Featured Publications
Multivariate genome-wide analysis of education, socioeconomic status and brain phenome
Wendt FR, Pathak GA, Lencz T, Krystal JH, Gelernter J, Polimanti R. Multivariate genome-wide analysis of education, socioeconomic status and brain phenome. Nature Human Behaviour 2020, 5: 482-496. PMID: 33349686, PMCID: PMC8068566, DOI: 10.1038/s41562-020-00980-y.Peer-Reviewed Original ResearchConceptsPsychosocial factorsSocioeconomic statusPsychiatric disordersBipolar disorderGenetic riskNeuronal cell typesMajor depressionTourette syndromeBrain morphologyDisordersImaging phenotypesCell typesRisky behaviorsPsychopathologyGenetic overlapRiskGenetic discoveriesPsychiatric traitsStatusSyndrome
2022
Exploring the genetic overlap between twelve psychiatric disorders
Romero C, Werme J, Jansen P, Gelernter J, Stein M, Levey D, Polimanti R, de Leeuw C, Posthuma D, Nagel M, van der Sluis S. Exploring the genetic overlap between twelve psychiatric disorders. Nature Genetics 2022, 54: 1795-1802. PMID: 36471075, DOI: 10.1038/s41588-022-01245-2.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsPleiotropic single nucleotide polymorphismsPositive genetic correlationStringent P-value thresholdGenetic architectureGenomic regionsGenetic covarianceBiological processesBiological pathwaysMolecular characterizationObserved phenotypicGenetic correlationsGenetic overlapBiological characterizationBiological mechanismsP-value thresholdOnly annotationGenesPleiotropicPairwise comparisonsPhenotypicPathwayAnnotationPolymorphismCharacterization
2021
Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk
De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Translational Psychiatry 2021, 11: 586. PMID: 34775470, PMCID: PMC8590689, DOI: 10.1038/s41398-021-01713-z.Peer-Reviewed Original ResearchConceptsSubstance useYoung adultsBehavioral traitsPhiladelphia Neurodevelopmental CohortRemoval of participantsAnxiety-related traitsRisk-taking behaviorVerbal reasoningCognitive performancePolygenic risk scoresSocial competenciesNeurobiological processesNeurodevelopmental CohortPsychiatric genetic riskDrinking behaviorParent educationPRS associationsPolygenic riskPsychopathologyGenetic overlapPsychotic symptomsAdverse health outcomesHazardous behaviorEducational attainmentTobacco smokingInvestigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder
Johnson EC, Kapoor M, Hatoum AS, Zhou H, Polimanti R, Wendt FR, Walters RK, Lai D, Kember RL, Hartz S, Meyers JL, Peterson RE, Ripke S, Bigdeli TB, Fanous AH, Pato CN, Pato MT, Goate AM, Kranzler HR, O'Donovan MC, Walters JTR, Gelernter J, Edenberg HJ, Agrawal A. Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychological Medicine 2021, 53: 1196-1204. PMID: 34231451, PMCID: PMC8738774, DOI: 10.1017/s003329172100266x.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide significant single nucleotide polymorphismsLarge-scale genome-wide association studiesSignificant single nucleotide polymorphismsIndependent genome-wide significant single nucleotide polymorphismsSignificant genetic correlationsGenomic regionsSingle nucleotide polymorphismsGene expressionGenetic covariancePleiotropic associationsAssociation studiesGenetic correlationsGenetic variantsNucleotide polymorphismsGenetic overlapDisorder-specific effectsAlcohol use disorderGenetic influencesGenesUse disorders
2020
A large-scale genome-wide association study meta-analysis of cannabis use disorder
Johnson EC, Demontis D, Thorgeirsson TE, Walters RK, Polimanti R, Hatoum AS, Sanchez-Roige S, Paul SE, Wendt FR, Clarke TK, Lai D, Reginsson GW, Zhou H, He J, Baranger DAA, Gudbjartsson DF, Wedow R, Adkins DE, Adkins AE, Alexander J, Bacanu SA, Bigdeli TB, Boden J, Brown SA, Bucholz KK, Bybjerg-Grauholm J, Corley RP, Degenhardt L, Dick DM, Domingue BW, Fox L, Goate AM, Gordon SD, Hack LM, Hancock DB, Hartz SM, Hickie IB, Hougaard DM, Krauter K, Lind PA, McClintick JN, McQueen MB, Meyers JL, Montgomery GW, Mors O, Mortensen PB, Nordentoft M, Pearson JF, Peterson RE, Reynolds MD, Rice JP, Runarsdottir V, Saccone NL, Sherva R, Silberg JL, Tarter RE, Tyrfingsson T, Wall TL, Webb BT, Werge T, Wetherill L, Wright MJ, Zellers