Blindenbach Jacob, Kang Jiayi, Hong Seungwan, Karam Caline, Lehner Thomas, Gürsoy Gamze
Department of Computer Science, Columbia University, New York, USA.
Department of Biomedical Informatics, Columbia University, New York, USA.
Genome Biol. 2024 Dec 18;25(1):314. doi: 10.1186/s13059-024-03447-9.
Cloud computing allows storing the ever-growing genotype-phenotype datasets crucial for precision medicine. Due to the sensitive nature of this data and varied laws and regulations, additional security measures are needed to ensure data privacy. We develop SQUiD, a secure queryable database for storing and analyzing genotype-phenotype data. SQUiD allows storage and secure querying of data in a low-security, low-cost public cloud using homomorphic encryption in a multi-client setting. We demonstrate SQUiD's practical usability and scalability using synthetic and UK Biobank data.
云计算能够存储对于精准医疗至关重要且不断增长的基因型-表型数据集。鉴于这些数据的敏感性质以及各种法律法规,需要额外的安全措施来确保数据隐私。我们开发了SQUiD,这是一个用于存储和分析基因型-表型数据的安全可查询数据库。SQUiD允许在多客户端环境中使用同态加密,在低安全性、低成本的公共云中存储和安全查询数据。我们使用合成数据和英国生物银行数据展示了SQUiD的实际可用性和可扩展性。