SP0104 The Molecular Basis of Autoimmune Disease

Genome-wide association studies have identified numerous genetic associations between common SNPs and risk of autoimmune diseases, some of which are shared between diseases. Along with clinical evidence, this suggests that some genetic risk factors with their biologic effects may be shared across di...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Annals of the rheumatic diseases 2014-06, Vol.73 (Suppl 2), p.27-28
1. Verfasser: Hafler, D.A.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 28
container_issue Suppl 2
container_start_page 27
container_title Annals of the rheumatic diseases
container_volume 73
creator Hafler, D.A.
description Genome-wide association studies have identified numerous genetic associations between common SNPs and risk of autoimmune diseases, some of which are shared between diseases. Along with clinical evidence, this suggests that some genetic risk factors with their biologic effects may be shared across diseases. We evaluate the extent of this sharing for 107 immune disease-risk SNPs in seven diseases and developed a novel statistic for Cross Phenotype Meta-Analysis which detects association of a SNP to multiple, but not necessarily all, phenotypes. We find evidence that 47/107 (44%) immune-mediated disease risk SNPs are associated to multiple – but not all – immune-mediated diseases (SNP-wise P CPMA< 0.01). Distinct groups of interacting proteins are encoded near SNPs that predispose to the same subsets of diseases; we propose these as the mechanistic basis of shared disease risk. We have begun efforts to identify the biologic effects of disease causing SNPs at non-coding regions of the genome where it has been difficult to assign function to DNA sequence and to compare these effects across different autoimmune diseases. We use fine-mapping genetic data to identify causal mutations and integrate these data with chromatin maps of ten defined human CD4+ T-cell populations. These investigations identified risk variants disrupting the enhancers of distinct cell types among the different autoimmune diseases, particularly in AP-1 and NFkB. Finally, autoimmune disease results from untoward interactions between genetics and the environment. We recently showed that increased salt (NaCl) concentrations found locally under physiological conditions in vivo dramatically boost the induction of Th17 cells mediated by SGK1. The Th17 cells generated under high-salt display a highly pathogenic and stable phenotype characterized by the up-regulation of the pro-inflammatory cytokines GM-CSF, TNFα and IL-2. Recent data revealed that higher NaCl levels also decreased the function of human CD4+CD25+FoxP3+ Tregs isolated ex vivo. Mice fed with a high-salt diet develop a more severe form of EAE, in line with augmented central nervous system infiltrating and peripherally induced antigen specific Th17 cells. It was of interest to observe that RNA array analyses of genes induced by NaCl were markedly enhanced among GWAS hits. Identifying specific sites where a single, non-coding nucleotide variant is responsible for disease risk may pinpoint specific disruptions of consensus transcription
doi_str_mv 10.1136/annrheumdis-2014-eular.6254
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1777970650</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4008700511</sourcerecordid><originalsourceid>FETCH-LOGICAL-b1270-e76a3288081f8816e8f3b1db61b77ad870420356e9dbc2bc29147ac62829cfcd3</originalsourceid><addsrcrecordid>eNqVkM1Kw0AQxxdRsFbfIdBz6sxms7vBU61WhYqC9bxskglNaZK62xy8efFFfRI31oNXYWCY4f8BP8YmCFPERF7atnVr6puy9jEHFDH1W-umkqfiiI1QSB3eEo7ZCACSWGRSnbIz7zfhBI16xPjLMyCIr4_P1Zqix25LxRARXVtf-6irolm_7-qm6VuKbmpP1tM5O6ns1tPF7x6z18Xtan4fL5_uHuazZZwjVxCTkjbhWoeeSmuUpKskxzKXmCtlS61AcEhSSVmZFzxMhkLZQnLNs6IqymTMJofcneveevJ7s-l614ZKg0qpTIFMIaiuDqrCdd47qszO1Y117wbBDJDMH0hmgGR-IJkBUnDLgztvNv8yfgPkZnFw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1777970650</pqid></control><display><type>article</type><title>SP0104 The Molecular Basis of Autoimmune Disease</title><source>BMJ Journals - NESLi2</source><creator>Hafler, D.A.</creator><creatorcontrib>Hafler, D.A.</creatorcontrib><description>Genome-wide association studies have identified numerous genetic associations between common SNPs and risk of autoimmune diseases, some of which are shared between diseases. Along with clinical evidence, this suggests that some genetic risk factors with their biologic effects may be shared across diseases. We evaluate the extent of this sharing for 107 immune disease-risk SNPs in seven diseases and developed a novel statistic for Cross Phenotype Meta-Analysis which detects association of a SNP to multiple, but not necessarily all, phenotypes. We find evidence that 47/107 (44%) immune-mediated disease risk SNPs are associated to multiple – but not all – immune-mediated diseases (SNP-wise P CPMA&lt; 0.01). Distinct groups of interacting proteins are encoded near SNPs that predispose to the same subsets of diseases; we propose these