2024
Association 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 ResearchConceptsMillion 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 ResearchConceptsVeterans 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 vaccinesPredicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
Cogill S, Nallamshetty S, Fullenkamp N, Heberer K, Lynch J, Lee K, Aslan M, Shih M, Lee J. Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning. PLOS ONE 2024, 19: e0290221. PMID: 38662748, PMCID: PMC11045098, DOI: 10.1371/journal.pone.0290221.Peer-Reviewed Original ResearchConceptsHigh-risk groupSARS-CoV-2 infectionAnticoagulant useAdverse outcomesPredictor of adverse outcomesHigher risk of adverse outcomesLower body mass indexRisk of adverse outcomesVaccination of high-risk groupsOral anticoagulant useOutcome of SARS-CoV-2 infectionRetrospective longitudinal observational studySARS-CoV-2U.S. Veterans Health AdministrationClinical outcomes of SARS-CoV-2 infectionIdentification of patientsBody mass indexVeterans Health AdministrationPredictors of hospitalizationEscalation of careLongitudinal observational studyClinical outcomesOmicron SARS-CoV-2 variantSARS-CoV-2 variantsUnvaccinated patients
2019
Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohortGenome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci
Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB, Program D, Program M. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biological Psychiatry 2019, 86: 365-376. PMID: 31151762, PMCID: PMC6919570, DOI: 10.1016/j.biopsych.2019.03.984.Peer-Reviewed Original ResearchConceptsAdditional genome-wide significant lociRisk lociWide association study (GWAS) analysisAssociation studiesGenome-wide significant lociGenome-wide association studiesGenetic correlationsWide association studyNovel risk lociAlcohol-related traitsStrong statistical supportSmoking-related traitsAdditional genomesSignificant lociPancreatic delta cellsChromosome 4Chromosome 11Protein productsChromosome 8Quantitative phenotypesMillion Veteran ProgramVeterans Affairs Million Veteran ProgramLociCell typesChromosome 17
2004
Childhood maltreatment as a risk factor for adult cardiovascular disease and depression.
Batten SV, Aslan M, Maciejewski PK, Mazure CM. Childhood maltreatment as a risk factor for adult cardiovascular disease and depression. The Journal Of Clinical Psychiatry 2004, 65: 249-54. PMID: 15003081, DOI: 10.4088/jcp.v65n0217.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseRisk factorsChildhood maltreatmentAdult depressionMultiple logistic regression modelAdult cardiovascular diseasePotent risk factorEffective clinical assessmentNational Comorbidity SurveySignificant increaseU.S. National Comorbidity SurveyLogistic regression modelsSex differencesCardiovascular eventsRepresentative sampleClinical assessmentLifetime depressionDiseaseAdult HealthPhysical outcomesWomenDepressionChildhood abuseMenDemographic factors