Featured Publications
Genome-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 randomizationGenesLociBiologyHeritabilityGenome-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
2024
Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction
Braun A, Shekhar S, Levey D, Straub P, Kraft J, Panagiotaropoulou G, Heilbron K, Awasthi S, Meleka Hanna R, Hoffmann S, Stein M, Lehnerer S, Mergenthaler P, Elnahas A, Topaloudi A, Koromina M, Palviainen T, Asbjornsdottir B, Stefansson H, Skuladóttir A, Jónsdóttir I, Stefansson K, Reis K, Esko T, Palotie A, Leypoldt F, Stein M, Fontanillas P, Kaprio J, Gelernter J, Davis L, Paschou P, Tannemaat M, Verschuuren J, Kuhlenbäumer G, Gregersen P, Huijbers M, Stascheit F, Meisel A, Ripke S. Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction. Nature Communications 2024, 15: 9839. PMID: 39537604, PMCID: PMC11560923, DOI: 10.1038/s41467-024-53595-6.Peer-Reviewed Original ResearchConceptsPerformance of polygenic risk scoresGenome-wide significant hitsGenome-wide association studiesGenome-wide meta-analysisControls of European ancestryGenetic architecturePolygenic risk scoresSignificant hitsAssociation studiesPhenotypic variationPolygenic predictionEuropean ancestryAssociated with early-onsetHuman leukocyte antigen allelesLociEarly-onsetReplication studyNeuromuscular junctionMyasthenia gravisAutoantibody-mediated diseasesAntigen allelesAllelesAncestryDisease manifestationsLate-onset MG
2023
Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms?
Kranzler H, Feinn R, Xu H, Ho B, Saini D, Nicastro O, Jacoby A, Toikumo S, Gelernter J, Hartwell E, Kember R. Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms? Addiction 2023, 118: 1675-1686. PMID: 37069489, PMCID: PMC10525011, DOI: 10.1111/add.16210.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismEthanolFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMultifactorial InheritanceRisk FactorsSubstance-Related DisordersConceptsOpioid use disorderSubstance use disordersProgression of symptomsPolygenic risk scoresAlcohol use disorderUse disordersAfrican ancestry individualsGenetic riskRegular useEuropean ancestry individualsEarly onsetMore rapid progressionRegular alcohol useShorter progression timeAge of onsetFirst substance useDiscovery sampleUS inpatientsOnset of problemsOutpatient settingDisease progressionRapid progressionSymptom progressionRisk scoreGenome-wide association studies
2022
Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample
Kember RL, Hartwell EE, Xu H, Rotenberg J, Almasy L, Zhou H, Gelernter J, Kranzler HR. Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample. Biological Psychiatry 2022, 93: 536-545. PMID: 36273948, PMCID: PMC9931661, DOI: 10.1016/j.biopsych.2022.08.010.Peer-Reviewed Original ResearchConceptsSubstance use disordersAlcohol use disorderOpioid use disorderPolygenic risk scoresUse disordersCo-occurring psychiatric disordersComprehensive psychiatric interviewSemi-Structured AssessmentElectronic health recordsControl subjectsLow prevalencePsychiatric interviewRisk scorePsychiatric disordersPhenome-wide association analysisDrug dependenceEuropean individualsHealth recordsLifetime cannabisPhenome-wide association studyDisordersAfrican ancestry individualsDSM diagnosesPopulation sampleGenetic liabilityGenome-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 numberUnique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system function
Love T, Shabalin AA, Kember RL, Docherty AR, Zhou H, Koppelmans V, Gelernter J, Baker AK, Hartwell E, Dubroff J, Zubieta JK, Kranzler HR. Unique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system function. Neuropsychopharmacology 2022, 47: 1784-1790. PMID: 35545664, PMCID: PMC9372136, DOI: 10.1038/s41386-022-01325-1.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidDepressionDepressive Disorder, MajorFemaleHumansMultifactorial InheritanceOpioid PeptidesOpioid-Related DisordersConceptsOpioid use disorderMajor depressive disorderPolygenic risk scoresUse disordersEndogenous opioid system functionOpioid system functionOpioid system activityMDD polygenic risk scoresPolygenic riskAssociation of PRSEndogenous opioid responseOpioid system activationNon-displaceable bindingPathophysiologic linkOpioid responseMOR availabilityOpioid releaseDepressive disorderMajor depressionNeurotransmitter systemsVentral pallidumRisk scoreReceptor concentrationSystem activationRegion of interest
