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
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
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