S, Adams MJ, Bierut LJ, Boardman JD, Copeland WE, Farrer LA, Foroud TM, Gillespie NA, Grucza RA, Harris KM, Heath AC, Hesselbrock V, Hewitt JK, Hopfer CJ, Horwood J, Iacono WG, Johnson EO, Kendler KS, Kennedy MA, Kranzler HR, Madden PAF, Maes HH, Maher BS, Martin NG, McGue M, McIntosh AM, Medland SE, Nelson EC, Porjesz B, Riley BP, Stallings MC, Vanyukov MM, Vrieze S, Workgroup P, Walters R, Polimanti R, Johnson E, McClintick J, Hatoum A, He J, Wendt F, Zhou H, Adams M, Adkins A, Aliev F, Bacanu S, Batzler A, Bertelsen S, Biernacka J, Bigdeli T, Chen L, Clarke T, Chou Y, Degenhardt F, Docherty A, Edwards A, Fontanillas P, Foo J, Fox L, Frank J, Giegling I, Gordon S, Hack L, Hartmann A, Hartz S, Heilmann-Heimbach S, Herms S, Hodgkinson C, Hoffman P, Hottenga J, Kennedy M, Alanne-Kinnunen M, Konte B, Lahti J, Lahti-Pulkkinen M, Lai D, Ligthart L, Loukola A, Maher B, Mbarek H, McIntosh A, McQueen M, Meyers J, Milaneschi Y, Palviainen T, Pearson J, Peterson R, Ripatti S, Ryu E, Saccone N, Salvatore J, Sanchez-Roige S, Schwandt M, Sherva R, Streit F, Strohmaier J, Thomas N, Wang J, Webb B, Wedow R, Wetherill L, Wills A, Boardman J, Chen D, Choi D, Copeland W, Culverhouse R, Dahmen N, Degenhardt L, Domingue B, Elson S, Frye M, Gäbel W, Hayward C, Ising M, Keyes M, Kiefer F, Kramer J, Kuperman S, Lucae S, Lynskey M, Maier W, Mann K, Männistö S, Müller-Myhsok B, Murray A, Nurnberger J, Palotie A, Preuss U, Räikkönen K, Reynolds M, Ridinger M, Scherbaum N, Schuckit M, Soyka M, Treutlein J, Witt S, Wodarz N, Zill P, Adkins D, Boden J, Boomsma D, Bierut L, Brown S, Bucholz K, Cichon S, Costello E, de Wit H, Diazgranados N, Dick D, Eriksson J, Farrer L, Foroud T, Gillespie N, Goate A, Goldman D, Grucza R, Hancock D, Harris K, Heath A, Hesselbrock V, Hewitt J, Hopfer C, Horwood J, Iacono W, Johnson E, Kaprio J, Karpyak V, Kendler K, Kranzler H, Krauter K, Lichtenstein P, Lind P, McGue M, MacKillop J, Madden P, Maes H, Magnusson P, Martin N, Medland S, Montgomery G, Nelson E, Nöthen M, Palmer A, Pederson N, Penninx B, Porjesz B, Rice J, Rietschel M, Riley B, Rose R, Rujescu D, Shen P, Silberg J, Stallings M, Tarter R, Vanyukov M, Vrieze S, Wall T, Whitfield J, Zhao H, Neale B, Gelernter J, Edenberg H, Agrawal A, Davis L, Bogdan R, Gelernter J, Edenberg H, Stefansson K, Børglum A, Agrawal A. A large-scale genome-wide association study meta-analysis of cannabis use disorder. The Lancet Psychiatry 2020, 7: 1032-1045. PMID: 33096046, PMCID: PMC7674631, DOI: 10.1016/s2215-0366(20)30339-4.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesGenome-wide significant lociLarge-scale genome-wide association studiesGenetic correlationsChromosome 7 locusTraits of interestLarge genome-wide association studiesLinkage disequilibrium score regressionChromosome 8 locusDifferent genetic underpinningsDifferent genetic correlationsWellcome Trust Case Control ConsortiumDisequilibrium score regressionNovel genetic variantsStrong genetic componentSignificant lociGenetic lociGenetic underpinningsGenetic componentLociScore regressionGenetic variantsGenetic overlapIntegrative sequencing
2017
A putative causal relationship between genetically determined female body shape and posttraumatic stress disorder
Polimanti R, Amstadter AB, Stein MB, Almli LM, Baker DG, Bierut LJ, Bradley B, Farrer LA, Johnson EO, King A, Kranzler HR, Maihofer AX, Rice JP, Roberts AL, Saccone NL, Zhao H, Liberzon I, Ressler KJ, Nievergelt CM, Koenen KC, Gelernter J, for The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup. A putative causal relationship between genetically determined female body shape and posttraumatic stress disorder. Genome Medicine 2017, 9: 99. PMID: 29178946, PMCID: PMC5702961, DOI: 10.1186/s13073-017-0491-4.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesLarge genome-wide association studiesPutative causal relationshipAnthropometric traitsBody shapeEvolutionary mechanismsTop associationsAssociation studiesReproductive behaviorGenetic correlationsPleiotropic effectsGenetic overlapFemale body shapePolygenic score approachTraitsMendelian randomization analysisSummary statisticsRandomization analysisHuman sexual behaviorMechanism