Result: SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Title:
SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine
Authors:
Blindenbach, Jacob, Kang, Jiayi, Hong, Seungwan, Karam, Caline, Lehner, Thomas, Gürsoy, Gamze
Publication Year:
2024
Collection:
Columbia University: Academic Commons
Subject Terms:
Personalized medicine, Phenotype, Human genetics--Data processing
Document Type:
other/unknown material
Language:
unknown
DOI:
10.7916/qcbp-a746
Availability:
https://doi.org/10.7916/qcbp-a746
Accession Number:
edsbas.2128DD9F
Database:
BASE

Further information

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.