2024
Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach
Cabrera-Mendoza B, Aydin N, Fries G, Docherty A, Walss-Bass C, Polimanti R. Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach. Neuropsychopharmacology 2024, 49: 1383-1391. PMID: 38396255, PMCID: PMC11250798, DOI: 10.1038/s41386-024-01833-2.Peer-Reviewed Original ResearchAssociated with higher oddsPsychiatric Genomics ConsortiumSubstance use disordersSocioeconomic factorsMendelian randomizationBipolar disorderGenetic liabilitySuicide attemptsHigher oddsTwo-sample Mendelian randomizationGenetic liability to bipolar disorderEffects of mental distressUK Biobank (UKBLiability to bipolar disorderMultivariable MR approachMendelian randomization approachComprehensive mental health assessmentGenome-wide association dataRisk of psychiatric disordersMental health assessmentBehavioral traitsAssociated with lonelinessHigh-risk individualsMental distressContext of SA
2022
Integrating human brain proteomes with genome-wide association data implicates novel proteins in post-traumatic stress disorder
Wingo TS, Gerasimov ES, Liu Y, Duong DM, Vattathil SM, Lori A, Gockley J, Breen MS, Maihofer AX, Nievergelt CM, Koenen KC, Levey DF, Gelernter J, Stein MB, Ressler KJ, Bennett DA, Levey AI, Seyfried NT, Wingo AP. Integrating human brain proteomes with genome-wide association data implicates novel proteins in post-traumatic stress disorder. Molecular Psychiatry 2022, 27: 3075-3084. PMID: 35449297, PMCID: PMC9233006, DOI: 10.1038/s41380-022-01544-4.Peer-Reviewed Original ResearchConceptsProteome-wide association studyTranscriptome-wide association studyGenome-wide association studiesBrain protein abundanceHuman brain proteomeBrain proteomeAssociation studiesProtein abundanceGenome-wide association dataHuman brain transcriptomePost-traumatic stress disorderGWAS resultsNovel proteinBrain transcriptomeRisk lociProteomeGenesAssociation dataPrecursor cellsPTSD pathogenesisBrain mRNA levelsMRNA levelsOligodendrocyte precursor cellsPromising targetNew insights
2021
Hippocampal transcriptome-wide association study and neurobiological pathway analysis for Alzheimer’s disease
Liu N, Xu J, Liu H, Zhang S, Li M, Zhou Y, Qin W, Li M, Yu C. Hippocampal transcriptome-wide association study and neurobiological pathway analysis for Alzheimer’s disease. PLOS Genetics 2021, 17: e1009363. PMID: 33630843, PMCID: PMC7906391, DOI: 10.1371/journal.pgen.1009363.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association studyGenome-wide association studiesAssociation studiesAD-GWASHippocampal gene expressionGene expressionAlzheimer's diseaseMeta-analyses of GWASIdentified multiple susceptibility lociGenes associated with ADGenome-wide association dataMultiple susceptibility lociAD-related genesAmyloid beta formationHippocampal expressionSusceptibility lociAmyloid-betaNeurobiological pathwaysTranscriptome dataHippocampal volumePathway analysisGenesAssociation dataMeta-analysisCognitively normal elderly individuals
2020
Genetically Determined Omega-3 Polyunsaturated Fatty Acids and Lung Function: A Mendelian Randomization Analysis
Patchen B, Xu J, Hancock D, Cassano P. Genetically Determined Omega-3 Polyunsaturated Fatty Acids and Lung Function: A Mendelian Randomization Analysis. Current Developments In Nutrition 2020, 4: nzaa061_101. PMCID: PMC7259102, DOI: 10.1093/cdn/nzaa061_101.Peer-Reviewed Original ResearchAssociated with FEV1Multivariable MRMendelian randomizationForced Vital CapacityHeart and Aging ResearchInverse variance weighted methodHealth training programsMendelian randomization analysisVariance weighted methodGenome-wide association dataImprove causal inferenceCross-sectional studyLung functionNational InstituteWald ratioDigestive and Kidney DiseasesSample MRUnivariable MREpidemiology ConsortiumUK BiobankResidual confoundingNational Institute of DiabetesRandomization analysisTraining programForced expiratory volume
2017
Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior
Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen MR, Jansen P, Taylor M, Tong X, Lu Q, Burt AS, Tiemeier H, Viding E, Plomin R, Martin NG, Heath AC, Madden PAF, Montgomery G, Beaver KM, Waldman I, Gelernter J, Kranzler HR, Farrer LA, Perry JRB, Munafò M, LoParo D, Paunio T, Tiihonen J, Mous SE, Pappa I, de Leeuw C, Watanabe K, Hammerschlag AR, Salvatore JE, Aliev F, Bigdeli TB, Dick D, Faraone SV, Popma A, Medland SE, Posthuma D. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA Psychiatry 2017, 74: 1242-1250. PMID: 28979981, PMCID: PMC6309228, DOI: 10.1001/jamapsychiatry.2017.3069.Peer-Reviewed Original ResearchConceptsNovel genetic risk variantsSingle nucleotide polymorphism-based heritabilityGenome-wide association studiesGenome-wide association dataCausal genetic variantsGenome-wide genotypesPolygenic risk score analysisGenetic architectureGenetic risk variantsInverse genetic correlationPromising lociAssociation studiesBiological pathwaysPleiotropic associationsQuantitative phenotypesGenetic correlationsPsychiatric traitsAssociation dataGenetic effectsRisk variantsRisk score analysisGenetic variantsGenetic originDiscovery sampleTraits
2016
Meta-Analyses of Genome-Wide Association Data Hold New Promise for Addiction Genetics.