as the mechanistic basis of shared disease risk. We have begun efforts to identify the biologic effects of disease causing SNPs at non-coding regions of the genome where it has been difficult to assign function to DNA sequence and to compare these effects across different autoimmune diseases. We use fine-mapping genetic data to identify causal mutations and integrate these data with chromatin maps of ten defined human CD4+ T-cell populations. These investigations identified risk variants disrupting the enhancers of distinct cell types among the different autoimmune diseases, particularly in AP-1 and NFkB. Finally, autoimmune disease results from untoward interactions between genetics and the environment. We recently showed that increased salt (NaCl) concentrations found locally under physiological conditions in vivo dramatically boost the induction of Th17 cells mediated by SGK1. The Th17 cells generated under high-salt display a highly pathogenic and stable phenotype characterized by the up-regulation of the pro-inflammatory cytokines GM-CSF, TNFα and IL-2. Recent data revealed that higher NaCl levels also decreased the function of human CD4+CD25+FoxP3+ Tregs isolated ex vivo. Mice fed with a high-salt diet develop a more severe form of EAE, in line with augmented central nervous system infiltrating and peripherally induced antigen specific Th17 cells. It was of interest to observe that RNA array analyses of genes induced by NaCl were markedly enhanced among GWAS hits. Identifying specific sites where a single, non-coding nucleotide variant is responsible for disease risk may pinpoint specific disruptions of consensus transcription factor binding sites that ultimately define disease risk as related to environmental factors. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.6254</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2014-eular.6254</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><ispartof>Annals of the rheumatic diseases, 2014-06, Vol.73 (Suppl 2), p.27-28</ispartof><rights>2014, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2014 (c) 2014, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/73/Suppl_2/27.5.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/73/Suppl_2/27.5.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids></links><search><creatorcontrib>Hafler, D.A.</creatorcontrib><title>SP0104 The Molecular Basis of Autoimmune Disease</title><title>Annals of the rheumatic diseases</title><description>Genome-wide association studies have identified numerous genetic associations between common SNPs and risk of autoimmune diseases, some of which are shared between diseases. Along with clinical evidence, this suggests that some genetic risk factors with their biologic effects may be shared across diseases. We evaluate the extent of this sharing for 107 immune disease-risk SNPs in seven diseases and developed a novel statistic for Cross Phenotype Meta-Analysis which detects association of a SNP to multiple, but not necessarily all, phenotypes. We find evidence that 47/107 (44%) immune-mediated disease risk SNPs are associated to multiple – but not all – immune-mediated diseases (SNP-wise P CPMA&lt; 0.01). Distinct groups of interacting proteins are encoded near SNPs that predispose to the same subsets of diseases; we propose these as the mechanistic basis of shared disease risk. We have begun efforts to identify the biologic effects of disease causing SNPs at non-coding regions of the genome where it has been difficult to assign function to DNA sequence and to compare these effects across different autoimmune diseases. We use fine-mapping genetic data to identify causal mutations and integrate these data with chromatin maps of ten defined human CD4+ T-cell populations. These investigations identified risk variants disrupting the enhancers of distinct cell types among the different autoimmune diseases, particularly in AP-1 and NFkB. Finally, autoimmune disease results from untoward interactions between genetics and the environment. We recently showed that increased salt (NaCl) concentrations found locally under physiological conditions in vivo dramatically boost the induction of Th17 cells mediated by SGK1. The Th17 cells generated under high-salt display a highly pathogenic and stable phenotype characterized by the up-regulation of the pro-inflammatory cytokines GM-CSF, TNFα and IL-2. Recent data revealed that higher NaCl levels also decreased the function of human CD4+CD25+FoxP3+ Tregs isolated ex vivo. Mice fed with a high-salt diet develop a more severe form of EAE, in line with augmented central nervous system infiltrating and peripherally induced antigen specific Th17 cells. It was of interest to observe that RNA array analyses of genes induced by NaCl were markedly enhanced among GWAS hits. Identifying specific sites where a single, non-coding nucleotide variant is responsible for disease risk may pinpoint specific disruptions of consensus transcription factor binding sites that ultimately define disease risk as related to environmental factors. