2023
Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
De Lillo A, Wendt F, Pathak G, Polimanti R. Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent. Human Genomics 2023, 17: 67. PMID: 37475089, PMCID: PMC10360343, DOI: 10.1186/s40246-023-00514-3.Peer-Reviewed Original ResearchSex differences in the polygenic architecture of hearing problems in adults
De Angelis F, Zeleznik O, Wendt F, Pathak G, Tylee D, De Lillo A, Koller D, Cabrera-Mendoza B, Clifford R, Maihofer A, Nievergelt C, Curhan G, Curhan S, Polimanti R. Sex differences in the polygenic architecture of hearing problems in adults. Genome Medicine 2023, 15: 36. PMID: 37165447, PMCID: PMC10173489, DOI: 10.1186/s13073-023-01186-3.Peer-Reviewed Original ResearchMeSH KeywordsAdultFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHearingHumansMaleMultifactorial InheritanceSex CharacteristicsConceptsPolygenic architectureRisk lociGenome-wide investigationLarge-scale genetic studiesTranscriptomic regulationGWAS findingsTranscriptomic associationsGene interactionsPotential roleRegulation analysisGenetic studiesInference analysisMillion Veteran ProgramHealth Professionals FollowMolecular pathwaysPolygenic riskPreventive screening programsMultivariate interaction analysisNovel insightsCentral nervous systemEnvironmental risk factorsSex-stratified analysesSex-specific analysesSex differencesMental health outcomes
2022
Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations
Koller D, Wendt F, Pathak G, De Lillo A, De Angelis F, Cabrera-Mendoza B, Tucci S, Polimanti R. Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations. BMC Biology 2022, 20: 249. PMID: 36344982, PMCID: PMC9641937, DOI: 10.1186/s12915-022-01449-2.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAsian PeopleGenome, HumanGenome-Wide Association StudyHumansMultifactorial InheritanceNeanderthalsConceptsArchaic introgressionComplex traitsDenisovan introgressionNeanderthal allelesNeanderthal introgressionSignatures of admixtureAncestry groupsModern populationsPhenome-wide association studyModern human populationsMajor histocompatibility complex regionIntrogressionEvolutionary pressureGenetic poolDisease heritabilityGenomic signaturesEAS populationsExtinct NeanderthalsAssociation studiesMetabolic traitsDenisovansUK BiobankRed hair colorEuropean descentHuman traitsNot Only Gene Discovery: Genome-wide Association Studies and Polygenic Risk Scores as Tools to Dissect the Heterogeneity of Major Depressive Disorder
Polimanti R. Not Only Gene Discovery: Genome-wide Association Studies and Polygenic Risk Scores as Tools to Dissect the Heterogeneity of Major Depressive Disorder. Biological Psychiatry 2022, 92: 177-178. PMID: 35835505, PMCID: PMC9514509, DOI: 10.1016/j.biopsych.2022.05.002.Peer-Reviewed Original ResearchGenome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways
Watanabe K, Jansen PR, Savage JE, Nandakumar P, Wang X, Hinds D, Gelernter J, Levey D, Polimanti R, Stein M, Van Someren E, Smit A, Posthuma D. Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nature Genetics 2022, 54: 1125-1132. PMID: 35835914, DOI: 10.1038/s41588-022-01124-w.Peer-Reviewed Original ResearchMeSH KeywordsBrainGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePolymorphism, Single NucleotideSleep Initiation and Maintenance DisordersConceptsRisk lociGenome-wide association studiesSpecific gene setsPrevious genome-wide association studyGene prioritization strategyExternal biological resourcesExtreme polygenicityExpression specificityAssociated lociSignaling functionsGene setsAssociation studiesNeuronal differentiationFunctional interactionGenesLociBiological resourcesPolygenicityNovel strategyPrioritization strategiesSpecific hypothesesDifferentiationPathwayStatistical powerLarge number
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 ResearchMeSH KeywordsAdultAlcohol DrinkingChildHumansMultifactorial InheritanceRisk FactorsSmokingSubstance-Related DisordersTobacco SmokingYoung AdultConceptsSubstance 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 smokingAncestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example
Hatoum AS, Wendt FR, Galimberti M, Polimanti R, Neale B, Kranzler HR, Gelernter J, Edenberg HJ, Agrawal A. Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug And Alcohol Dependence 2021, 229: 109115. PMID: 34710714, PMCID: PMC9358969, DOI: 10.1016/j.drugalcdep.2021.109115.Peer-Reviewed Original ResearchMeSH KeywordsBlack PeopleHumansMachine LearningMultifactorial InheritanceOpioid-Related DisordersPolymorphism, Single NucleotideConceptsGenome-wide significant variantsCandidate gene predictionGenetic predictionRandom SNPsPolygenic traitRandom phenotypeCandidate SNPsSimulated phenotypesPsychiatric geneticsGenetic machineSignificant variantsBinary phenotypesCandidate variantsSNPsAncestryPhenotypeAllele frequenciesVariantsMachine learning modelsGenetic testsLearning modelAttachment Style Moderates Polygenic Risk for Incident Posttraumatic Stress in U.S. Military Veterans: A 7-Year, Nationally Representative, Prospective Cohort Study
