Loading…
Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling
Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to ge...
Saved in:
Published in: | Schizophrenia research 2018-09, Vol.199, p.195-202 |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3 |
---|---|
cites | cdi_FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3 |
container_end_page | 202 |
container_issue | |
container_start_page | 195 |
container_title | Schizophrenia research |
container_volume | 199 |
creator | Schijven, Dick Kofink, Daniel Tragante, Vinicius Verkerke, Marloes Pulit, Sara L. Kahn, René S. Veldink, Jan H. Vinkers, Christiaan H. Boks, Marco P. Luykx, Jurjen J. |
description | Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to generate hypotheses about disease mechanisms and have provided biological context to genome-wide data of schizophrenia. We aimed to examine which biological processes are likely candidates to underlie schizophrenia by integrating novel and powerful pathway analysis tools using data from the largest Psychiatric Genomics Consortium schizophrenia GWAS (N=79,845) and the most recent 2018 schizophrenia GWAS (N=105,318). By applying a primary unbiased analysis (Multi-marker Analysis of GenoMic Annotation; MAGMA) to weigh the role of biological processes from the Molecular Signatures Database (MSigDB), we identified enrichment of common variants in synaptic plasticity and neuron differentiation gene sets. We supported these findings using MAGMA, Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA) and Interval Enrichment Analysis (INRICH) on detailed synaptic signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and found enrichment in mainly the dopaminergic and cholinergic synapses. Moreover, shared genes involved in these neurotransmitter systems had a large contribution to the observed enrichment, protein products of top genes in these pathways showed more direct and indirect interactions than expected by chance, and expression profiles of these genes were largely similar among brain tissues. In conclusion, we provide strong and consistent genetics and protein-interaction informed evidence for the role of postsynaptic signaling processes in schizophrenia, opening avenues for future translational and psychopharmacological studies. |
doi_str_mv | 10.1016/j.schres.2018.03.032 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2025320362</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S092099641830183X</els_id><sourcerecordid>2025320362</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3</originalsourceid><addsrcrecordid>eNp9kEFr3DAQhUVpSbZp_kEpOvbi7UiyvPalUJakLQR6yV3I8nhXW6_karQp7q-Plk17LAwMDN-bN_MYey9gLUA0nw5rcvuEtJYg2jWoUvIVWwm9UZXU0L1mK-gkVF3X1NfsLdEBAISGzRW7ll2jVdvJFdtt43FOuMdA_gn5bPP-t124DXZaCInHkRcb_yfOxSt4y5Onn3yKzvM5-pB5jnxYaDwFl30sqjKmTEuwc_aOk9-VmQ-7d-zNaCfC25d-wx7v7x6336qHH1-_b788VK6GNlfOtapxbtSNrXXfy7GxiFhutRY1tIMYwHZa9A5qrRqhJMiNHF3b94NswKkb9vGydk7x1wkpm6Mnh9NkA8YTmcLrIlKNLGh9QV2KRAlHMyd_tGkxAsw5YXMwl4TNOWEDqtRZ9uHF4dQfcfgn-htpAT5fACxvPnlMZYvH4HDwCV02Q_T_d3gGUVeR6g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2025320362</pqid></control><display><type>article</type><title>Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling</title><source>Elsevier</source><creator>Schijven, Dick ; Kofink, Daniel ; Tragante, Vinicius ; Verkerke, Marloes ; Pulit, Sara L. ; Kahn, René S. ; Veldink, Jan H. ; Vinkers, Christiaan H. ; Boks, Marco P. ; Luykx, Jurjen J.</creator><creatorcontrib>Schijven, Dick ; Kofink, Daniel ; Tragante, Vinicius ; Verkerke, Marloes ; Pulit, Sara L. ; Kahn, René S. ; Veldink, Jan H. ; Vinkers, Christiaan H. ; Boks, Marco P. ; Luykx, Jurjen J.</creatorcontrib><description>Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to generate hypotheses about disease mechanisms and have provided biological context to genome-wide data of schizophrenia. We aimed to examine which biological processes are likely candidates to underlie schizophrenia by integrating novel and powerful pathway analysis tools using data from the largest Psychiatric Genomics Consortium schizophrenia GWAS (N=79,845) and the most recent 2018 schizophrenia GWAS (N=105,318). By applying a primary unbiased analysis (Multi-marker Analysis of GenoMic Annotation; MAGMA) to weigh the role of biological processes from the Molecular Signatures Database (MSigDB), we identified enrichment of common variants in synaptic plasticity and neuron differentiation gene sets. We supported these findings using MAGMA, Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA) and Interval Enrichment Analysis (INRICH) on detailed synaptic signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and found enrichment in mainly the dopaminergic and cholinergic synapses. Moreover, shared genes involved in these neurotransmitter systems had a large contribution to the observed enrichment, protein products of top genes in these pathways showed more direct and indirect interactions than expected by chance, and expression profiles of these genes were largely similar among brain tissues. In conclusion, we provide strong and consistent genetics and protein-interaction informed evidence for the role of postsynaptic signaling processes in schizophrenia, opening avenues for future translational and psychopharmacological studies.