Cassie Overstreet
Associate Research Scientist in PsychiatryAbout
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Associate Research Scientist in Psychiatry
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Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Cassie Overstreet's published research.
Joel Gelernter, MD
Daniel F. Levey, PhD
Renato Polimanti, PhD, MSc
Joseph D. Deak, PhD
Hang Zhou, PhD
Marco Galimberti
Publications
2025
Differences and similarities between the genetic architecture of lifetime substance use across different substances
Bright U, Overstreet C, Levey D, Gelernter J. Differences and similarities between the genetic architecture of lifetime substance use across different substances. Psychological Medicine 2025, 55: e219. PMID: 40736093, PMCID: PMC12341034, DOI: 10.1017/s0033291725101293.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsGenome-wide association studiesUse disorderAssociated with various psychiatric disordersSubstance useGenetic architectureLifetime useCannabis use disorderProblematic alcohol useOpioid use disorderLifetime substance useGenetic basisGenetic correlationsPsychiatric disordersPsychiatric traitsIllicit drug useLocal genetic correlationPrescription opioidsLife-threateningAlcohol useOpioidPrescription stimulantsGenetic factorsDrug useDrugSignificant lociA contextual genomic perspective on physical activity and its relationship to health, well being and illness
Galimberti M, Levey D, Deak J, Adhikari K, Overstreet C, Gupta P, Nitin R, Zhou H, Lake N, Harrington K, Djousse L, Davis L, Gaziano J, Stein M, Gelernter J. A contextual genomic perspective on physical activity and its relationship to health, well being and illness. Nature Genetics 2025, 57: 1860-1871. PMID: 40691405, PMCID: PMC12339386, DOI: 10.1038/s41588-025-02260-9.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLeisure-time PAPhysical activityLeisure-timeHealth benefitsIndividuals of European ancestryMendelian randomization analysisMillion Veteran ProgramUK Biobank dataLatin American ancestryHealth outcomesVeteran ProgramRandomization analysisBiobank dataRespiratory system diseasesLead variantsCOVID-19 hospitalizationCross-ancestryEuropean ancestryHealthMeta-analysisGenetic analysisAmerican ancestryAfrican ancestryCross-ancestry meta-analysisMetabolic traitsShared genetic architecture of posttraumatic stress disorder with cardiovascular imaging, risk, and diagnoses
Shen J, Valentim W, Friligkou E, Overstreet C, Choi K, Koller D, O’Donnell C, Stein M, Gelernter J, Lv H, Sun L, Falcone G, Polimanti R, Pathak G. Shared genetic architecture of posttraumatic stress disorder with cardiovascular imaging, risk, and diagnoses. Nature Communications 2025, 16: 5631. PMID: 40595462, PMCID: PMC12217169, DOI: 10.1038/s41467-025-60487-w.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsPost-traumatic stress disorderStress disorderPosttraumatic stress disorderHealth behaviorsLife's Essential 8Electronic health recordsCardiovascular conditionsDisordersBrain genesHealth recordsCalcium-related mechanismGenetic architectureSocioeconomic factorsBrainCardiovascular diagnosisRisk lociEssential 8Cardiovascular riskHealthDepressionImaging traitsRiskObservational analysisTissue-specific mechanismsGenetic regionsThe genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders
Galimberti M, Overstreet C, Gupta P, Beck S, Dao C, Deak J, Zhou H, Johnson E, Agrawal A, Stein M, Levey D, Gelernter J. The genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders. Nature Mental Health 2025, 3: 700-708. DOI: 10.1038/s44220-025-00440-4.Peer-Reviewed Original ResearchCitationsAltmetricConceptsGenomic structural equation modelingCannabis use disorderCannabis usePsychiatric disordersUse disorderStructural equation modelingIncreased rates of psychiatric disordersIncreasing prevalence of cannabis useRates of psychiatric disordersPrevalence of cannabis useThree-factor modelEquation modelingDepressive disorderPsychiatric traitsCannabisLocal genetic correlationDisordersGenetic correlationsMendelian randomization analysisTraitsRandomization analysisSchizophreniaADHDColocalization analysisIncreased riskOptimism moderates the relationship between inflammatory polygenic risk and major depressive disorder in U.S. Military veterans
Fischer I, Overstreet C, Cabrera-Mendoza B, Qiu D, Krystal J, Polimanti R, Gelernter J, Pietrzak R. Optimism moderates the relationship between inflammatory polygenic risk and major depressive disorder in U.S. Military veterans. The World Journal Of Biological Psychiatry 2025, 26: 189-198. PMID: 40343713, DOI: 10.1080/15622975.2025.2498352.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMajor depressive disorderU.S. military veteransPolygenic risk scoresDepressive disorderMilitary veteransMajor depressive disorder riskPsychosocial moderatorsMDD screeningLow optimismPolygenic riskHigher optimismNationally Representative SampleTrauma burdenPredisposition to inflammationStandard deviation increaseUK BiobankGenetic riskPathway-based analysisVeteransIncreased oddsRepresentative sampleRisk scoreMedical conditionsInflammatory biomarkersChronic inflammationEpigenetic and genetic profiling of comorbidity patterns among substance dependence diagnoses
