2023
Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing
Johnston K, Cote A, Hicks E, Johnson J, Huckins L. Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing. Biological Psychiatry 2023, 95: 745-761. PMID: 37678542, PMCID: PMC10924073, DOI: 10.1016/j.biopsych.2023.08.023.Peer-Reviewed Original ResearchConceptsGenetically regulated gene expressionMultisite chronic painGene-tissue associationsMean pain scoreUnique genesChronic painAssociation studiesS-PrediXcanGene expressionPain scoresTranscriptome-wide association studyPhenome-wide association studyCardiac dysrhythmiasMetabolic syndromeGenome-wide association studiesAssociated with cardiac dysrhythmiasDrug targetsGenotype-phenotype gapChronic pain developmentAssociation study resultsGene expression changesJoint/ligament sprainsDirection of effectTranscriptome imputationPain traits
2019
SU11 GENETICALLY PREDICTED GENE EXPRESSION IN THE BRAIN AND PERIPHERAL TISSUES ASSOCIATES WITH PTSD
Huckins L, Girdhar K, Dobbyn A, Jovanovic T, Nievergelt C, Hoffman G, Maihofer A, Stein M, Sklar P, Ressler K, Buxbaum J, Stahl E, Daskalakis N, Consortium T, Group P. SU11 GENETICALLY PREDICTED GENE EXPRESSION IN THE BRAIN AND PERIPHERAL TISSUES ASSOCIATES WITH PTSD. European Neuropsychopharmacology 2019, 29: s892-s893. DOI: 10.1016/j.euroneuro.2017.08.200.Peer-Reviewed Original ResearchPost-traumatic stress disorderPsychiatric disordersBrain regionsPost-traumatic stress disorder patientsPost-traumatic stress disorder developmentGenotype-Tissue ExpressionCommonMind ConsortiumIndividuals exposed to traumaDebilitating psychiatric disorderPeripheral tissuesGene expression prediction modelsGene expressionGene-tissue associationsPGC-PTSDStress disorderPTSD riskExpression prediction modelsTrauma typesMulti-system dysregulationImmune dysregulationGenotype dataDisordersGene associationsReference panelGenetic heterogeneity63 TRANSCRIPTOMIC IMPUTATION ANALYSIS IN ANOREXIA NERVOSA IDENTIFIES BOTH METABOLIC AND PSYCHIATRIC AETIOLOGIES
Huckins L, Dobbyn A, Thornton L, Group of the PGC E, Devlin B, Sieberts S, Cox N, Im H, Breen G, Sklar P, Bulik C, Stahl E. 63 TRANSCRIPTOMIC IMPUTATION ANALYSIS IN ANOREXIA NERVOSA IDENTIFIES BOTH METABOLIC AND PSYCHIATRIC AETIOLOGIES. European Neuropsychopharmacology 2019, 29: s818. DOI: 10.1016/j.euroneuro.2017.08.064.Peer-Reviewed Original ResearchGene-tissue associationsTranscriptome imputationCommonMind ConsortiumGene expression prediction modelsGenome-wide significant lociTissue-specific gene expressionExpression prediction modelsMetabolic tissuesCaudate basal gangliaSignificant lociGenotype dataCharacterization of AnGene associationsReference panelGene expressionAetiology of ANMetabolic phenotypeMolecular pathwaysGenetic correlationsAssociation TestPsychiatric disordersAN riskMetabolic systemsImputation analysisBackground Anorexia nervosa