</description><identifier>ISSN: 0920-9964</identifier><identifier>EISSN: 1573-2509</identifier><identifier>DOI: 10.1016/j.schres.2018.03.032</identifier><identifier>PMID: 29653892</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Enrichment ; GWAS ; Neurotransmitter ; Pathway ; Schizophrenia ; Synapse</subject><ispartof>Schizophrenia research, 2018-09, Vol.199, p.195-202</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3</citedby><cites>FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3</cites><orcidid>0000-0001-5190-7241</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29653892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schijven, Dick</creatorcontrib><creatorcontrib>Kofink, Daniel</creatorcontrib><creatorcontrib>Tragante, Vinicius</creatorcontrib><creatorcontrib>Verkerke, Marloes</creatorcontrib><creatorcontrib>Pulit, Sara L.</creatorcontrib><creatorcontrib>Kahn, René S.</creatorcontrib><creatorcontrib>Veldink, Jan H.</creatorcontrib><creatorcontrib>Vinkers, Christiaan H.</creatorcontrib><creatorcontrib>Boks, Marco P.</creatorcontrib><creatorcontrib>Luykx, Jurjen J.</creatorcontrib><title>Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling</title><title>Schizophrenia research</title><addtitle>Schizophr Res</addtitle><description>Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to generate hypotheses about disease mechanisms and have provided biological context to genome-wide data of schizophrenia. We aimed to examine which biological processes are likely candidates to underlie schizophrenia by integrating novel and powerful pathway analysis tools using data from the largest Psychiatric Genomics Consortium schizophrenia GWAS (N=79,845) and the most recent 2018 schizophrenia GWAS (N=105,318). By applying a primary unbiased analysis (Multi-marker Analysis of GenoMic Annotation; MAGMA) to weigh the role of biological processes from the Molecular Signatures Database (MSigDB), we identified enrichment of common variants in synaptic plasticity and neuron differentiation gene sets. We supported these findings using MAGMA, Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA) and Interval Enrichment Analysis (INRICH) on detailed synaptic signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and found enrichment in mainly the dopaminergic and cholinergic synapses. Moreover, shared genes involved in these neurotransmitter systems had a large contribution to the observed enrichment, protein products of top genes in these pathways showed more direct and indirect interactions than expected by chance, and expression profiles of these genes were largely similar among brain tissues. In conclusion, we provide strong and consistent genetics and protein-interaction informed evidence for the role of postsynaptic signaling processes in schizophrenia, opening avenues for future translational and psychopharmacological studies.</description><subject>Enrichment</subject><subject>GWAS</subject><subject>Neurotransmitter</subject><subject>Pathway</subject><subject>Schizophrenia</subject><subject>Synapse</subject><issn>0920-9964</issn><issn>1573-2509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEFr3DAQhUVpSbZp_kEpOvbi7UiyvPalUJakLQR6yV3I8nhXW6_karQp7q-Plk17LAwMDN-bN_MYey9gLUA0nw5rcvuEtJYg2jWoUvIVWwm9UZXU0L1mK-gkVF3X1NfsLdEBAISGzRW7ll2jVdvJFdtt43FOuMdA_gn5bPP-t124DXZaCInHkRcb_yfOxSt4y5Onn3yKzvM5-pB5jnxYaDwFl30sqjKmTEuwc_aOk9-VmQ-7d-zNaCfC25d-wx7v7x6336qHH1-_b788VK6GNlfOtapxbtSNrXXfy7GxiFhutRY1tIMYwHZa9A5qrRqhJMiNHF3b94NswKkb9vGydk7x1wkpm6Mnh9NkA8YTmcLrIlKNLGh9QV2KRAlHMyd_tGkxAsw5YXMwl4TNOWEDqtRZ9uHF4dQfcfgn-htpAT5fACxvPnlMZYvH4HDwCV02Q_T_d3gGUVeR6g</recordid><startdate>201809</startdate><enddate>201809</enddate><creator>Schijven, Dick</creator><creator>Kofink, Daniel</creator><creator>Tragante, Vinicius</creator><creator>Verkerke, Marloes</creator><creator>Pulit, Sara L.</creator><creator>Kahn, René S.</creator><creator>Veldink, Jan H.</creator><creator>Vinkers, Christiaan H.</creator><creator>Boks, Marco P.</creator><creator>Luykx, Jurjen J.