Mihaela Aslan, PhD
Research Scientist (General Medicine)Cards
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Research Scientist (General Medicine)
Biography
Mihaela Aslan, Ph.D., is a graduate from the Department of Statistics at Yale University. As a mathematical statistician, she conducts methodological research on a range of topics, such as growth mixture models, competing risks methods in survival analysis, and observational methods to emulate randomized clinical trials. Multi-site observational study design represents another major methodological focus of Dr. Aslan's research. Some of her representative studies have focused on clinical topics such as prostate cancer, PTSD, suicidal ideation and behavior in patients with severe mental illness, Gulf War syndrome, and prediabetes. In her 17-year tenure with the Yale University School of Medicine and the VA Cooperative Studies Program (CSP), and in her current role as the Acting Director of Clinical Epidemiology Research Center (CERC), her goals are centered around advancing scientific knowledge, and helping train the next generation of analysts on applied clinical epidemiology methods, for improving translation and implementation of research results into clinical practice, and to benefit the health and healthcare of Veterans, and by extension, of all human beings.
Appointments
General Internal Medicine
Research ScientistPrimary
Other Departments & Organizations
Research
Research at a Glance
Yale Co-Authors
Publications Timeline
Nallakkandi Rajeevan, PhD
John Concato, MD, FACP, MS, MPH
Hongyu Zhao, PhD
Lei Yan, PhD
Joel Gelernter, MD
Renato Polimanti, PhD, MSc
Publications
2025
Genomics yields biological and phenotypic insights into bipolar disorder
Lee B, Kim J, Lee Y, Kang J, Cheon M, Kim D, Aslan M, Harvey P, Huang G. Genomics yields biological and phenotypic insights into bipolar disorder. Nature 2025, 1-12. PMID: 39843750, DOI: 10.1038/s41586-024-08468-9.Peer-Reviewed Original ResearchConceptsFine-mappingGenetic architectureGenome-wide significant lociMulti-ancestry meta-analysisGenetic architecture of bipolar disorderRare variant signalsSignificant lociGenetic determinantsBipolar disorderVariant signalsLatino ancestryCell typesEast Asian cohortsPhenotypic insightsPathophysiology of bipolar disorderGenesMedium spiny neuronsBipolar disorder subtypesPatient ascertainmentAetiology of bipolar disorderGABAergic interneuronsSpiny neuronsAsian cohortGenomeGlobal burdenRespiratory syncytial virus vaccine effectiveness among US veterans, September, 2023 to March, 2024: a target trial emulation study
Bajema K, Yan L, Li Y, Argraves S, Rajeevan N, Fox A, Vergun R, Berry K, Bui D, Huang Y, Lin H, Hynes D, Lucero-Obusan C, Schirmer P, Cunningham F, Huang G, Aslan M, Ioannou G. Respiratory syncytial virus vaccine effectiveness among US veterans, September, 2023 to March, 2024: a target trial emulation study. The Lancet Infectious Diseases 2025 PMID: 39848264, DOI: 10.1016/s1473-3099(24)00796-5.Peer-Reviewed Original ResearchConceptsRespiratory syncytial virusRespiratory syncytial virus vaccinePositive RSV testVaccine effectivenessRSV testCare encountersSecondary outcomesEmergency departmentRSV-associated hospitalisationsMedian follow-upUS Food and Drug AdministrationHealth-care useVeterans Health AdministrationRespiratory illness seasonMatched index dateElectronic health recordsLower respiratory tract diseaseRSV-related illnessFood and Drug AdministrationDepartment of Veterans Affairs Cooperative Studies ProgramVeterans Affairs Cooperative Studies ProgramCooperative Studies ProgramRSV infectionMedian ageUS Department
2024
Effectiveness of dolutegravir-based regimens compared to raltegravir-, elvitegravir-, bictegravir, and darunavir-based regimens among older adults with HIV in the Veterans Aging Cohort Study (VACS)
