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Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia

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dc.contributor.author Hess, J.L.
dc.contributor.author Tylee, D.S.
dc.contributor.author Barve, R.
dc.contributor.author De Jong, S.
dc.contributor.author Ophoff, R.A.
dc.contributor.author Kumarasinghe, N.
dc.contributor.author Tooney, P.
dc.contributor.author Schall, U.
dc.contributor.author Gardiner, E.
dc.contributor.author Beveridge, N.J.
dc.contributor.author Scott, R.J.
dc.contributor.author Yasawardene, S.
dc.contributor.author Perera, A.
dc.contributor.author Mendis, J.
dc.contributor.author Carr, V.
dc.contributor.author Kelly, B.
dc.contributor.author Cairns, M.
dc.contributor.author Glatt, S.J.
dc.date.accessioned 2017-11-02T03:13:56Z
dc.date.available 2017-11-02T03:13:56Z
dc.date.issued 2016
dc.identifier.citation Hess, J.L., Tylee, D.S., Barve, R., De Jong, S., Ophoff, R.A., Kumarasinghe, N., Tooney, P., Schall, U., Gardiner, E., Beveridge, N.J., Scott, R.J., Yasawardene, S., Perera, A., Mendis, J., Carr, V., Kelly, B., Cairns, M., Glatt, S.J. "Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia", Schizophrenia Research en_US, si_LK
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/6399
dc.description.abstract Attached en_US, si_LK
dc.description.abstract The application of microarray technology in schizophrenia research was heralded as paradigm-shifting, as it allowed for high-throughput assessment of cell and tissue function. This technology was widely adopted, initially in studies of postmortem brain tissue, and later in studies of peripheral blood. The collective body of schizophrenic microarray literature contains apparent, inconsistencies between studies, with failures to replicate top hits, in part due to small sample sizes, cohort-specific effects, differences in array types, and other confounders. In an attempt to summarize existing studies of schizophrenia cases and non-related comparison subjects, we i performed two mega-analyses of a combined set of microarray data from postmortem prefrontal cortices (n = 315) and from ex-vivo blood tissues (n = 578). We adjusted regression models per gene to remove non-significant covariates, providing bestestimates of transcripts dysregulated in schizophrenia. We also examined dysregulation of functionally related gene sets and gene co-expression modules, and assessed enrichment of cell types and genetic risk factors. The identities of the most significantly dysregulated genes were largely distinct for each tissue, but the findings indicated common emergent biological functions (e.g. immunity) and regulatory factors (e.g., predicted targets of transcription factors and miRNA species across ! i tissues). Our network-based analyses.converged upon similar patterns of heightened innate immune gene expression in both brain and blood in schizophrenia. We also constructed generalizable machine-learnjng classifiers using the blood-based microarray data. Our stu^y provides an informative atlas for future pathophysiologic and biomarker studies of schizophrenia.
dc.language.iso en_US en_US, si_LK
dc.publisher Schizophrenia Research en_US, si_LK
dc.subject Schizophrenia en_US, si_LK
dc.subject Gene expression en_US, si_LK
dc.subject Transcriptome en_US, si_LK
dc.subject Brain en_US, si_LK
dc.subject Blood en_US, si_LK
dc.subject Innate immunity en_US, si_LK
dc.subject Support vector machine en_US, si_LK
dc.subject Random forests en_US, si_LK
dc.title Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia en_US, si_LK
dc.type Article en_US, si_LK


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