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 geneStyleVeteransMultivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
Karlsson Linnér R, Mallard TT, Barr PB, Sanchez-Roige S, Madole JW, Driver MN, Poore HE, de Vlaming R, Grotzinger AD, Tielbeek JJ, Johnson EC, Liu M, Rosenthal SB, Ideker T, Zhou H, Kember RL, Pasman JA, Verweij KJH, Liu DJ, Vrieze S, Kranzler H, Gelernter J, Harris K, Tucker-Drob E, Waldman I, Palmer A, Harden K, Koellinger P, Dick D. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nature Neuroscience 2021, 24: 1367-1376. PMID: 34446935, PMCID: PMC8484054, DOI: 10.1038/s41593-021-00908-3.Peer-Reviewed Original ResearchMeSH KeywordsAttention Deficit Disorder with HyperactivityBehavior, AddictiveBehavioral SymptomsComputational BiologyCrimeGenetic Association StudiesGenome-Wide Association StudyHIV InfectionsHumansMeta-Analysis as TopicMultifactorial InheritanceMultivariate AnalysisOpioid-Related DisordersReproducibility of ResultsSelf-ControlSuicideUnemploymentPolygenic 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 veteransAssociationPredictorsScreenScoresSeverityRelationshipGenome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
Mullins N, Forstner AJ, O’Connell K, Coombes B, Coleman JRI, Qiao Z, Als TD, Bigdeli TB, Børte S, Bryois J, Charney AW, Drange OK, Gandal MJ, Hagenaars SP, Ikeda M, Kamitaki N, Kim M, Krebs K, Panagiotaropoulou G, Schilder BM, Sloofman LG, Steinberg S, Trubetskoy V, Winsvold BS, Won HH, Abramova L, Adorjan K, Agerbo E, Al Eissa M, Albani D, Alliey-Rodriguez N, Anjorin A, Antilla V, Antoniou A, Awasthi S, Baek JH, Bækvad-Hansen M, Bass N, Bauer M, Beins EC, Bergen SE, Birner A, Bøcker Pedersen C, Bøen E, Boks MP, Bosch R, Brum M, Brumpton BM, Brunkhorst-Kanaan N, Budde M, Bybjerg-Grauholm J, Byerley W, Cairns M, Casas M, Cervantes P, Clarke TK, Cruceanu C, Cuellar-Barboza A, Cunningham J, Curtis D, Czerski PM, Dale AM, Dalkner N, David FS, Degenhardt F, Djurovic S, Dobbyn AL, Douzenis A, Elvsåshagen T, Escott-Price V, Ferrier IN, Fiorentino A, Foroud TM, Forty L, Frank J, Frei O, Freimer NB, Frisén L, Gade K, Garnham J, Gelernter J, Giørtz Pedersen M, Gizer IR, Gordon SD, Gordon-Smith K, Greenwood TA, Grove J, Guzman-Parra J, Ha K, Haraldsson M, Hautzinger M, Heilbronner U, Hellgren D, Herms S, Hoffmann P, Holmans PA, Huckins L, Jamain S, Johnson JS, Kalman JL, Kamatani Y, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koromina M, Kranz TM, Kranzler HR, Kubo M, Kupka R, Kushner SA, Lavebratt C, Lawrence J, Leber M, Lee HJ, Lee PH, Levy SE, Lewis C, Liao C, Lucae S, Lundberg M, MacIntyre DJ, Magnusson SH, Maier W, Maihofer A, Malaspina D, Maratou E, Martinsson L, Mattheisen M, McCarroll SA, McGregor NW, McGuffin P, McKay JD, Medeiros H, Medland SE, Millischer V, Montgomery GW, Moran JL, Morris DW, Mühleisen TW, O’Brien N, O’Donovan C, Olde Loohuis LM, Oruc L, Papiol S, Pardiñas AF, Perry A, Pfennig A, Porichi E, Potash JB, Quested D, Raj T, Rapaport MH, DePaulo JR, Regeer EJ, Rice JP, Rivas F, Rivera M, Roth J, Roussos P, Ruderfer DM, Sánchez-Mora C, Schulte EC, Senner F, Sharp S, Shilling PD, Sigurdsson E, Sirignano L, Slaney C, Smeland OB, Smith DJ, Sobell JL, Søholm Hansen C, Soler Artigas M, Spijker AT, Stein DJ, Strauss JS, Świątkowska B, Terao C, Thorgeirsson TE, Toma C, Tooney P, Tsermpini EE, Vawter MP, Vedder H, Walters JTR, Witt SH, Xi S, Xu W, Yang JMK, Young AH, Young H, Zandi PP, Zhou H, Zillich L, Adolfsson R, Agartz I, Alda M, Alfredsson L, Babadjanova G, Backlund L, Baune B, Bellivier F, Bengesser S, Berrettini W, Blackwood D, Boehnke M, Børglum A, Breen G, Carr V, Catts S, Corvin A, Craddock N, Dannlowski U, Dikeos D, Esko T, Etain B, Ferentinos P, Frye M, Fullerton J, Gawlik M, Gershon E, Goes F, Green M, Grigoroiu-Serbanescu M, Hauser J, Henskens F, Hillert J, Hong K, Hougaard D, Hultman C, Hveem K, Iwata N, Jablensky A, Jones I, Jones