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Transcriptome study of differential expression in schizophrenia

Schizophrenia genome-wide association studies (GWAS) have identified common SNPs, rare copy number variants (CNVs) and a large polygenic contribution to illness risk, but biological mechanisms remain unclear. Bioinformatic analyses of significantly associated genetic variants point to a large role f...

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Published in:Human molecular genetics 2013-12, Vol.22 (24), p.5001-5014
Main Authors: Sanders, Alan R, Göring, Harald H H, Duan, Jubao, Drigalenko, Eugene I, Moy, Winton, Freda, Jessica, He, Deli, Shi, Jianxin, Gejman, Pablo V
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container_title Human molecular genetics
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creator Sanders, Alan R
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description Schizophrenia genome-wide association studies (GWAS) have identified common SNPs, rare copy number variants (CNVs) and a large polygenic contribution to illness risk, but biological mechanisms remain unclear. Bioinformatic analyses of significantly associated genetic variants point to a large role for regulatory variants. To identify gene expression abnormalities in schizophrenia, we generated whole-genome gene expression profiles using microarrays on lymphoblastoid cell lines (LCLs) from 413 cases and 446 controls. Regression analysis identified 95 transcripts differentially expressed by affection status at a genome-wide false discovery rate (FDR) of 0.05, while simultaneously controlling for confounding effects. These transcripts represented 89 genes with functions such as neurotransmission, gene regulation, cell cycle progression, differentiation, apoptosis, microRNA (miRNA) processing and immunity. This functional diversity is consistent with schizophrenia's likely significant pathophysiological heterogeneity. The overall enrichment of immune-related genes among those differentially expressed by affection status is consistent with hypothesized immune contributions to schizophrenia risk. The observed differential expression of extended major histocompatibility complex (xMHC) region histones (HIST1H2BD, HIST1H2BC, HIST1H2BH, HIST1H2BG and HIST1H4K) converges with the genetic evidence from GWAS, which find the xMHC to be the most significant susceptibility locus. Among the differentially expressed immune-related genes, B3GNT2 is implicated in autoimmune disorders previously tied to schizophrenia risk (rheumatoid arthritis and Graves' disease), and DICER1 is pivotal in miRNA processing potentially linking to miRNA alterations in schizophrenia (e.g. MIR137, the second strongest GWAS finding). Our analysis provides novel candidate genes for further study to assess their potential contribution to schizophrenia.
doi_str_mv 10.1093/hmg/ddt350
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subjects Adult
Apoptosis
Case-Control Studies
Cell Line
Female
Gene Expression Regulation
Gene Regulatory Networks
Genome-Wide Association Study
Humans
Male
Middle Aged
Molecular Sequence Annotation
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Schizophrenia - genetics
Schizophrenia - metabolism
Signal Transduction
Transcriptome
title Transcriptome study of differential expression in schizophrenia
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