Tamman AJF, Wendt FR, Pathak GA, Krystal JH, Southwick SM, Sippel LM, Gelernter J, Polimanti R, Pietrzak RH. Attachment Style Moderates Polygenic Risk for Incident Posttraumatic Stress in U.S. Military Veterans: A 7-Year, Nationally Representative, Prospective Cohort Study. Biological Psychiatry 2021, 91: 637-646. PMID: 34955171, DOI: 10.1016/j.biopsych.2021.09.025.Peer-Reviewed Original ResearchMeSH KeywordsGenome-Wide Association StudyHumansMilitary PersonnelMultifactorial InheritanceProspective StudiesStress Disorders, Post-TraumaticVeteransConceptsPosttraumatic stress disorderAttachment styleU.S. military veteransIncident posttraumatic stress disorderSocial environmental factorsDevelopment of PTSDMilitary veteransInsecure attachment stylesSecure attachment stylePolygenic riskEffect of PRSLifetime trauma burdenPTSD preventionPosttraumatic stressPTSD developmentPTSD symptomsStress disorderPolygenic risk scoresHigh polygenic riskProspective designNationally RepresentativePotential pharmacotherapyMultivariate geneStyleVeteransPolygenic risk for traumatic loss-related PTSD in US military veterans: Protective effect of secure attachment style
Asch RH, Esterlis I, Wendt FR, Kachadourian L, Southwick SM, Gelernter J, Polimanti R, Pietrzak RH. Polygenic risk for traumatic loss-related PTSD in US military veterans: Protective effect of secure attachment style. The World Journal Of Biological Psychiatry 2021, 22: 792-799. PMID: 33821766, PMCID: PMC8925016, DOI: 10.1080/15622975.2021.1907721.Peer-Reviewed Original ResearchMeSH KeywordsHumansMilitary PersonnelMultifactorial InheritanceStress Disorders, Post-TraumaticVeteransConceptsAttachment styleSecure attachment styleRe-experiencing symptomsPolygenic riskAttachment securityPsychological treatmentTraumatic eventsPositive screenPTSDStyle interactionPolygenic risk scoresUS military veteransMilitary veteransNeuroplasticity processesGenetic liabilityStyleSignificant predictorsVeteransUS veteransAssociationPredictorsScreenScoresSeverityRelationshipCross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank
De Lillo A, D'Antona S, Pathak GA, Wendt FR, De Angelis F, Fuciarelli M, Polimanti R. Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. Human Molecular Genetics 2021, 30: 1457-1467. PMID: 33890984, PMCID: PMC8283210, DOI: 10.1093/hmg/ddab114.Peer-Reviewed Original ResearchConceptsGWS associationsHeterogeneous lociGenome-wide association studiesEuropean populationsAncestry-specific effectsAllele frequenciesWide significant associationsPhenome-wide analysisAncestry groupsComplex traitsLD variationPhenotypic classesAssociation studiesUK BiobankMapping variantsLociConcordant effectsCentral/South AsianAncestryWorldwide populationTraitsAsian ancestryDiscordant effectsSouth Asian ancestryEuropean descent
2020
Characterizing the effect of background selection on the polygenicity of brain-related traits
Wendt FR, Pathak GA, Overstreet C, Tylee DS, Gelernter J, Atkinson EG, Polimanti R. Characterizing the effect of background selection on the polygenicity of brain-related traits. Genomics 2020, 113: 111-119. PMID: 33278486, PMCID: PMC7855394, DOI: 10.1016/j.ygeno.2020.11.032.Peer-Reviewed Original ResearchMeSH KeywordsBrainGenetic BackgroundGenetic HeterogeneityHumansMental DisordersMultifactorial InheritancePhenotypePolymorphism, Single NucleotideSelection, GeneticConceptsGenome-wide association studiesBrain-related traitsGWAS of schizophreniaTrait-associated lociLocus effect sizesSubset of traitsGenotype networksGenetic architectureIntolerant regionsBrain-related phenotypesBackground selectionNatural selectionEvolutionary pressurePositive selectionSNP heritabilityLocal ancestryAssociation studiesTraitsFunctional significanceLociPolygenicityBinary annotationPhenotypeRisk allelesSize varianceAttachment Style Moderates Polygenic Risk for Posttraumatic Stress in United States Military Veterans: Results From the National Health and Resilience in Veterans Study
Tamman AJF, Wendt FR, Pathak GA, Krystal JH, Montalvo-Ortiz JL, Southwick SM, Sippel LM, Gelernter J, Polimanti R, Pietrzak RH. Attachment Style Moderates Polygenic Risk for Posttraumatic Stress in United States Military Veterans: Results From the National Health and Resilience in Veterans Study. Biological Psychiatry 2020, 89: 878-887. PMID: 33276944, DOI: 10.1016/j.biopsych.2020.09.018.Peer-Reviewed Original ResearchGenome-Wide Association StudyHumansMultifactorial InheritanceStress Disorders, Post-TraumaticUnited StatesVeteransWhite PeoplePolygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort
