2023
479. Performance Differences in Electronic Health Record Algorithm for Bipolar Disorder by Race and Ethnicity: An Assessment From the Psychemerge Diversity Initiative
Peterson R, Kember R, Ge T, Huckins L, Voloudakis G, Birnbaum R, Hu Y, Lee H, Rocha D, Tomasi S, Roussos P, Chabris C, Davis L, Smoller J. 479. Performance Differences in Electronic Health Record Algorithm for Bipolar Disorder by Race and Ethnicity: An Assessment From the Psychemerge Diversity Initiative. Biological Psychiatry 2023, 93: s288. DOI: 10.1016/j.biopsych.2023.02.719.Peer-Reviewed Original Research
2021
Induction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk
Powell SK, O’Shea C, Townsley K, Prytkova I, Dobrindt K, Elahi R, Iskhakova M, Lambert T, Valada A, Liao W, Ho SM, Slesinger PA, Huckins LM, Akbarian S, Brennand KJ. Induction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk. Molecular Psychiatry 2021, 28: 1970-1982. PMID: 34493831, PMCID: PMC8898985, DOI: 10.1038/s41380-021-01273-0.Peer-Reviewed Original ResearchConceptsInduced dopaminergic neuronsDopaminergic neuronsMidbrain dopaminergic neuron developmentNeuron identityHuman induced pluripotent stem cellsCannabis use disorderDopaminergic neuron developmentAction potential durationGlutamatergic neuronsDopamine synthesisSpontaneous burstsPotential durationUse disordersNeuronal subtypesPsychiatric diseasesBipolar disorderElectrophysiological propertiesDisease riskHyperpolarization potentialPsychiatric disease riskNeuron developmentOscillatory activityNeuronsHeterogenous cell populationsCell populations
2019
Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes
Drange O, Smeland O, Shadrin A, Finseth P, Witoelar A, Frei O, Group P, Wang Y, Hassani S, Djurovic S, Dale A, Andreassen O, Stahl E, Breen G, Forstner A, McQuillin A, Ripke S, Trubetskoy V, Mattheisen M, Wang Y, Coleman J, Gaspar H, de Leeuw C, Steinberg S, Pavlides J, Trzaskowski M, Pers T, Holmans P, Abbott L, Agerbo E, Akil H, Albani D, Alliey-Rodriguez N, Als T, Anjorin A, Antilla V, Awasthi S, Badner J, Bækvad-Hansen M, Barchas J, Bass N, Bauer M, Belliveau R, Bergen S, Pedersen C, Bøen E, Boks M, Boocock J, Budde M, Bunney W, Burmeister M, Bybjerg-Grauholm J, Byerley W, Casas M, Cerrato F, Cervantes P, Chambert K, Charney A, Chen D, Churchhouse C, Clarke T, Coryell W, Craig D, Cruceanu C, Curtis D, Czerski P, Dale A, de Jong S, Degenhardt F, Del-Favero J, DePaulo J, Djurovic S, Dobbyn A, Dumont A, Elvsåshagen T, Escott-Price V, Fan C, Fischer S, Flickinger M, Foroud T, Forty L, Frank J, Fraser C, Freimer N, Friseìn L, Gade K, Gage D, Garnham J, Giambartolomei C, Pedersen M, Goldstein J, Gordon S, Gordon-Smith K, Green E, Green M, Greenwood T, Grove J, Guan W, Parra J, Hamshere M, Hautzinger M, Heilbronner U, Herms S, Hipolito M, Hoffmann P, Holland D, Huckins L, Jamain S, Johnson J, Jureìus A, Kandaswamy R, Karlsson R, Kennedy J, Kittel-Schneider S, Knott S, Knowles J, Kogevinas M, Koller A, Kupka R, Lavebratt C, Lawrence J, Lawson W, Leber M, Lee P, Levy S, Li J, Liu C, Lucae S, Maaser A, MacIntyre D, Mahon P, Maier W, Martinsson L, McCarroll S, McGuffin P, McInnis M, McKay J, Medeiros H, Medland S, Meng F, Milani L, Montgomery G, Morris D, Mühleisen T, Mullins N, Nguyen H, Nievergelt C, Adolfsson A, Nwulia E, O’Donovan C, Loohuis L, Ori A, Oruc L, Ösby U, Perlis R, Perry A, Pfennig A, Potash J, Purcell S, Regeer E, Reif A, Reinbold C, Rice