Agrawal A, Edenberg HJ, Gelernter J. Meta-Analyses of Genome-Wide Association Data Hold New Promise for Addiction Genetics. Journal Of Studies On Alcohol And Drugs 2016, 77: 676-80. PMID: 27588522, PMCID: PMC5015465, DOI: 10.15288/jsad.2016.77.676.Peer-Reviewed Original ResearchGenome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium
Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Lubke GH, Madden PA, Mägi R, McGue MK, Medland SE, Meeus WH, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational Psychiatry 2016, 6: e769-e769. PMID: 27023175, PMCID: PMC4872459, DOI: 10.1038/tp.2016.36.Peer-Reviewed Original ResearchConceptsLifetime cannabis useCannabis useInternational Cannabis ConsortiumLifetime cannabisIndividual differencesAutism disorderOccasional cannabisCannabis initiationSubstance useEffect sizeSocial consequencesCannabisLifetime cigarette smokingCigarette useReplication sampleGene-based testsCigarette smokingPsychoactive substancesIllicit psychoactive substancesSNP effect sizesFrequent useGenome-wide association studiesGenetic correlationsGenome-wide association dataAbuse
2013
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
Lee S, Ripke S, Neale B, Faraone S, Purcell S, Perlis R, Mowry B, Thapar A, Goddard M, Witte J, Absher D, Agartz I, Akil H, Amin F, Andreassen O, Anjorin A, Anney R, Anttila V, Arking D, Asherson P, Azevedo M, Backlund L, Badner J, Bailey A, Banaschewski T, Barchas J, Barnes M, Barrett T, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen S, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder E, Black D, Blackwood D, Bloss C, Boehnke M, Boomsma D, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola N, Buitelaar J, Bunney W, Buxbaum J, Byerley W, Byrne E, Caesar S, Cahn W, Cantor R, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger C, Collier D, Cook E, Coon H, Cormand B, Corvin A, Coryell W, Craig D, Craig I, Crosbie J, Cuccaro M, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus E, Degenhardt F, Djurovic S, Donohoe G, Doyle A, Duan J, Dudbridge F, Duketis E, Ebstein R, Edenberg H, Elia J, Ennis S, Etain B, Fanous A, Farmer A, Ferrier I, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer N, Freitag C, Friedl M, Frisén L, Gallagher L, Gejman P, Georgieva L, Gershon E, Geschwind D, Giegling I, Gill M, Gordon S, Gordon-Smith K, Green E, Greenwood T, Grice D, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines J, Hakonarson H, Hallmayer J, Hamilton S, Hamshere M, Hansen T, Hartmann A, Hautzinger M, Heath A, Henders A, Herms S, Hickie I, Hipolito M, Hoefels S, Holmans P, Holsboer F, Hoogendijk W, Hottenga J, Hultman C, Hus V, Ingason A, Ising M, Jamain S, Jones E, Jones I, Jones L, Tzeng J, Kähler A, Kahn R, Kandaswamy R, Keller M, Kennedy J, Kenny E, Kent L, Kim Y, Kirov G, Klauck S, Klei L, Knowles J, Kohli M, Koller D, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson W, Leboyer M, Ledbetter D, Lee P, Lencz T, Lesch K, Levinson D, Lewis C, Li J, Lichtenstein P, Lieberman J, Lin D, Linszen D, Liu C, Lohoff F, Loo S, Lord C, Lowe J, Lucae S, MacIntyre D, Madden P, Maestrini E, Magnusson P, Mahon P, Maier W, Malhotra A, Mane S, Martin C, Martin N, Mattheisen M, Matthews K, Mattingsdal M, McCarroll S, McGhee K, McGough J, McGrath P, McGuffin P, McInnis M, McIntosh A, McKinney R, McLean A, McMahon F, McMahon W, McQuillin A, Medeiros H, Medland S, Meier S, Melle I, Meng F, Meyer J, Middeldorp C, Middleton L, Milanova V, Miranda A, Monaco A, Montgomery G, Moran J, Moreno-De-Luca D, Morken G, Morris D, Morrow E, Moskvina V, Muglia P, Mühleisen T, Muir W, Müller-Myhsok B, Murtha M, Myers R, Myin-Germeys I, Neale M, Nelson S, Nievergelt C, Nikolov I, Nimgaonkar V, Nolen W, Nöthen M, Nurnberger J, Nwulia E, Nyholt D, O'Dushlaine C, Oades R, Olincy A, Oliveira G, Olsen L, Ophoff R, Osby