Privacy-Preserving Connectivity for Rare-Disease Patients

罕见疾病患者的隐私保护连接

• 批准号: 10834324
• 负责人: Adam Wesley Hansen
• 金额: $ 100万
• 依托单位: GENEIAL LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10834324
• 关键词: Acceleration; Address; Advocacy; Affect; Algorithms; Childhood; Clinical; Clinical Research; Clinical Trials; Collection; Communities; Complement; Computer software; Data; Data Aggregation; Data Collection; Data Set; Databases; Development; Diagnosis; Diagnostic; Disease; Ensure; FAIR principles; FDA approved; Family; Future; Generations; Genes; Genetic; Genetic Diseases; Genomic medicine; Genomics; Growth; Health; Health Insurance Portability and Accountability Act; Healthcare; Healthcare Systems; Incentives; Individual; Industry; Informed Consent; Infrastructure; Internet; Investments; Laboratories; Libraries; Manufacturer; Mendelian disorder; Mission; Ownership; Patient Recruitments; Patients; Performance; Pharmacologic Substance; Phase; Phenotype; Privacy; Privatization; Process; Rare Diseases; Registries; Research; Research Contracts; Research Personnel; Rights; Secure; Security; Structure; Syndrome; System; Technology; Testing; Therapeutic; Time; Translations; community engagement; community setting; cost; cryptography; dashboard; data exchange; data management; data privacy; data registry; data sharing; design; disease registry; encryption; genomic data; health data; individual patient; innovation; migration; open source; phenotypic data; population health; precision genomic medicine; preservation; prevent; privacy preservation; recruit; research and development; search engine; social media; therapeutic development; tool; user-friendly; web app; web platform

Abstract / Summary Safeguarding privacy of data assets – while simultaneously facilitating data sharing and exchange – is paramount to sustaining the value creation of genomics for precision medicine and population health. One of the most significant challenges for Xia-Gibbs Syndrome (XGS) research and rare disease studies in general is the lack of integrated, privacy-preserving platforms to facilitate efficient patient recruitment and data sharing. Rare disease datasets are fragmented, incomplete, and sparse. These barriers to data accessibility prevent efficient data aggregation, translation to clinical benefits, and disease promotion to the global patient and scientific communities. Without data sharing mechanisms that align incentives while preserving security and privacy, fragmented and siloed data will severely limit the value of genomic medicine in the future. We aim to address these issues by designing and developing components enabling a computationally feasible privacy-preserving rare disease community engagement platform, emphasizing FAIR (findable, accessible, interoperable, reusable) data principles. Specifically, we will deploy innovative cryptography technologies in the context of a web application streamlining interaction, data exchange, and analysis between patients, advocacy groups, researchers, and therapeutic developers. Building on our current secure, HIPAA-compliant infrastructure, in Phase I of this fast-track proposal we will onboard our existing XGS Registry to establish proof-of-concept while ensuring the platform is readily generalizable to other rare diseases. In Phase II, as we onboard two additional rare disease communities, we will implement software optimizations and GPU-acceleration to ensure the platform can scale to a data privacy- and ownership-preserving engagement platform and registry applicable to all rare disease communities and datasets. Ultimately, the approaches developed here will allow researchers and therapeutic developers expanded ability to search for and retrieve essential patient data for rare disease research. We anticipate the creation of such a tool will accelerate the growth of rare disease registries worldwide, creating positive externalities benefitting the entire industry by enabling widespread access to previously inaccessible data.

摘要/概要 保护数据资产的隐私-同时促进数据共享和 交换-对于维持基因组学的价值创造至关重要， 医药和人口健康。夏-吉布斯面临的最大挑战之一 证候（XGS）研究与罕见病研究总体上缺乏综合性， 隐私保护平台，以促进有效的患者招募和数据共享。 罕见疾病数据集是零散的、不完整的和稀疏的。这些数据壁垒 可访问性阻碍了有效的数据汇总、转化为临床效益和疾病 向全球患者和科学界推广。没有数据共享 在保持安全和隐私的同时调整激励机制， 孤立的数据将严重限制未来基因组医学的价值。 我们的目标是通过设计和开发组件来解决这些问题， 计算上可行的隐私保护罕见疾病社区参与平台， FAIR（Findable，Accessible，Interoperable，Reusable）数据原则。 具体来说，我们将在网络环境中部署创新的密码技术。 应用程序简化了患者之间的交互、数据交换和分析， 倡导团体、研究人员和治疗开发人员。在我们现有的安全， 符合HIPAA标准的基础设施，在此快速通道提案的第一阶段，我们将 现有的XGS注册表，以建立概念验证，同时确保平台易于 可推广到其他罕见疾病。在第二阶段，当我们加入两种额外的罕见疾病时， 社区，我们将实施软件优化和GPU加速，以确保 平台可以扩展为数据隐私和所有权保护参与平台， 适用于所有罕见疾病社区和数据集的登记研究。 最终，这里开发的方法将允许研究人员和治疗人员 开发人员扩大了搜索和检索罕见疾病基本患者数据的能力 research.我们预计这种工具的创建将加速罕见疾病的增长 全球注册中心，创造正外部性，使整个行业受益， 使得能够广泛访问以前无法访问的数据。