Systematic identification of trans eQTLs as putative drivers of known disease associations
Lude Franke and colleagues report the results of a large expression QTL study performed on peripheral blood samples from 5,311 individuals. They identify trans -eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this...
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| Veröffentlicht in: | Nature genetics 2013-10, Vol.45 (10), p.1238-1243 |
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| creator | Westra, Harm-Jan Peters, Marjolein J Esko, Tõnu Yaghootkar, Hanieh Schurmann, Claudia Kettunen, Johannes Christiansen, Mark W Fairfax, Benjamin P Schramm, Katharina Powell, Joseph E Zhernakova, Alexandra Zhernakova, Daria V Veldink, Jan H Van den Berg, Leonard H Karjalainen, Juha Withoff, Sebo Uitterlinden, André G Hofman, Albert Rivadeneira, Fernando 't Hoen, Peter A C Reinmaa, Eva Fischer, Krista Nelis, Mari Milani, Lili Melzer, David Ferrucci, Luigi Singleton, Andrew B Hernandez, Dena G Nalls, Michael A Homuth, Georg Nauck, Matthias Radke, Dörte Völker, Uwe Perola, Markus Salomaa, Veikko Brody, Jennifer Suchy-Dicey, Astrid Gharib, Sina A Enquobahrie, Daniel A Lumley, Thomas Montgomery, Grant W Makino, Seiko Prokisch, Holger Herder, Christian Roden, Michael Grallert, Harald Meitinger, Thomas Strauch, Konstantin Li, Yang Jansen, Ritsert C Visscher, Peter M Knight, Julian C Psaty, Bruce M Ripatti, Samuli Teumer, Alexander Frayling, Timothy M Metspalu, Andres van Meurs, Joyce B J Franke, Lude |
| description | Lude Franke and colleagues report the results of a large expression QTL study performed on peripheral blood samples from 5,311 individuals. They identify
trans
-eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this approach can provide insights into the downstream effects of many trait-associated variants.
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated
trans
eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in
trans
that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE)
1
, altered gene expression of
C1QB
and five type I interferon response genes, both hallmarks of SLE
2
,
3
,
4
. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3′ UTR levels of
IKZF1
in
cis
, and chromatin immunoprecipitation and sequencing analysis of the
trans
-regulated genes implicated
IKZF1
as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants. |
| doi_str_mv | 10.1038/ng.2756 |
| format | Article |
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trans
-eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this approach can provide insights into the downstream effects of many trait-associated variants.
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated
trans
eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in
trans
that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE)
1
, altered gene expression of
C1QB
and five type I interferon response genes, both hallmarks of SLE
2
,
3
,
4
. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3′ UTR levels of
IKZF1
in
cis
, and chromatin immunoprecipitation and sequencing analysis of the
trans
-regulated genes implicated
IKZF1
as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants.</description><identifier>ISSN: 1061-4036</identifier><identifier>EISSN: 1546-1718</identifier><identifier>DOI: 10.1038/ng.2756</identifier><identifier>PMID: 24013639</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/208/191/2018 ; 631/208/200 ; 631/208/205 ; Agriculture ; Animal Genetics and Genomics ; Binding sites ; Biomedicine ; Cancer Research ; Diabetes Mellitus, Type 1 - genetics ; Disease ; Gene expression ; Gene Function ; Gene mapping ; Genetic aspects ; Genetic Predisposition to Disease ; Genomes ; Human Genetics ; Humans ; Identification and classification ; letter ; Lupus Erythematosus, Systemic - genetics ; Meta-analysis ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Single nucleotide polymorphisms ; Studies ; Systemic lupus erythematosus</subject><ispartof>Nature