ArticleBMC medical genomics2017
PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension.
Article in BMC medical genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS.iScience · 2025Article
- Genomic privacy and security in the era of artificial intelligence and quantum computing.Discover computing · 2025Review
- Learning-Augmented Sketching Offers Improved Performance for Privacy Preserving and Secure GWAS.bioRxiv : the preprint server for biology · 2024Article
- Genomic privacy preservation in genome-wide association studies: taxonomy, limitations, challenges, and vision.Briefings in bioinformatics · 2024Review
- The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Privacy-preserving genotype imputation in a trusted execution environment.Cell systems · 2021Article
- HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework.Proceedings. IEEE International Conference on Cloud Computing · 2021Article
- A secure system for genomics clinical decision support.Journal of biomedical informatics · 2020Article
- Privacy-preserving construction of generalized linear mixed model for biomedical computation.Bioinformatics (Oxford, England) · 2020Article
- Evaluation of Privacy Risks of Patients' Data in China: Case Study.JMIR medical informatics · 2020Article
- Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine.BMC medical informatics and decision making · 2019Article
- Privacy-Preserving Methods for Feature Engineering Using Blockchain: Review, Evaluation, and Proof of Concept.Journal of medical Internet research · 2019Review
- Ethical issues in HIV phylogenetics and molecular epidemiology.Current opinion in HIV and AIDS · 2019Review
- Blockchain-based platforms for genomic data sharing: a de-centralized approach in response to the governance problems?Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Secure top most significant genome variants search: iDASH 2017 competition.BMC medical genomics · 2018Article
- Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges.International journal of biological sciences · 2018Review
- A community effort to protect genomic data sharing, collaboration and outsourcing.NPJ genomic medicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundAdvances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research. However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sensitive genomic data.
methodsWe present one of the first implementations of Software Guard Extension (SGX) based securely outsourced genetic testing framework, which leverages multiple cryptographic protocols and minimal perfect hash scheme to enable efficient and secure data storage and computation outsourcing.
resultsWe compared the performance of the proposed PRESAGE framework with the state-of-the-art homomorphic encryption scheme, as well as the plaintext implementation. The experimental results demonstrated significant performance over the homomorphic encryption methods and a small computational overhead in comparison to plaintext implementation.
conclusionsThe proposed PRESAGE provides an alternative solution for secure and efficient genomic data outsourcing in an untrusted cloud by using a hybrid framework that combines secure hardware and multiple crypto protocols.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.