysis; Services; Strategic Planning; Supercomputing; System; Techniques; Technology; Time; Translational Research; Trust; United States National Institutes of Health; Vendor; Work; Workload; clinical Diagnosis; computing resources; controlled release; cost; cost effective; cryptography; data sharing; design; genome sequencing; high standard; human subject; innovation; meetings; next generation sequencing; novel; programs; public health relevance; response; tool

DESCRIPTION (provided by applicant): The rapid development of Next Generation Sequencing (NGS) technologies significantly reduces the cost for producing DNA data. As a result, genome sequencing may soon become a routine tool for clinical diagnosis and therapy selection. In the meantime, the demand for large-scale meta-analysis of human genomic data from patients with various diseases is expected to grow substantially in the near future. However, the effort to meet such a demand has not benefited from the progress in sequencing technologies, due to the massive amount of computational resources needed for storing and analyzing the NGS data and the complicated procedures for researchers to get access to the data, which are put in place to protect the privacy of human subjects. To address such challenges and facilitate secure and also convenient DNA data sharing, we propose to study and develop a suite of innovative and transformative techniques aimed at achieving practical and cost-effective genomic data protection. Using these techniques, NIH data center can offer a centralized analysis service on the genome data it hosts; execute the analysis programs submitted by the data users, and control release of analysis outcomes to ensure the privacy of DNA donors. Our techniques will also help the center outsource the computation tasks it does not have sufficient resources to handle to the computing systems rented locally and remotely in a highly privacy-preserving manner. The proposed research will be conducted in a close collaboration with iDASH, a National Center for Biomedical Computing for "integrating Data for Analysis, Anonymization and Sharing", using its data to evaluate our techniques and its infrastructure to deploy them.

描述（由申请人提供）：下一代测序（NGS）技术的快速发展大大降低了生成DNA数据的成本。结果，基因组测序可能很快成为临床诊断和治疗选择的常规工具。同时，预计在不久的将来，对各种疾病患者的人类基因组数据进行大规模荟萃分析的需求预计将大大增长。但是，由于存储和分析NGS数据所需的大量计算资源以及研究人员获得了访问数据的复杂程序，因此满足这种需求的努力并没有从测序技术的进度中受益。为了应对此类挑战并促进安全且方便的DNA数据共享，我们建议研究和开发一套创新和变革性的技术，旨在实现实用和成本效益的基因组数据保护。使用这些技术，NIH数据中心可以在其托管的基因组数据上提供集中的分析服务；执行数据用户提交的分析程序，并控制分析结果的发布，以确保DNA供体的隐私。我们的技术还将帮助中心外包其没有足够的资源来处理本地租赁的计算系统的足够资源，以高度隐私的保护方式。拟议的研究将与国家生物医学计算中心进行密切合作，以“整合数据进行分析，匿名和共享数据”，并使用其数据评估我们的技术及其基础架构来部署它们。