Yan L, Henegar C, Marconi V, Gordon K, Hicks C, Vannappagari V, Justice A, Aslan M. Effectiveness of dolutegravir-based regimens compared to raltegravir-, elvitegravir-, bictegravir, and darunavir-based regimens among older adults with HIV in the Veterans Aging Cohort Study (VACS). AIDS Research And Therapy 2024, 21: 96. PMID: 39709467, PMCID: PMC11662819, DOI: 10.1186/s12981-024-00681-w.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsMeSH KeywordsAgedAmidesAnti-HIV AgentsCohort StudiesDarunavirDrug Therapy, CombinationFemaleHeterocyclic Compounds, 3-RingHeterocyclic Compounds, 4 or More RingsHIV InfectionsHIV Integrase InhibitorsHumansMaleMiddle AgedOxazinesPiperazinesPyridazinesPyridonesQuinolonesRaltegravir PotassiumTreatment OutcomeVeteransViral LoadConceptsVeterans Aging Cohort StudyRAL-based regimenAntiretroviral therapyAging Cohort StudyCohort studyOdds of virologic suppressionIntegrase strand transfer inhibitorsDarunavir-based regimensDolutegravir-based regimensDTG-based regimensAntiretroviral therapy experienceHuman immunodeficiency virusDTG-based regimenInverse probability of treatment weightingStrand transfer inhibitorsBackgroundReal-world dataProbability of treatment weightingMethodsThis cohort studyVirologic suppressionVirological failureVirological effectImmunodeficiency virusDarunavir/ritonavirClinical outcomesRegimen initiationAssociation of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program
Steele L, Quaden R, Ahmed S, Harrington K, Duong L, Ko J, Gifford E, Polimanti R, Gaziano J, Aslan M, Helmer D, Hauser E. Association of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program. Environmental Health 2024, 23: 92. PMID: 39456027, PMCID: PMC11520114, DOI: 10.1186/s12940-024-01118-7.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsMillion Veteran ProgramVA Million Veteran ProgramGulf War veteransIll healthHealth outcomesGulf War IllnessVeteran ProgramMilitary characteristicsWar veteransChronic ill healthCenters for Disease Control and Prevention criteriaGulf War serviceEvaluation of genetic factorsGulf War exposureVeterans' healthPopulation of U.S.Pyridostigmine bromide pillsHealthcare providersWartime exposuresGulf War deploymentResultsThe final cohortVeteran cohortDeployment exposuresHealth problemsVeteransDevelopment of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023
Bui D, Bajema K, Huang Y, Yan L, Li Y, Rajeevan N, Berry K, Rowneki M, Argraves S, Hynes D, Huang G, Aslan M, Ioannou G. Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023. PLOS ONE 2024, 19: e0307235. PMID: 39365775, PMCID: PMC11451987, DOI: 10.1371/journal.pone.0307235.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsVeterans Health AdministrationCOVID-19 hospitalizationArea under the receiver operating characteristic curveComprehensive electronic health recordNational cohortElectronic health recordsAll-cause mortalityNational cohort of patientsFull modelHealth recordsHealth AdministrationReceipt of COVID-19 vaccineMortality riskEpidemiology of COVID-19COVID-19High-risk patientsBrier scoreCohort of patientsAnti-SARS-CoV-2 treatmentCOVID-19 vaccineReceiver operating characteristic curveCalibration interceptHospitalAntiviral treatmentAvailability of effective vaccinesT32. GENETIC ARCHITECTURE OF BIPOLAR SPECTRUM DISORDERS IN NEARLY 102,000 LATINO ANCESTRY INDIVIDUALS
