2020
Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans
Bigdeli TB, Fanous AH, Li Y, Rajeevan N, Sayward F, Genovese G, Gupta R, Radhakrishnan K, Malhotra AK, Sun N, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Cheung KH, Gur RE, Greenwood TA, Braff DL, on the Genetics of Schizophrenia C, Achtyes ED, Buckley PF, Escamilla MA, Lehrer D, Malaspina DP, McCarroll SA, Rapaport MH, Vawter P, Pato MT, Pato CN, Investigators G, Zhao H, Kosten TR, Brophy M, Pyarajan S, Shi Y, O’Leary T, Gleason T, Przygodzki R, Muralidhar S, Gaziano JM, Program M, Huang GD, Concato J, Siever LJ, Aslan M, Harvey PD. Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Schizophrenia Bulletin 2020, 47: 517-529. PMID: 33169155, PMCID: PMC7965063, DOI: 10.1093/schbul/sbaa133.Peer-Reviewed Original ResearchSuicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness
Aslan M, Radhakrishnan K, Rajeevan N, Sueiro M, Goulet JL, Li Y, Depp C, Concato J, Harvey PD. Suicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness. Journal Of Affective Disorders 2020, 267: 144-152. PMID: 32063566, DOI: 10.1016/j.jad.2020.02.022.Peer-Reviewed Original ResearchMeSH KeywordsBipolar DisorderFemaleHumansMaleRisk FactorsSuicidal IdeationSuicide, AttemptedVeteransConceptsSuicidal ideationCause mortalityBipolar disorderFemale veteransSuicide attemptsMore lifetime suicide attemptsMedical-psychiatric comorbidityLower overall mortalitySevere mental illnessPutative risk factorsLifetime suicidal ideationSelf-reported suicidal ideationLifetime suicide attemptsSuicide-specific mortalityClinical characteristicsOverall mortalityCox regressionPsychiatric comorbidityRisk factorsUS veteransCrude rateHigh riskSame diagnosisGeneral populationMale veterans
2019
Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder
Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung K, Li Y, Greenwood TA, Gur RE, Braff DL, on the Genetics of Schizophrenia C, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2019, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAllelesBipolar DisorderCognitionCognition DisordersFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNeuropsychological TestsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSchizophreniaUnited StatesUnited States Department of Veterans AffairsVeterans
2018
Suicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder
Harvey PD, Posner K, Rajeevan N, Yershova KV, Aslan M, Concato J. Suicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder. Journal Of Psychiatric Research 2018, 102: 216-222. PMID: 29698922, DOI: 10.1016/j.jpsychires.2018.04.014.Peer-Reviewed Original ResearchConceptsSevere mental illnessSuicidal ideationPsychiatric comorbidityUS veteransHigh riskVeteran populationGreater clinical focusPopulation of patientsVeterans Affairs studyMultiple psychiatric comorbiditiesStudy of veteransLifetime suicidal ideationHigh suicide riskDemographic factorsBetter risk predictionMajority of veteransClinical factorsFunctional statusLifetime riskRisk factorsMajor depressionMultinomial logistic regressionLower riskSCZ patientsClinical attributes
2016
Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study
Hou L, Sun N, Mane S, Sayward F, Rajeevan N, Cheung K, Cho K, Pyarajan S, Aslan M, Miller P, Harvey PD, Gaziano JM, Concato J, Zhao H. Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study. Genetic Epidemiology 2016, 41: 152-162. PMID: 28019059, PMCID: PMC5604789, DOI: 10.1002/gepi.22027.Peer-Reviewed Original Research