ArticleBioinformatics (Oxford, England)2014
SecureMA: protecting participant privacy in genetic association meta-analysis.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS.iScience · 2025Article
- Rare disease genomics and precision medicine.Genomics & informatics · 2024Review
- Learning-Augmented Sketching Offers Improved Performance for Privacy Preserving and Secure GWAS.bioRxiv : the preprint server for biology · 2024Article
- Future-proofing genomic data and consent management: a comprehensive review of technology innovations.GigaScience · 2024Review
- Efficient Federated Kinship Relationship Identification.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Sociotechnical safeguards for genomic data privacy.Nature reviews. Genetics · 2022Review
- Embracing study heterogeneity for finding genetic interactions in large-scale research consortia.Genetic epidemiology · 2020Article
- Artificial Intelligence Transforms the Future of Health Care.The American journal of medicine · 2019Review
- A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side.BMC genomics · 2019Article
- Secure top most significant genome variants search: iDASH 2017 competition.BMC medical genomics · 2018Article
- PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension.BMC medical genomics · 2017Article
- PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.Bioinformatics (Oxford, England) · 2017Article
- SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- A machine learning-based framework to identify type 2 diabetes through electronic health records.International journal of medical informatics · 2017Article
- HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS.Bioinformatics (Oxford, England) · 2016Article
- PREMIX: PRivacy-preserving EstiMation of Individual admiXture.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Article
- Privacy in the Genomic Era.ACM computing surveys · 2015Article
- Privacy-preserving GWAS analysis on federated genomic datasets.BMC medical informatics and decision making · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
motivationSharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access to data.
resultsWe introduce a novel cryptographic strategy to securely perform meta-analysis for genetic association studies in large consortia. Our methodology is useful for supporting joint studies among disparate data sites, where privacy or confidentiality is of concern. We validate our method using three multisite association studies. Our research shows that genetic associations can be analyzed efficiently and accurately across substudy sites, without leaking information on individual participants and site-level association summaries. AVAILABILITY AND IMPLEMENTATION: Our software for secure meta-analysis of genetic association studies, SecureMA, is publicly available at http://github.com/XieConnect/SecureMA. Our customized secure computation framework is also publicly available at http://github.com/XieConnect/CircuitService.
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What OpenQuestion holds
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.