L, Kahn R, Kelsoe J, Kirov G, Landén M, Leboyer M, Lewis C, Li Q, Lissowska J, Lochner C, Loughland C, Martin N, Mathews C, Mayoral F, McElroy S, McIntosh A, McMahon F, Melle I, Michie P, Milani L, Mitchell P, Morken G, Mors O, Mortensen P, Mowry B, Müller-Myhsok B, Myers R, Neale B, Nievergelt C, Nordentoft M, Nöthen M, O’Donovan M, Oedegaard K, Olsson T, Owen M, Paciga S, Pantelis C, Pato C, Pato M, Patrinos G, Perlis R, Posthuma D, Ramos-Quiroga J, Reif A, Reininghaus E, Ribasés M, Rietschel M, Ripke S, Rouleau G, Saito T, Schall U, Schalling M, Schofield P, Schulze T, Scott L, Scott R, Serretti A, Shannon Weickert C, Smoller J, Stefansson H, Stefansson K, Stordal E, Streit F, Sullivan P, Turecki G, Vaaler A, Vieta E, Vincent J, Waldman I, Weickert T, Werge T, Wray N, Zwart J, Biernacka J, Nurnberger J, Cichon S, Edenberg H, Stahl E, McQuillin A, Di Florio A, Ophoff R, Andreassen O. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nature Genetics 2021, 53: 817-829. PMID: 34002096, PMCID: PMC8192451, DOI: 10.1038/s41588-021-00857-4.Peer-Reviewed Original ResearchConceptsAssociation studiesQuantitative trait loci dataExpression quantitative trait loci (eQTL) dataGenome-wide association studiesBipolar disorder casesBrain-expressed genesWide association studyHeritable mental illnessSynaptic signaling pathwaysGenomic lociTargets of antipsychoticsLoci dataImperfect genetic correlationGene expressionSignaling pathwaysFunctional followGenesGenetic correlationsDruggable targetsSignal enrichmentEuropean ancestryLociBipolar disorder risk allelesNew insightsTherapeutic leads
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 ResearchLeveraging 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 dependence in male Han Chinese and cross-ethnic polygenic risk score comparison
Sun Y, Chang S, Wang F, Sun H, Ni Z, Yue W, Zhou H, Gelernter J, Malison RT, Kalayasiri R, Wu P, Lu L, Shi J. Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison. Translational Psychiatry 2019, 9: 249. PMID: 31591379, PMCID: PMC6779867, DOI: 10.1038/s41398-019-0586-3.Peer-Reviewed Original ResearchAdultAlcohol DehydrogenaseAlcoholismAldehyde Dehydrogenase, MitochondrialAsian PeopleBlack or African AmericanCase-Control StudiesChinaCross-Cultural ComparisonGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLogistic ModelsMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideWhite PeopleYoung AdultGenome‐wide analyses of psychological resilience in U.S. Army soldiers
Stein MB, Choi KW, Jain S, Campbell‐Sills L, Chen C, Gelernter J, He F, Heeringa SG, Maihofer AX, Nievergelt C, Nock MK, Ripke S, Sun X, Kessler RC, Smoller JW, Ursano RJ. Genome‐wide analyses of psychological resilience in U.S. Army soldiers. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2019, 180: 310-319. PMID: 31081985, PMCID: PMC6551278, DOI: 10.1002/ajmg.b.32730.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide significant lociGenome-wide significant associationGenome-wide analysisCommon variant heritabilityGenome-wide significanceIntergenic regionSecond geneSignificant lociGenetic basisMolecular basisKinase 2Association studiesMember 5Genetic determinantsDoublecortin familyLociBiological basisPolygenic risk scoresNew avenuesGenetic associations with suicide attempt severity and genetic overlap with major depression
Levey DF, Polimanti R, Cheng Z, Zhou H, Nuñez YZ, Jain S, He F, Sun X, Ursano RJ, Kessler RC, Smoller JW, Stein MB, Kranzler HR, Gelernter J. Genetic associations with suicide attempt severity and genetic overlap with major depression. Translational Psychiatry 2019, 9: 22. PMID: 30655502, PMCID: PMC6336846, DOI: 10.1038/s41398-018-0340-2.Peer-Reviewed Original ResearchConceptsGWS associationsGenome-wide significant signalsCircadian clock regulationWide association studyGenetic overlapCatabolism of tyrosineClock regulationFirst GWASSignificant genetic overlapDiscovery GWASChromosome 12Large GWASMolecular mechanismsAssociation studiesChromosome 15Chromosome 18Genetic influencesDiscovery sampleGenetic associationSuicide attempt severityReplication analysisGWASAnaerobic energy productionGenetic risk factorsPolygenic risk scores