2022
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition
Kuo T, Jiang X, Tang H, Wang X, Harmanci A, Kim M, Post K, Bu D, Bath T, Kim J, Liu W, Chen H, Ohno-Machado L. 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 2022, 29: 2182-2190. PMID: 36164820, PMCID: PMC9667175, DOI: 10.1093/jamia/ocac165.Peer-Reviewed Original ResearchConceptsSensitive personal informationGenomic data analysisPotential future research directionsPersonal informationSecurity concernsGenomics data repositoryData repositoryReport lessonsProtection techniquesFuture research directionsPrivacyResearch directionsData usePractical challengesGenomic dataData analysisAnonymizationCommunity effortsRepositorySecurityBiomedical researchInformationDataChallenges
2016
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp S, Shimizu C, Burns J, Wright V, Png E, Hibberd M, Lloyd D, Yang H, Telenti A, Bloss C, Fox D, Lauter K, Ohno-Machado L. PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2016, 33: 871-878. PMID: 28065902, PMCID: PMC5860394, DOI: 10.1093/bioinformatics/btw758.Peer-Reviewed Original ResearchConceptsSoftware Guard ExtensionsHomomorphic encryptionDistributed ComputationCollaboration frameworkTrustworthy computationCollaboration modelSupplementary dataNetwork collaborationEncryptionExperimental resultsHealth informationAlternative solutionComputationInternational collaboration frameworkHardwareAccurate analysisPerformanceBioinformaticsImplementationFrameworkDataExtensionInformationCollaboration
2013
Genomes in the cloud: balancing privacy rights and the public good.
Ohno-Machado L, Farcas C, Kim J, Wang S, Jiang X. Genomes in the cloud: balancing privacy rights and the public good. AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 128. PMID: 24303320.Peer-Reviewed Original Research
2012
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
Wu Y, Jiang X, Kim J, Ohno-Machado L. Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. Journal Of The American Medical Informatics Association 2012, 19: 758-764. PMID: 22511014, PMCID: PMC3422844, DOI: 10.1136/amiajnl-2012-000862.Peer-Reviewed Original ResearchConceptsIntegrity of communicationCentralized data sourcesTraditional LR modelCentral repositoryComputational costData sourcesData setsSame formatPatient dataComputationGenomic dataRare patternRelevant dataLR modelPrediction valueSetRepositoryPartial elementsFormatClassificationCommunicationModelDataPatient setPerformiDASH: integrating data for analysis, anonymization, and sharing
Ohno-Machado L, Bafna V, Boxwala A, Chapman B, Chapman W, Chaudhuri K, Day M, Farcas C, Heintzman N, Jiang X, Kim H, Kim J, Matheny M, Resnic F, Vinterbo S, team A. iDASH: integrating data for analysis, anonymization, and sharing. Journal Of The American Medical Informatics Association 2012, 19: 196-201. PMID: 22081224, PMCID: PMC3277627, DOI: 10.1136/amiajnl-2011-000538.Commentaries, Editorials and LettersConceptsHigh-performance computing environmentPrivacy-preserving mannerCollaborative tool developmentData-sharing capabilitiesData ownersComputing environmentData consumersBiomedical computingHealth Insurance PortabilityTechnology researchTool developmentAccountability ActBiological projectsBiological dataInsurance PortabilityAnonymizationComputingPortabilityBehavioral researchersAlgorithmSoftwareCloudNew National CenterDataCapability