genetics, 2013-10, Vol.45 (10), p.1238-1243</ispartof><rights>Springer Nature America, Inc. 2013</rights><rights>COPYRIGHT 2013 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Oct 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c631t-b45d628068454ff9cfed35e359a96dfce2fce8929182a2bf2f3de3fa4c275b323</citedby><cites>FETCH-LOGICAL-c631t-b45d628068454ff9cfed35e359a96dfce2fce8929182a2bf2f3de3fa4c275b323</cites><orcidid>0000-0001-7038-567X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/ng.2756$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/ng.2756$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24013639$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Westra, Harm-Jan</creatorcontrib><creatorcontrib>Peters, Marjolein J</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Yaghootkar, Hanieh</creatorcontrib><creatorcontrib>Schurmann, Claudia</creatorcontrib><creatorcontrib>Kettunen, Johannes</creatorcontrib><creatorcontrib>Christiansen, Mark W</creatorcontrib><creatorcontrib>Fairfax, Benjamin P</creatorcontrib><creatorcontrib>Schramm, Katharina</creatorcontrib><creatorcontrib>Powell, Joseph E</creatorcontrib><creatorcontrib>Zhernakova, Alexandra</creatorcontrib><creatorcontrib>Zhernakova, Daria V</creatorcontrib><creatorcontrib>Veldink, Jan H</creatorcontrib><creatorcontrib>Van den Berg, Leonard H</creatorcontrib><creatorcontrib>Karjalainen, Juha</creatorcontrib><creatorcontrib>Withoff, Sebo</creatorcontrib><creatorcontrib>Uitterlinden, André G</creatorcontrib><creatorcontrib>Hofman, Albert</creatorcontrib><creatorcontrib>Rivadeneira, Fernando</creatorcontrib><creatorcontrib>'t Hoen, Peter A C</creatorcontrib><creatorcontrib>Reinmaa, Eva</creatorcontrib><creatorcontrib>Fischer, Krista</creatorcontrib><creatorcontrib>Nelis, Mari</creatorcontrib><creatorcontrib>Milani, Lili</creatorcontrib><creatorcontrib>Melzer, David</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Singleton, Andrew B</creatorcontrib><creatorcontrib>Hernandez, Dena G</creatorcontrib><creatorcontrib>Nalls, Michael A</creatorcontrib><creatorcontrib>Homuth, Georg</creatorcontrib><creatorcontrib>Nauck, Matthias</creatorcontrib><creatorcontrib>Radke, Dörte</creatorcontrib><creatorcontrib>Völker, Uwe</creatorcontrib><creatorcontrib>Perola, Markus</creatorcontrib><creatorcontrib>Salomaa, Veikko</creatorcontrib><creatorcontrib>Brody, Jennifer</creatorcontrib><creatorcontrib>Suchy-Dicey, Astrid</creatorcontrib><creatorcontrib>Gharib, Sina A</creatorcontrib><creatorcontrib>Enquobahrie, Daniel A</creatorcontrib><creatorcontrib>Lumley, Thomas</creatorcontrib><creatorcontrib>Montgomery, Grant W</creatorcontrib><creatorcontrib>Makino, Seiko</creatorcontrib><creatorcontrib>Prokisch, Holger</creatorcontrib><creatorcontrib>Herder, Christian</creatorcontrib><creatorcontrib>Roden, Michael</creatorcontrib><creatorcontrib>Grallert, Harald</creatorcontrib><creatorcontrib>Meitinger, Thomas</creatorcontrib><creatorcontrib>Strauch, Konstantin</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Jansen, Ritsert C</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><creatorcontrib>Knight, Julian C</creatorcontrib><creatorcontrib>Psaty, Bruce M</creatorcontrib><creatorcontrib>Ripatti, Samuli</creatorcontrib><creatorcontrib>Teumer, Alexander</creatorcontrib><creatorcontrib>Frayling, Timothy M</creatorcontrib><creatorcontrib>Metspalu, Andres</creatorcontrib><creatorcontrib>van Meurs, Joyce B J</creatorcontrib><creatorcontrib>Franke, Lude</creatorcontrib><title>Systematic identification of trans eQTLs as putative drivers of known disease associations</title><title>Nature genetics</title><addtitle>Nat Genet</addtitle><addtitle>Nat Genet</addtitle><description>Lude Franke and colleagues report the results of a large expression QTL study performed on peripheral blood samples from 5,311 individuals. They identify
trans
-eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this approach can provide insights into the downstream effects of many trait-associated variants.
