Cassie Overstreet
Postdoctoral Associate in PsychiatryAbout
Titles
Postdoctoral Associate in Psychiatry
Departments & Organizations
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Cassie Overstreet's published research.
Joel Gelernter, MD
Daniel F. Levey, PhD
Joseph D. Deak, PhD
Renato Polimanti, PhD, MSc
Hang Zhou, PhD
John Krystal, MD
Publications
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 ResearchAltmetricConceptsElectronic 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 ResearchCitationsAltmetricA co-phenome analysis into genetic resilience and vulnerability of posttraumatic stress disorder
Løkhammer S, Koller D, Wendt F, Friligkou E, Overstreet C, Gelernter J, Le Hellard S, Polimanti R. A co-phenome analysis into genetic resilience and vulnerability of posttraumatic stress disorder. Neuroscience Applied 2023, 2: 103871. DOI: 10.1016/j.nsa.2023.103871.Peer-Reviewed Original Research