SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine
Abstract 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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-024-03447-9 |
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| _version_ | 1846112532768489472 |
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| author | Jacob Blindenbach Jiayi Kang Seungwan Hong Caline Karam Thomas Lehner Gamze Gürsoy |
| author_facet | Jacob Blindenbach Jiayi Kang Seungwan Hong Caline Karam Thomas Lehner Gamze Gürsoy |
| author_sort | Jacob Blindenbach |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-06247312fc8d4112b27fea129c2f9e8c |
| institution | Kabale University |
| issn | 1474-760X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Genome Biology |
| spelling | doaj-art-06247312fc8d4112b27fea129c2f9e8c2024-12-22T12:28:55ZengBMCGenome Biology1474-760X2024-12-0125112710.1186/s13059-024-03447-9SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicineJacob Blindenbach0Jiayi Kang1Seungwan Hong2Caline Karam3Thomas Lehner4Gamze Gürsoy5Department of Computer Science, Columbia UniversityCOSIC, KU LeuvenDepartment of Biomedical Informatics, Columbia UniversityNew York Genome CenterNew York Genome CenterDepartment of Computer Science, Columbia UniversityAbstract 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.https://doi.org/10.1186/s13059-024-03447-9 |
| spellingShingle | Jacob Blindenbach Jiayi Kang Seungwan Hong Caline Karam Thomas Lehner Gamze Gürsoy SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine Genome Biology |
| title | SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine |
| title_full | SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine |
| title_fullStr | SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine |
| title_full_unstemmed | SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine |
| title_short | SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine |
| title_sort | squid ultra secure storage and analysis of genetic data for the advancement of precision medicine |
| url | https://doi.org/10.1186/s13059-024-03447-9 |
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