U, Owen M, Palotie A, Parr J, Paterson A, Pato C, Pato M, Penninx B, Pergadia M, Pericak-Vance M, Pickard B, Pimm J, Piven J, Posthuma D, Potash J, Poustka F, Propping P, Puri V, Quested D, Quinn E, Ramos-Quiroga J, Rasmussen H, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice J, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders A, Sanders S, Santangelo S, Sergeant J, Schachar R, Schalling M, Schatzberg A, Scheftner W, Schellenberg G, Scherer S, Schork N, Schulze T, Schumacher J, Schwarz M, Scolnick E, Scott L, Shi J, Shilling P, Shyn S, Silverman J, Slager S, Smalley S, Smit J, Smith E, Sonuga-Barke E, St. Clair D, State M, Steffens M, Steinhausen H, Strauss J, Strohmaier J, Stroup T, Sutcliffe J, Szatmari P, Szelinger S, Thirumalai S, Thompson R, Todorov A, Tozzi F, Treutlein J, Uhr M, van den Oord E, Van Grootheest G, Van Os J, Vicente A, Vieland V, Vincent J, Visscher P, Walsh C, Wassink T, Watson S, Weissman M, Werge T, Wienker T, Wijsman E, Willemsen G, Williams N, Willsey A, Witt S, Xu W, Young A, Yu T, Zammit S, Zandi P, Zhang P, Zitman F, Zöllner S, Devlin B, Kelsoe J, Sklar P, Daly M, O'Donovan M, Craddock N, Sullivan P, Smoller J, Kendler K, Wray N. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics 2013, 45: 984-994. PMID: 23933821, PMCID: PMC3800159, DOI: 10.1038/ng.2711.Peer-Reviewed Original ResearchMeSH KeywordsAdultAttention Deficit Disorder with HyperactivityBipolar DisorderChildChild Development Disorders, PervasiveCrohn DiseaseDepressive Disorder, MajorGenetic HeterogeneityGenetic Predisposition to DiseaseGenome-Wide Association StudyGenome, HumanHumansInheritance PatternsMental DisordersPolymorphism, Single NucleotideSchizophrenia
2012
Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes
Webb BT, Guo AY, Maher BS, Zhao Z, van den Oord EJ, Kendler KS, Riley BP, Gillespie NA, Prescott CA, Middeldorp CM, Willemsen G, de Geus EJ, Hottenga JJ, Boomsma DI, Slagboom EP, Wray NR, Montgomery GW, Martin NG, Wright MJ, Heath AC, Madden PA, Gelernter J, Knowles JA, Hamilton SP, Weissman MM, Fyer AJ, Huezo-Diaz P, McGuffin P, Farmer A, Craig IW, Lewis C, Sham P, Crowe RR, Flint J, Hettema JM. Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes. European Journal Of Human Genetics 2012, 20: 1078-1084. PMID: 22473089, PMCID: PMC3449070, DOI: 10.1038/ejhg.2012.47.Peer-Reviewed Original ResearchConceptsGenome-wide linkage scanGenome-wide linkage dataGenome-wide association dataGenome-wide significanceAnxiety-related phenotypesGenomic regionsLinkage scanCM intervalChromosome 1Studies of neuroticismFalse discovery rate analysisChromosome 9Association dataLinkage dataPhenotypeMeta-analysis approachConsistent signalFDR thresholdGenetic factorsGenetic susceptibilitySuch hypothesesGenomeValuable approachGenesTraits
2011
Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
Wang JH, Pappas D, De Jager PL, Pelletier D, de Bakker PI, Kappos L, Polman CH, Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Chibnik LB, Hafler DA, Matthews PM, Hauser SL, Baranzini SE, Oksenberg JR. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data. Genome Medicine 2011, 3: 3. PMID: 21244703, PMCID: PMC3092088, DOI: 10.1186/gm217.Peer-Reviewed Original ResearchGenome-wide association studiesGenome-wide association dataDAVID functional annotation toolMS geneticsAssociation dataFunctional annotation toolAvailable genome-wide association dataRecent genome-wide association studiesPathway enrichment analysisNovel genetic associationsNervous system developmentPolygenic modelCumulative genetic riskGene OntologyGWAS datasetsEnrichment analysisGenetic riskAssociation studiesDisease locusCell adhesionSignificant enrichmentNeuronal signalingAnalysis of covarianceIonotropic glutamate receptorsGenetic association
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