Bigdeli T, Voloudakis G, Chatzinakos C, Barr P, Gorman B, Peterson R, Pyarajan S, Huang G, Gaziano M, Pato M, Fanous A, Pato C, Aslan M, Roussos P, Harvey P. T32. GENETIC ARCHITECTURE OF BIPOLAR SPECTRUM DISORDERS IN NEARLY 102,000 LATINO ANCESTRY INDIVIDUALS. European Neuropsychopharmacology 2024, 87: 173-174. DOI: 10.1016/j.euroneuro.2024.08.342.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesPolygenic risk scoresEuropean ancestryMillion Veteran ProgramAdmixed AmericansGenomic Psychiatry CohortGenome-wide association study analysisGenome-wide significant signalsMulti-ancestry meta-analysisLocal ancestry inferenceStatistical fine-mappingBipolar disorderCooperative Studies ProgramGenomic structural equation modelingLatino individualsAncestry inferencePRS-CSxTrans-diagnostic approachBipolar spectrum disordersEast Asian populationsFine-mappingAssociation studiesGWAS statisticsPsychiatric genetic researchAncestry individualsW15. A MULTIVARIATE GENOMIC INVESTIGATION OF THE EXTERNALIZING SPECTRUM AND SUICIDE RISK
Barr P, Bigdeli T, Sanchez-Roige S, Mallard T, Ashley-Koch A, Dick D, Harden P, Hauser B, Qin X, Aslan M, Harvey P, Beckham J, Kimbrel N. W15. A MULTIVARIATE GENOMIC INVESTIGATION OF THE EXTERNALIZING SPECTRUM AND SUICIDE RISK. European Neuropsychopharmacology 2024, 87: 108. DOI: 10.1016/j.euroneuro.2024.08.224.Peer-Reviewed Original ResearchConceptsSuicide attemptsSuicidal ideationPolygenic scoresAssociated with suicide attemptsGenomic structural equation modelingLifetime suicide riskRisk factors associated with suicideExternalizing polygenic scoresLifetime suicide attemptsSubstance use disordersFactors associated with suicideSubstance-use behaviorsExternalizing spectrumExternalizing disordersBipolar disorderPsychiatric diagnosisSuicide riskStructural equation modelingResults Preliminary resultsSuicidal phenotypeGenome-wide association studiesPersonality indicesIdeationSuicideCohort of veteransAssociation of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy
Lipska K, Oladele C, Zawack K, Gulanski B, Mutalik P, Reaven P, Lynch J, Lee K, Shih M, Lee J, Aslan M. Association of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy. Diabetes Technology & Therapeutics 2024, 26: 908-917. PMID: 39177775, DOI: 10.1089/dia.2024.0152.Peer-Reviewed Original ResearchCitationsConceptsVeterans with diabetesAssociation of raceCross-sectional analysis of dataU.S. Veterans Health AdministrationNational sample of veteransNational sampleInsulin therapyVeterans Health AdministrationSystem-level factorsSample of veteransNon-Hispanic patientsSelf-reported raceContinuous glucose monitoringCross-sectional analysisContinuous glucose monitoring useRate of prescriptionMultivariate mixed-effects modelAfrican American patientsLatino patientsHealth AdministrationAlaska NativesType 2 diabetesPercentage of patientsSignificant disparitiesMixed-effects modelsIdentifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation
Yan L, Bui D, Li Y, Rajeevan N, Rowneki M, Berry K, Argraves S, Huang Y, Hynes D, Cunningham F, Huang G, Aslan M, Ioannou G, Bajema K. Identifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation. Clinical Infectious Diseases 2024, 79: 643-651. PMID: 38864601, DOI: 10.1093/cid/ciae202.Peer-Reviewed Original ResearchCitationsAltmetricConceptsRisk quartileVeterans Health AdministrationLowest risk quartileHighest risk quartileTarget trial emulationRisk prediction modelUntreated veteransRisk of deathOlder veteransYounger veteransHealth AdministrationTrial emulationMeasure incidenceNirmatrelvir-ritonavirVeteransHospitalUntreated participantsCOVID-19QuartileRiskSevere coronavirus disease 2019ParticipantsPersonsCoronavirus disease 2019Severe COVID-1932. Comparative Genetic Architectures of Schizophrenia in Admixed African American and European Populations
Bigdeli T, Chatzinakos C, Voloudakis G, Gorman B, Barr P, Genovese G, Burstein D, Braff D, Gaziano J, Muralidhar S, Huang G, Pyarajan S, 572 C, Program M, Aslan M, Harvey P, Roussos P. 32. Comparative Genetic Architectures of Schizophrenia in Admixed African American and European Populations. Biological Psychiatry 2024, 95: s88. DOI: 10.1016/j.biopsych.2024.02.210.Peer-Reviewed Original Research
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