Pathak G, Pietrzak R, Lacobelle A, Overstreet C, Wendt F, Deak J, Friligkou E, Nunez Y, Montalvo-Ortiz J, Levey D, Kranzler H, Gelernter J, Polimanti R. Epigenetic and genetic profiling of comorbidity patterns among substance dependence diagnoses. Molecular Psychiatry 2025, 30: 4435-4443. PMID: 40247127, PMCID: PMC12343199, DOI: 10.1038/s41380-025-03031-y.Peer-Reviewed Original ResearchCitationsAltmetricConceptsSubstance dependence diagnosesLatent class analysisDependence diagnosisLatent classesComorbidity patternsPolygenic scoresPolygenic overlapSD diagnosisPsychosocial traitsEpigenetic mechanismsClass analysisEpigenome-wide significant associationsEpigenome-wide association analysisCo-occurrenceTraitsIndividualsAssociated with CpG sitesAssociationComorbidityTDSD patternSubstancesEpigenome-wide changesIndividuals of European descentSignificant associationPsychometric properties and socio-demographic correlates of the Connor-Davidson Resilience Scale in three large population-based cohorts including Danish and Icelandic adults
Didriksen M, Daníelsdottir H, Bjarnadóttir M, Overstreet C, Choi K, Christoffersen L, Mikkelsen C, Aspelund T, Hauksdóttir A, Thordardottir E, Jakobsdóttir J, Tómasson G, Erikstrup C, Aagaard B, Bruun M, Ullum H, Sørensen E, Fischer I, Pietrzak R, Gelernter J, Campbell-Sills L, Stein M, Werge T, Pedersen O, Valdimarsdóttir U, Ostrowski S, Schork A. Psychometric properties and socio-demographic correlates of the Connor-Davidson Resilience Scale in three large population-based cohorts including Danish and Icelandic adults. Journal Of Mood And Anxiety Disorders 2025, 10: 100112. PMID: 40657597, PMCID: PMC12244040, DOI: 10.1016/j.xjmad.2025.100112.Peer-Reviewed Original ResearchCitationsConceptsMeasures of psychological resilienceCD-RISC-10Connor-Davidson Resilience ScalePsychometric propertiesCD-RISC-10 scoresPsychological resilienceResilience ScalePopulation-based cohortExploratory factor analysisDepressive disorderDepressive symptomsLongitudinal stabilityInternal consistencyUnidimensional measureConstruct validitySocio-demographic correlatesFactor analysisPhysical healthLower scoresHigher scoresResilient cohortsDanish Blood Donor StudyIcelandic adultsDanish individualsBlood Donor Study
2024
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Verma A, Huffman J, Rodriguez A, Conery M, Liu M, Ho Y, Kim Y, Heise D, Guare L, Panickan V, Garcon H, Linares F, Costa L, Goethert I, Tipton R, Honerlaw J, Davies L, Whitbourne S, Cohen J, Posner D, Sangar R, Murray M, Wang X, Dochtermann D, Devineni P, Shi Y, Nandi T, Assimes T, Brunette C, Carroll R, Clifford R, Duvall S, Gelernter J, Hung A, Iyengar S, Joseph J, Kember R, Kranzler H, Kripke C, Levey D, Luoh S, Merritt V, Overstreet C, Deak J, Grant S, Polimanti R, Roussos P, Shakt G, Sun Y, Tsao N, Venkatesh S, Voloudakis G, Justice A, Begoli E, Ramoni R, Tourassi G, Pyarajan S, Tsao P, O'Donnell C, Muralidhar S, Moser J, Casas J, Bick A, Zhou W, Cai T, Voight B, Cho K, Gaziano J, Madduri R, Damrauer S, Liao K. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science 2024, 385: eadj1182. PMID: 39024449, DOI: 10.1126/science.adj1182.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMillion Veteran ProgramNon-European populationsVeteran ProgramGenetic architectureAtlas of genetic associationsVeterans Affairs Million Veteran ProgramVA Million Veteran ProgramGenomic risk lociGenome-wide associationHuman genetic studiesHealth disparitiesUnited States veteransCausal variantsRisk lociGenetic insightsGenetic studiesGenetic associationGenetic causeStates veteransDiverse populationsDisease factorsLack of inclusionLongitudinal studyParticipantsTraitsDistinguishing vulnerability and resilience to posttraumatic stress disorder evaluating traumatic experiences, genetic risk and electronic health records
Løkhammer S, Koller D, Wendt F, Choi K, He J, Friligkou E, Overstreet C, Gelernter J, Hellard S, Polimanti R. Distinguishing vulnerability and resilience to posttraumatic stress disorder evaluating traumatic experiences, genetic risk and electronic health records. Psychiatry Research 2024, 337: 115950. PMID: 38744179, PMCID: PMC11156529, DOI: 10.1016/j.psychres.2024.115950.Peer-Reviewed Original ResearchCitationsAltmetricConceptsElectronic health recordsPosttraumatic stress disorderHealth recordsPTSD vulnerabilityUK Biobank (UKBPhenome-wide association studyRisk scorePhenotype risk scoreUs Research ProgramPolygenic risk scoresStress disorderAoU participantsUKB participantsPresence of posttraumatic stress disorderTrauma burdenGenetic riskPosttraumatic stress disorder symptomsAssociation studiesPheWASClinical comorbiditiesComorbid associationsEye conditionsAOUInverse relationshipMultiple phenotypes
2023
Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals
Zhou H, Kember R, Deak J, Xu H, Toikumo S, Yuan K, Lind P, Farajzadeh L, Wang L, Hatoum A, Johnson J, Lee H, Mallard T, Xu J, Johnston K, Johnson E, Nielsen T, Galimberti M, Dao C, Levey D, Overstreet C, Byrne E, Gillespie N, Gordon S, Hickie I, Whitfield J, Xu K, Zhao H, Huckins L, Davis L, Sanchez-Roige S, Madden P, Heath A, Medland S, Martin N, Ge T, Smoller J, Hougaard D, Børglum A, Demontis D, Krystal J, Gaziano J, Edenberg H, Agrawal A, Justice A, Stein M, Kranzler H, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine 2023, 29: 3184-3192. PMID: 38062264, PMCID: PMC10719093, DOI: 10.1038/s41591-023-02653-5.Peer-Reviewed Original ResearchCitationsAltmetric
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