CAREER: Privacy-Preserving Sharing of Genomic Databases

职业：基因组数据库的隐私保护共享

• 批准号: 2141622
• 负责人: Erman Ayday
• 金额: $ 50万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141622&HistoricalAwards=false
• 关键词: CAREER; Privacy; Preserving; Sharing; Genomic

Substantial progress has been achieved towards reducing the cost of DNA sequencing, resulting in generation and availability of large amounts of genomic data. Public availability of this data and sharing of genomic databases between institutions are vital to paving the way towards personalized medicine. However, there are significant risks in sharing genomic data, which carries a lot of sensitive information about its owner, such as his/her disease predispositions (e.g., for Alzheimer's), ancestry, and physical attributes. This threat to genomic privacy is magnified by the fact that a person's genome is correlated to his/her family members' genomes, thus leading to interdependent privacy risks. In this project, the main research objective is to develop privacy-preserving techniques for sharing genomic databases (and statistics about genomic databases) under diverse settings that include the following: (i) when a database owner (researcher) shares statistics about its database; (ii) when a database owner shares its entire database (e.g., after data use agreements) with a client; and (iii) when database owners outsource the storage and processing of their databases to a third-party cloud server. The project will also address important and challenging issues, such as, verification of shared statistics by a client, liability of shared databases in case of their unauthorized sharing, and maximizing the utility of shared data. For all developed techniques, the project team will evaluate/quantify privacy using state-of-the-art genomic privacy quantification algorithms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在降低 DNA 测序成本方面已经取得了实质性进展，从而产生并提供了大量基因组数据。这些数据的公开获取以及机构之间基因组数据库的共享对于为个性化医疗铺平道路至关重要。然而，共享基因组数据存在重大风险，因为基因组数据携带了有关其所有者的大量敏感信息，例如他/她的疾病倾向（例如阿尔茨海默氏症）、血统和身体特征。一个人的基因组与其家庭成员的基因组相关，这一事实放大了对基因组隐私的威胁，从而导致相互依赖的隐私风险。在该项目中，主要研究目标是开发隐私保护技术，用于在不同的环境下共享基因组数据库（以及有关基因组数据库的统计数据），包括：（i）当数据库所有者（研究人员）共享有关其数据库的统计数据时； (ii) 当数据库所有者与客户共享其整个数据库时（例如，在签订数据使用协议后）； (iii) 数据库所有者将其数据库的存储和处理外包给第三方云服务器。该项目还将解决重要且具有挑战性的问题，例如客户共享统计数据的验证、共享数据库在未经授权共享的情况下的责任以及最大化共享数据的效用。对于所有开发的技术，项目团队将使用最先进的基因组隐私量化算法来评估/量化隐私。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。

项目成果

Privacy-Preserving Database Fingerprinting

保护隐私的数据库指纹

• 发表时间: 2023-03
• 期刊: The Annual Network & Distributed System Security Symposium – NDSS
• 作者: T. Ji;E. Ayday;E. Yilmaz;P. Li
• 通讯作者: P. Li

Privacy-preserving federated genome-wide association studies via dynamic sampling

通过动态采样进行隐私保护联合全基因组关联研究

• DOI: 10.1093/bioinformatics/btad639
• 发表时间: 2023-10-03
• 期刊: Bioinformatics
• 影响因子: 5.8
• 作者: Wang, Xinyue;Dervishi, Leonard;Li, Wentao;Ayday, Erman;Jiang, Xiaoqian;Vaidya, Jaideep
• 通讯作者: Vaidya, Jaideep

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies

全基因组关联研究结果的隐私保护和有效验证

• DOI: 10.56553/popets-2022-0094
• 发表时间: 2022
• 期刊: Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium
• 作者: Halimi A;Dervishi L;Ayday E;Pyrgelis A;Troncoso-Pastoriza JR;Hubaux JP;Jiang X;Vaidya J
• 通讯作者: Vaidya J

Ensuring trust in genomics research

确保对基因组学研究的信任

• 发表时间: 2023-11
• 期刊: Privacy and Security in Intelligent Systems and Applications (TPS-ISA
• 作者: Ayday, Erman;Vaidya, Jaideep;Jiang, Xiaoqian;Telenti, Amalio
• 通讯作者: Telenti, Amalio

Privacy preserving identification of population stratification for collaborative genomic research

协作基因组研究中群体分层的隐私保护识别

• DOI: 10.1093/bioinformatics/btad274
• 发表时间: 2023-06-30
• 期刊: Bioinformatics
• 影响因子: 5.8
• 作者: Dervishi, Leonard;Li, Wenbiao;Halimi, Anisa;Jiang, Xiaoqian;Vaidya, Jaideep;Ayday, Erman
• 通讯作者: Ayday, Erman