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.6254</description><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqVkM1Kw0AQxxdRsFbfIdBz6sxms7vBU61WhYqC9bxskglNaZK62xy8efFFfRI31oNXYWCY4f8BP8YmCFPERF7atnVr6puy9jEHFDH1W-umkqfiiI1QSB3eEo7ZCACSWGRSnbIz7zfhBI16xPjLMyCIr4_P1Zqix25LxRARXVtf-6irolm_7-qm6VuKbmpP1tM5O6ns1tPF7x6z18Xtan4fL5_uHuazZZwjVxCTkjbhWoeeSmuUpKskxzKXmCtlS61AcEhSSVmZFzxMhkLZQnLNs6IqymTMJofcneveevJ7s-l614ZKg0qpTIFMIaiuDqrCdd47qszO1Y117wbBDJDMH0hmgGR-IJkBUnDLgztvNv8yfgPkZnFw</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Hafler, D.A.</creator><general>BMJ Publishing Group LTD</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>201406</creationdate><title>SP0104 The Molecular Basis of Autoimmune Disease</title><author>Hafler, D.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1270-e76a3288081f8816e8f3b1db61b77ad870420356e9dbc2bc29147ac62829cfcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hafler, D.A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hafler, D.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SP0104 The Molecular Basis of Autoimmune Disease</atitle><jtitle>Annals of the rheumatic diseases</jtitle><date>2014-06</date><risdate>2014</risdate><volume>73</volume><issue>Suppl 2</issue><spage>27</spage><epage>28</epage><pages>27-28</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>Genome-wide association studies have identified numerous genetic associations between common SNPs and risk of autoimmune diseases, some of which are shared between diseases. Along with clinical evidence, this suggests that some genetic risk factors with their biologic effects may be shared across diseases. We evaluate the extent of this sharing for 107 immune disease-risk SNPs in seven diseases and developed a novel statistic for Cross Phenotype Meta-Analysis which detects association of a SNP to multiple, but not necessarily all, phenotypes. We find evidence that 47/107 (44%) immune-mediated disease risk SNPs are associated to multiple – but not all – immune-mediated diseases (SNP-wise P CPMA&lt; 0.01). Distinct groups of interacting proteins are encoded near SNPs that predispose to the same subsets of diseases; we propose these as the mechanistic basis of shared disease risk. We have begun efforts to identify the biologic effects of disease causing SNPs at non-coding regions of the genome where it has been difficult to assign function to DNA sequence and to compare these effects across different autoimmune diseases. We use fine-mapping genetic data to identify causal mutations and integrate these data with chromatin maps of ten defined human CD4+ T-cell populations. These investigations identified risk variants disrupting the enhancers of distinct cell types among the different autoimmune diseases, particularly in AP-1 and NFkB. Finally, autoimmune disease results from untoward interactions between genetics and the environment. We recently showed that increased salt (NaCl) concentrations found locally under physiological conditions in vivo dramatically boost the induction of Th17 cells mediated by SGK1. The Th17 cells generated under high-salt display a highly pathogenic and stable phenotype characterized by the up-regulation of the pro-inflammatory cytokines GM-CSF, TNFα and IL-2. Recent data revealed that higher NaCl levels also decreased the function of human CD4+CD25+FoxP3+ Tregs isolated ex vivo. Mice fed with a high-salt diet develop a more severe form of EAE, in line with augmented central nervous system infiltrating and peripherally induced antigen specific Th17 cells. It was of interest to observe that RNA array analyses of genes induced by NaCl were markedly enhanced among GWAS hits. Identifying specific sites where a single, non-coding nucleotide variant is responsible for disease risk may pinpoint specific disruptions of consensus transcription factor binding sites that ultimately define disease risk as related to environmental factors. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.6254</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/annrheumdis-2014-eular.6254</doi><tpages>2</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0003-4967
ispartof Annals of the rheumatic diseases, 2014-06, Vol.73 (Suppl 2), p.27-28
issn 0003-4967
1468-2060
language eng
recordid cdi_proquest_journals_1777970650
source BMJ Journals - NESLi2
title SP0104 The Molecular Basis of Autoimmune Disease
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T11%3A40%3A17IST&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=SP0104%E2%80%85The%20Molecular%20Basis%20of%20Autoimmune%20Disease&rft.jtitle=Annals%20of%20the%20rheumatic%20diseases&rft.au=Hafler,%20D.A.&rft.date=2014-06&rft.volume=73&rft.issue=Suppl%202&rft.spage=27&rft.epage=28&rft.pages=27-28&rft.issn=0003-4967&rft.eissn=1468-2060&rft.coden=ARDIAO&rft_id=info:doi/10.1136/annrheumdis-2014-eular.6254&rft_dat=%3Cproquest_cross%3E4008700511%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1777970650&rft_id=info:pmid/&rfr_iscdi=true