Qingzhou Feng
Postdoctoral Associate in Cell BiologyAbout
Titles
Postdoctoral Associate in Cell Biology
Research
Publications
2024
Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry
Jiang L, Gangireddy S, Dickson A, Xin Y, Yan C, Kawai V, Cox N, Linton M, Wei W, Stein C, Feng Q. Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry. Journal Of Lipid Research 2024, 65: 100569. PMID: 38795861, PMCID: PMC11231545, DOI: 10.1016/j.jlr.2024.100569.Peer-Reviewed Original ResearchAltmetricConceptsIndividuals of AAElectronic health recordsMild-to-moderate HTGGenetic risk factorsAfrican ancestryEuropean ancestryGenetic profileIndividuals of European ancestryRisk factorsNormal TGLongitudinal electronic health recordsSevere hypertriglyceridemiaPolygenic risk scoresCohort of AA patientsPatients of African ancestryAPOA5 p.Metabolic genesFunctional variantsCardiovascular risk factorsHigher triglyceride levelsHealth recordsVariant allelesAncestryRisk scoreAA patientsLarge language models facilitate the generation of electronic health record phenotyping algorithms
Yan C, Ong H, Grabowska M, Krantz M, Su W, Dickson A, Peterson J, Feng Q, Roden D, Stein C, Kerchberger V, Malin B, Wei W. Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal Of The American Medical Informatics Association 2024, ocae072. PMID: 38613820, DOI: 10.1093/jamia/ocae072.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPhenotyping algorithmsLanguage modelElectronic health recordsHigh-quality algorithmsElectronic health record phenotyping algorithmsSQL executionSQL queriesDomain expertsKnowledge discoveryLimited scalabilityData modelCritical metricsAlgorithmic logicAlgorithmCore taskAccurate algorithmHealth recordsSQLElectronic medical recordsExpert evaluation scoresHealth researchEvidence synthesisEHR phenotypesLogicChatGPTIndividualized Dose-Response to Statins Associated With Cardiovascular Disease Outcomes
Aggarwal S, Jiang L, Liu G, Grabowska M, Ong H, Wilke R, Feng Q, Wei W. Individualized Dose-Response to Statins Associated With Cardiovascular Disease Outcomes. JACC Advances 2024, 3: 100894. PMID: 38737008, PMCID: PMC11086740, DOI: 10.1016/j.jacadv.2024.100894.Peer-Reviewed Original ResearchCitationsAltmetricConceptsAtherosclerotic cardiovascular diseaseAtherosclerotic cardiovascular disease eventsLDL-CComposite primary end pointPrevention of atherosclerotic cardiovascular diseaseDose responseLow-density lipoprotein cholesterolBaseline LDL-CPrimary end pointAll-cause mortalityElectronic health record dataTime-to-event analysisHealth record dataCardiovascular disease outcomesIndividual dose responsesMultiple dosesClinical outcomesPrescribed statinsLipoprotein cholesterolHazard ratioStatinsEnd pointsDisease outcomeCardiovascular diseaseED50Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation
Yan C, Grabowska M, Dickson A, Li B, Wen Z, Roden D, Michael Stein C, Embí P, Peterson J, Feng Q, Malin B, Wei W. Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation. Npj Digital Medicine 2024, 7: 46. PMID: 38409350, PMCID: PMC10897392, DOI: 10.1038/s41746-024-01038-3.Peer-Reviewed Original ResearchCitationsAltmetricConceptsGenerative artificial intelligenceDrug repurposing candidatesAlzheimer's diseaseRepurposing candidatesSearch spaceGenerative AIArtificial intelligenceChatGPTAD riskClinical datasetsAssociated with lower AD riskLower AD riskDrug repurposingDrug developmentAlzheimerTreatment of diseasesTechnologyDatasetIntelligenceDeep learning for virtual orthodontic bracket removal: tool establishment and application
Li R, Zhu C, Chu F, Yu Q, Fan D, Ouyang N, Jin Y, Guo W, Xia L, Feng Q, Fang B. Deep learning for virtual orthodontic bracket removal: tool establishment and application. Clinical Oral Investigations 2024, 28: 121. PMID: 38280038, DOI: 10.1007/s00784-023-05440-1.Peer-Reviewed Original ResearchMeSH Keywords and Concepts
2023
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records
Grabowska M, Van Driest S, Robinson J, Patrick A, Guardo C, Gangireddy S, Ong H, Feng Q, Carroll R, Kannankeril P, Wei W. Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. Journal Of The American Medical Informatics Association 2023, 31: 386-395. PMID: 38041473, PMCID: PMC10797257, DOI: 10.1093/jamia/ocad233.Peer-Reviewed Original ResearchCitationsAltmetricConceptsGenome-wide association study of susceptibility to hospitalised respiratory infections
Williams A, Shrine N, Naghra-van Gijzel H, Betts J, Chen J, Hessel E, John C, Packer R, Reeve N, Yeo A, Abner E, Åsvold B, Auvinen J, Bartz T, Bradford Y, Brumpton B, Campbell A, Cho M, Chu S, Crosslin D, Feng Q, Esko T, Gharib S, Hayward C, Hebbring S, Hveem K, Järvelin M, Jarvik G, Landis S, Larson E, Liu J, Loos R, Luo Y, Moscati A, Mullerova H, Namjou B, Porteous D, Quint J, Ritchie M, Sliz E, Stanaway I, Thomas L, Wilson J, Hall I, Wain L, Michalovich D, Tobin M. Genome-wide association study of susceptibility to hospitalised respiratory infections. Wellcome Open Research 2023, 6: 290. DOI: 10.12688/wellcomeopenres.17230.2.Peer-Reviewed Original ResearchConceptsGenome-wide significant signalsExpression quantitative trait lociGenome-wide association studiesStage 1 analysisAssociation studiesRespiratory infection susceptibilityTranscription factor binding activityHomeodomain-containing transcription factorQuantitative trait lociFactor binding activityInverse variance-weighted meta-analysesExpression of PBX3Biological mechanismsGenome-wideUK BiobankCausal genesRespiratory infection casesTrait lociInfection susceptibilityWell-imputedTranscription factor 3Transcription factorsRespiratory infectionsSignificant signalsGenetic determinants
2006
[Evaluations of self-perceived orthodontic treatment need using 2 different scales in adolescents].
Feng Q, Qian Y, Pan X, Chu F, Yang C. [Evaluations of self-perceived orthodontic treatment need using 2 different scales in adolescents]. Kouqiang Yixue 2006, 15: 500-3. PMID: 17348224.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsVisual analogue scale scoreVisual analogue scaleSelf-perceived dental aestheticsDental aestheticsAesthetic componentDental aesthetic appearanceOrthodontic treatmentAC gradesSpearman correlation analysisAnalogue scaleStatistically significant sex differencesSignificant sex differencesAesthetic appearanceScoresSex differencesIOTNOrthodontistsDental