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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 |
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creator | Sanders, Alan R Göring, Harald H H Duan, Jubao Drigalenko, Eugene I Moy, Winton Freda, Jessica He, Deli Shi, Jianxin Gejman, Pablo V |
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. |
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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.</description><identifier>ISSN: 0964-6906</identifier><identifier>EISSN: 1460-2083</identifier><identifier>DOI: 10.1093/hmg/ddt350</identifier><identifier>PMID: 23904455</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>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</subject><ispartof>Human molecular genetics, 2013-12, Vol.22 (24), p.5001-5014</ispartof><rights>The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-643e4e0e6c0c97631338a4de17626e7c6a30091f6d8af869d178efffe5b00ddb3</citedby><cites>FETCH-LOGICAL-c477t-643e4e0e6c0c97631338a4de17626e7c6a30091f6d8af869d178efffe5b00ddb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23904455$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanders, Alan R</creatorcontrib><creatorcontrib>Göring, Harald H H</creatorcontrib><creatorcontrib>Duan, Jubao</creatorcontrib><creatorcontrib>Drigalenko, Eugene I</creatorcontrib><creatorcontrib>Moy, Winton</creatorcontrib><creatorcontrib>Freda, Jessica</creatorcontrib><creatorcontrib>He, Deli</creatorcontrib><creatorcontrib>Shi, Jianxin</creatorcontrib><creatorcontrib>Gejman, Pablo V</creatorcontrib><creatorcontrib>MGS</creatorcontrib><title>Transcriptome study of differential expression in schizophrenia</title><title>Human molecular genetics</title><addtitle>Hum Mol Genet</addtitle><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.</description><subject>Adult</subject><subject>Apoptosis</subject><subject>Case-Control Studies</subject><subject>Cell Line</subject><subject>Female</subject><subject>Gene Expression Regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genome-Wide Association Study</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Molecular Sequence Annotation</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>Schizophrenia - genetics</subject><subject>Schizophrenia - metabolism</subject><subject>Signal Transduction</subject><subject>Transcriptome</subject><issn>0964-6906</issn><issn>1460-2083</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkU1LxDAQhoMouq5e_AHSowh1J002aS6KiF-w4EXPIZtM3Ujb1KQrrr_eLquiN09zmId3nuEl5IjCGQXFJovmeeJcz6awRUaUC8gLKNk2GYESPBcKxB7ZT-kFgArO5C7ZK5gCzqfTEbl4jKZNNvquDw1mqV-6VRaqzPmqwoht702d4XsXMSUf2sy3WbIL_xG6xbD15oDsVKZOePg1x-Tp5vrx6i6fPdzeX13Ocsul7PPhLnIEFBaskoJRxkrDHVIpCoHSCsMAFK2EK01VCuWoLLEaFKZzAOfmbEzON7ndct6gs4NZNLXuom9MXOlgvP67af1CP4c3zUomuFRDwMlXQAyvS0y9bnyyWNemxbBMmnJViIIxwf6BirW_knxATzeojSGliNWPEQW9LkcP5ehNOQN8_PuHH_S7DfYJL4eNKw</recordid><startdate>20131215</startdate><enddate>20131215</enddate><creator>Sanders, Alan R</creator><creator>Göring, Harald H H</creator><creator>Duan, Jubao</creator><creator>Drigalenko, Eugene I</creator><creator>Moy, Winton</creator><creator>Freda, Jessica</creator><creator>He, Deli</creator><creator>Shi, Jianxin</creator><creator>Gejman, Pablo V</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20131215</creationdate><title>Transcriptome study of differential expression in schizophrenia</title><author>Sanders, Alan R ; Göring, Harald H H ; Duan, Jubao ; Drigalenko, Eugene I ; Moy, Winton ; Freda, Jessica ; He, Deli ; Shi, Jianxin ; Gejman, Pablo V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-643e4e0e6c0c97631338a4de17626e7c6a30091f6d8af869d178efffe5b00ddb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Apoptosis</topic><topic>Case-Control Studies</topic><topic>Cell Line</topic><topic>Female</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genome-Wide Association Study</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Molecular Sequence Annotation</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quantitative Trait Loci</topic><topic>Schizophrenia - genetics</topic><topic>Schizophrenia - metabolism</topic><topic>Signal Transduction</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanders, Alan R</creatorcontrib><creatorcontrib>Göring, Harald H H</creatorcontrib><creatorcontrib>Duan, Jubao</creatorcontrib><creatorcontrib>Drigalenko, Eugene I</creatorcontrib><creatorcontrib>Moy, Winton</creatorcontrib><creatorcontrib>Freda, Jessica</creatorcontrib><creatorcontrib>He, Deli</creatorcontrib><creatorcontrib>Shi, Jianxin</creatorcontrib><creatorcontrib>Gejman, Pablo V</creatorcontrib><creatorcontrib>MGS</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human molecular genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanders, Alan R</au><au>Göring, Harald H H</au><au>Duan, Jubao</au><au>Drigalenko, Eugene I</au><au>Moy, Winton</au><au>Freda, Jessica</au><au>He, Deli</au><au>Shi, Jianxin</au><au>Gejman, Pablo V</au><aucorp>MGS</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptome study of differential expression in schizophrenia</atitle><jtitle>Human molecular genetics</jtitle><addtitle>Hum Mol Genet</addtitle><date>2013-12-15</date><risdate>2013</risdate><volume>22</volume><issue>24</issue><spage>5001</spage><epage>5014</epage><pages>5001-5014</pages><issn>0964-6906</issn><eissn>1460-2083</eissn><abstract>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). 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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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