Wendt FR, Carvalho CM, Pathak GA, Gelernter J, Polimanti R. Polygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort. PLOS Genetics 2020, 16: e1009036. PMID: 32941431, PMCID: PMC7523983, DOI: 10.1371/journal.pgen.1009036.Peer-Reviewed Original ResearchGenome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
Zhou H, Sealock JM, Sanchez-Roige S, Clarke TK, Levey DF, Cheng Z, Li B, Polimanti R, Kember RL, Smith RV, Thygesen JH, Morgan MY, Atkinson SR, Thursz MR, Nyegaard M, Mattheisen M, Børglum AD, Johnson EC, Justice AC, Palmer AA, McQuillin A, Davis LK, Edenberg HJ, Agrawal A, Kranzler HR, Gelernter J. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nature Neuroscience 2020, 23: 809-818. PMID: 32451486, PMCID: PMC7485556, DOI: 10.1038/s41593-020-0643-5.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismDatasets as TopicFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMultifactorial InheritanceConceptsRegulatory genomic regionsGenome-wide association studiesNovel risk lociEuropean ancestry individualsPolygenic risk score analysisIndependent risk variantsGenetic architectureGenomic regionsRisk lociAssociation studiesGenetic relationshipsRisk genesGenetic correlationsPsychiatric traitsRisk variantsRisk score analysisTraitsGenetic heritabilityYields insightsBiobank samplesMendelian randomizationGenesLociBiologyHeritabilityLeveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, Bacanu SA, Bierut LJ, Bigdeli TB, Brown S, Bucholz KK, Copeland WE, Costello EJ, Degenhardt L, Farrer LA, Foroud TM, Fox L, Goate AM, Grucza R, Hack LM, Hancock DB, Hartz SM, Heath AC, Hewitt JK, Hopfer CJ, Johnson EO, Kendler KS, Kranzler HR, Krauter K, Lai D, Madden PAF, Martin NG, Maes HH, Nelson EC, Peterson RE, Porjesz B, Riley BP, Saccone N, Stallings M, Wall TL, Webb BT, Wetherill L, Edenberg H, Agrawal A, Gelernter J. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Molecular Psychiatry 2020, 25: 1673-1687. PMID: 32099098, PMCID: PMC7392789, DOI: 10.1038/s41380-020-0677-9.Peer-Reviewed Original Research
2019
Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samples
2018
Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits
Polimanti R, Kayser MH, Gelernter J. Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits. Genome Medicine 2018, 10: 24. PMID: 29580271, PMCID: PMC5870256, DOI: 10.1186/s13073-018-0532-7.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PhysiologicalBehaviorGenome-Wide Association StudyHumansMental DisordersMultifactorial InheritanceQuantitative Trait, HeritableRisk FactorsWhite PeopleConceptsLocal adaptationPathogen diversityEuropean populationsBehavioral traitsGenome-wide investigationGenome-wide dataPolygenic risk score analysisProtozoan diversityWinter minimum temperaturesGenetic diversityEvolutionary mechanismsPositive selectionWidespread signalMolecular mechanismsTop findingsRisk score analysisDiversityTraitsCommon variationBehavioral phenotypesAdaptationGeneticsPopulationPhenotypeMechanismMultivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia
Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisIndependent samplesVisual memoryCognitive endophenotypesPredictive strengthSchizophreniaMemoryIndividual variationPattern analysisSingle predictorCertain domainsDiscovery samplePsychiatric patientsPolygenic risk scoresPredictive powerScoresEndophenotypesPotential relationshipRelationshipRandom forestGenetic risk variantsLimited setPredictorsComprehensive setSamples
2017
Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression
Zhou H, Polimanti R, Yang BZ, Wang Q, Han S, Sherva R, Nuñez YZ, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression. JAMA Psychiatry 2017, 74: 1234-1241. PMID: 29071344, PMCID: PMC6331050, DOI: 10.1001/jamapsychiatry.2017.3275.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBlack or African AmericanComorbidityDepressive Disorder, MajorDiagnostic and Statistical Manual of Mental DisordersFemaleGenetic Predisposition to DiseaseGenetic VariationHumansMaleMiddle AgedMultifactorial InheritanceOrgan SizePutamenSemaphorin-3AUnited StatesWhite PeopleConceptsGenome-wide association studiesGenetic risk variantsNeuropsychiatric traitsAssociation studiesRisk variantsPolygenic risk allelesPolygenic risk scoresGenetic mechanismsGenetic basisAmerican data setMolecular natureTraitsCriterion countsGenetic causePossible genetic causesMD comorbidityRisk allelesComorbid alcohol dependence
2016
Cross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury
Polimanti R, Chen CY, Ursano RJ, Heeringa SG, Jain S, Kessler RC, Nock MK, Smoller JW, Sun X, Gelernter J, Stein MB. Cross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury. Journal Of Neurotrauma 2016, 34: 781-789. PMID: 27439997, PMCID: PMC5314978, DOI: 10.1089/neu.2016.4550.Peer-Reviewed Original Research