</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5190-7241</orcidid></search><sort><creationdate>201809</creationdate><title>Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling</title><author>Schijven, Dick ; Kofink, Daniel ; Tragante, Vinicius ; Verkerke, Marloes ; Pulit, Sara L. ; Kahn, René S. ; Veldink, Jan H. ; Vinkers, Christiaan H. ; Boks, Marco P. ; Luykx, Jurjen J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Enrichment</topic><topic>GWAS</topic><topic>Neurotransmitter</topic><topic>Pathway</topic><topic>Schizophrenia</topic><topic>Synapse</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schijven, Dick</creatorcontrib><creatorcontrib>Kofink, Daniel</creatorcontrib><creatorcontrib>Tragante, Vinicius</creatorcontrib><creatorcontrib>Verkerke, Marloes</creatorcontrib><creatorcontrib>Pulit, Sara L.</creatorcontrib><creatorcontrib>Kahn, René S.</creatorcontrib><creatorcontrib>Veldink, Jan H.</creatorcontrib><creatorcontrib>Vinkers, Christiaan H.</creatorcontrib><creatorcontrib>Boks, Marco P.</creatorcontrib><creatorcontrib>Luykx, Jurjen J.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Schizophrenia research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schijven, Dick</au><au>Kofink, Daniel</au><au>Tragante, Vinicius</au><au>Verkerke, Marloes</au><au>Pulit, Sara L.</au><au>Kahn, René S.</au><au>Veldink, Jan H.</au><au>Vinkers, Christiaan H.</au><au>Boks, Marco P.</au><au>Luykx, Jurjen J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling</atitle><jtitle>Schizophrenia research</jtitle><addtitle>Schizophr Res</addtitle><date>2018-09</date><risdate>2018</risdate><volume>199</volume><spage>195</spage><epage>202</epage><pages>195-202</pages><issn>0920-9964</issn><eissn>1573-2509</eissn><abstract>Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to generate hypotheses about disease mechanisms and have provided biological context to genome-wide data of schizophrenia. We aimed to examine which biological processes are likely candidates to underlie schizophrenia by integrating novel and powerful pathway analysis tools using data from the largest Psychiatric Genomics Consortium schizophrenia GWAS (N=79,845) and the most recent 2018 schizophrenia GWAS (N=105,318). By applying a primary unbiased analysis (Multi-marker Analysis of GenoMic Annotation; MAGMA) to weigh the role of biological processes from the Molecular Signatures Database (MSigDB), we identified enrichment of common variants in synaptic plasticity and neuron differentiation gene sets. We supported these findings using MAGMA, Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA) and Interval Enrichment Analysis (INRICH) on detailed synaptic signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and found enrichment in mainly the dopaminergic and cholinergic synapses. Moreover, shared genes involved in these neurotransmitter systems had a large contribution to the observed enrichment, protein products of top genes in these pathways showed more direct and indirect interactions than expected by chance, and expression profiles of these genes were largely similar among brain tissues. In conclusion, we provide strong and consistent genetics and protein-interaction informed evidence for the role of postsynaptic signaling processes in schizophrenia, opening avenues for future translational and psychopharmacological studies.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>29653892</pmid><doi>10.1016/j.schres.2018.03.032</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5190-7241</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0920-9964 |
ispartof | Schizophrenia research, 2018-09, Vol.199, p.195-202 |
issn | 0920-9964 1573-2509 |
language | eng |
recordid | cdi_proquest_miscellaneous_2025320362 |
source | Elsevier |
subjects | Enrichment GWAS Neurotransmitter Pathway Schizophrenia Synapse |
title | Comprehensive pathway analyses of schizophrenia risk loci point to dysfunctional postsynaptic signaling |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T16%3A59%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comprehensive%20pathway%20analyses%20of%20schizophrenia%20risk%20loci%20point%20to%20dysfunctional%20postsynaptic%20signaling&rft.jtitle=Schizophrenia%20research&rft.au=Schijven,%20Dick&rft.date=2018-09&rft.volume=199&rft.spage=195&rft.epage=202&rft.pages=195-202&rft.issn=0920-9964&rft.eissn=1573-2509&rft_id=info:doi/10.1016/j.schres.2018.03.032&rft_dat=%3Cproquest_cross%3E2025320362%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c408t-cc836ccf56a45bb2f6aeee538aae508d1d0a951bc045361320272fc8bbd260c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2025320362&rft_id=info:pmid/29653892&rfr_iscdi=true |