2018
Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS
Dobbyn A, Huckins L, Boocock J, Sloofman L, Glicksberg B, Giambartolomei C, Hoffman G, Perumal T, Girdhar K, Jiang Y, Raj T, Ruderfer D, Kramer R, Pinto D, Akbarian S, Roussos P, Domenici E, Devlin B, Sklar P, Stahl E, Sieberts S, Sklar P, Buxbaum J, Devlin B, Lewis D, Gur R, Hahn C, Hirai K, Toyoshiba H, Domenici E, Essioux L, Mangravite L, Peters M, Lehner T, Lipska B, Cicek A, Lu C, Roeder K, Xie L, Talbot K, Hemby S, Essioux L, Browne A, Chess A, Topol A, Charney A, Dobbyn A, Readhead B, Zhang B, Pinto D, Bennett D, Kavanagh D, Ruderfer D, Stahl E, Schadt E, Hoffman G, Shah H, Zhu J, Johnson J, Fullard J, Dudley J, Girdhar K, Brennand K, Sloofman L, Huckins L, Fromer M, Mahajan M, Roussos P, Akbarian S, Purcell S, Hamamsy T, Raj T, Haroutunian V, Wang Y, Gümüş Z, Senthil G, Kramer R, Logsdon B, Derry J, Dang K, Sieberts S, Perumal T, Visintainer R, Shinobu L, Sullivan P, Klei L. Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. American Journal Of Human Genetics 2018, 102: 1169-1184. PMID: 29805045, PMCID: PMC5993513, DOI: 10.1016/j.ajhg.2018.04.011.Peer-Reviewed Original ResearchConceptsExpression quantitative trait lociConditional expression quantitative trait lociCommonMind ConsortiumEQTL signalsGenome-wide association study (GWAS) lociSchizophrenia GWASContext-specific regulationQuantitative trait lociCo-localization analysisGene expression levelsGWAS associationsNovel genesTrait lociStudy lociCausal genesEQTL dataFine mappingGenomic featuresGWAS statisticsGene expressionGenesGWASLociExpression levelsHuman brain samples
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