J, Rivas F, Rivera M, Roussos P, Ruderfer D, Ryu E, Saìnchez-Mora C, Schatzberg A, Scheftner W, Schork N, Weickert C, Shehktman T, Shilling P, Sigurdsson E, Slaney C, Smeland O, Sobell J, Hansen C, Spijker A, St Clair D, Steffens M, Strauss J, Streit F, Strohmaier J, Szelinger S, Thompson R, Thorgeirsson T, Treutlein J, Vedder H, Wang W, Watson S, Weickert T, Witt S, Xi S, Xu W, Young A, Zandi P, Zhang P, Zollner S, Adolfsson R, Agartz I, Alda M, Backlund L, Baune B, Bellivier F, Berrettini W, Biernacka J, Blackwood D, Boehnke M, Børglum A, Corvin A, Craddock N, Daly M, Dannlowski U, Esko T, Etain B, Frye M, Fullerton J, Gershon E, Gill M, Goes F, Grigoroiu-Serbanescu M, Hauser J, Hougaard D, Hultman C, Jones I, Jones L, Kahn R, Kirov G, Landeìn M, Leboyer M, Lewis C, Li Q, Lissowska J, Martin N, Mayoral F, McElroy S, McIntosh A, McMahon F, Melle I, Metspalu A, Mitchell P, Morken G, Mors O, Mortensen P, Müller-Myhsok B, Myers R, Neale B, Nimgaonkar V, Nordentoft M, Nöthen M, O’Donovan M, Oedegaard K, Owen M, Paciga S, Pato C, Pato M, Posthuma D, Ramos-Quiroga J, Ribaseìs M, Rietschel M, Rouleau G, Schalling M, Schofield P, Schulze T, Serretti A, Smoller J, Stefansson H, Stefansson K, Stordal E, Sullivan P, Turecki G, Vaaler A, Vieta E, Vincent J, Werge T, Nurnberger J, Wray N, Di Florio A, Edenberg H, Cichon S, Ophoff R, Scott L, Andreassen O, Kelsoe J, Sklar P. Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers In Neuroscience 2019, 13: 220. PMID: 30930738, PMCID: PMC6425305, DOI: 10.3389/fnins.2019.00220.Peer-Reviewed Original ResearchCommon genetic variantsNovel lociGenetic variantsGenetic overlapPolygenic overlapGenome-wide associationNovel genomic lociNumerous common genetic variantsGenomic lociComplex traitsWide associationGenesLociInternational GenomicsGenetic originTraitsAlzheimer's diseaseImplicatingVariantsGenomicsOverlapBipolar disorderDistinct featuresFurther studiesF112IDENTIFICATION AND CHARACTERIZATION OF SHARED AND DISTINCT ASSOCIATIONS UNDERLYING SCHIZOPHRENIA AND BIPOLAR DISORDER USING TRANSCRIPTOMIC IMPUTATION APPROACHES
Huckins L, Group B. F112IDENTIFICATION AND CHARACTERIZATION OF SHARED AND DISTINCT ASSOCIATIONS UNDERLYING SCHIZOPHRENIA AND BIPOLAR DISORDER USING TRANSCRIPTOMIC IMPUTATION APPROACHES. European Neuropsychopharmacology 2019, 29: s1170-s1171. DOI: 10.1016/j.euroneuro.2018.08.192.Peer-Reviewed Original ResearchBipolar disorder
2017
Novel Bipolar And Schizophrenia Risk Genes Identified Through Genic Associations In Transcriptome Imputation
Huckins L, Dobbyn A, Ruderfer D, Fromer M, Consortium C, Cox N, Im H, Sieberts S, Devlin B, Roussos P, Purcell S, Sklar P, Stahl E. Novel Bipolar And Schizophrenia Risk Genes Identified Through Genic Associations In Transcriptome Imputation. European Neuropsychopharmacology 2017, 27: s487. DOI: 10.1016/j.euroneuro.2016.09.577.Peer-Reviewed Original ResearchPsychiatric Genomics ConsortiumGenome-wide significanceGenic associationsGene expressionAssociation studiesPsychiatric Genomics Consortium schizophreniaRisk genesLarge-scale transcriptome datasetsVariants regulate gene expressionBackgroundGenome-wide association studiesTissue-specific gene expression levelsGWAS sample sizeNovel risk genesRNA-seq dataBipolar disorderSchizophrenia risk genesBiologically relevant dataCase-control sampleGWAS lociGene expression levelsGenome-wideGWAS datasetDisease architectureGenomic regionsTop loci