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated
trans
eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in
trans
that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE)
1
, altered gene expression of
C1QB
and five type I interferon response genes, both hallmarks of SLE
2
,
3
,
4
. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3′ UTR levels of
IKZF1
in
cis
, and chromatin immunoprecipitation and sequencing analysis of the
trans
-regulated genes implicated
IKZF1
as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants.</description><subject>631/208/191/2018</subject><subject>631/208/200</subject><subject>631/208/205</subject><subject>Agriculture</subject><subject>Animal Genetics and Genomics</subject><subject>Binding sites</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Diabetes Mellitus, Type 1 - genetics</subject><subject>Disease</subject><subject>Gene expression</subject><subject>Gene Function</subject><subject>Gene mapping</subject><subject>Genetic aspects</subject><subject>Genetic Predisposition to Disease</subject><subject>Genomes</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Identification and classification</subject><subject>letter</subject><subject>Lupus Erythematosus, Systemic - genetics</subject><subject>Meta-analysis</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>Single nucleotide polymorphisms</subject><subject>Studies</subject><subject>Systemic lupus 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identification of trans eQTLs as putative drivers of known disease associations</title><author>Westra, Harm-Jan ; Peters, Marjolein J ; Esko, Tõnu ; Yaghootkar, Hanieh ; Schurmann, Claudia ; Kettunen, Johannes ; Christiansen, Mark W ; Fairfax, Benjamin P ; Schramm, Katharina ; Powell, Joseph E ; Zhernakova, Alexandra ; Zhernakova, Daria V ; Veldink, Jan H ; Van den Berg, Leonard H ; Karjalainen, Juha ; Withoff, Sebo ; Uitterlinden, André G ; Hofman, Albert ; Rivadeneira, Fernando ; 't Hoen, Peter A C ; Reinmaa, Eva ; Fischer, Krista ; Nelis, Mari ; Milani, Lili ; Melzer, David ; Ferrucci, Luigi ; Singleton, Andrew B ; Hernandez, Dena G ; Nalls, Michael A ; Homuth, Georg ; Nauck, Matthias ; Radke, Dörte ; Völker, Uwe ; Perola, Markus ; Salomaa, Veikko ; Brody, Jennifer ; Suchy-Dicey, Astrid ; Gharib, Sina A ; Enquobahrie, Daniel A ; Lumley, Thomas ; Montgomery, Grant W ; Makino, Seiko ; Prokisch, Holger ; Herder, Christian ; Roden, Michael ; Grallert, Harald ; Meitinger, Thomas ; 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Disease</topic><topic>Genomes</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Identification and classification</topic><topic>letter</topic><topic>Lupus Erythematosus, Systemic - genetics</topic><topic>Meta-analysis</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quantitative Trait Loci</topic><topic>Single nucleotide polymorphisms</topic><topic>Studies</topic><topic>Systemic lupus erythematosus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Westra, Harm-Jan</creatorcontrib><creatorcontrib>Peters, Marjolein J</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Yaghootkar, Hanieh</creatorcontrib><creatorcontrib>Schurmann, Claudia</creatorcontrib><creatorcontrib>Kettunen, Johannes</creatorcontrib><creatorcontrib>Christiansen, Mark W</creatorcontrib><creatorcontrib>Fairfax, Benjamin P</creatorcontrib><creatorcontrib>Schramm, Katharina</creatorcontrib><creatorcontrib>Powell, Joseph E</creatorcontrib><creatorcontrib>Zhernakova, Alexandra</creatorcontrib><creatorcontrib>Zhernakova, Daria V</creatorcontrib><creatorcontrib>Veldink, Jan H</creatorcontrib><creatorcontrib>Van den Berg, Leonard H</creatorcontrib><creatorcontrib>Karjalainen, Juha</creatorcontrib><creatorcontrib>Withoff, Sebo</creatorcontrib><creatorcontrib>Uitterlinden, André G</creatorcontrib><creatorcontrib>Hofman, Albert</creatorcontrib><creatorcontrib>Rivadeneira, Fernando</creatorcontrib><creatorcontrib>'t Hoen, Peter A C</creatorcontrib><creatorcontrib>Reinmaa, Eva</creatorcontrib><creatorcontrib>Fischer, Krista</creatorcontrib><creatorcontrib>Nelis, Mari</creatorcontrib><creatorcontrib>Milani, Lili</creatorcontrib><creatorcontrib>Melzer, David</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Singleton, Andrew B</creatorcontrib><creatorcontrib>Hernandez, Dena G</creatorcontrib><creatorcontrib>Nalls, Michael A</creatorcontrib><creatorcontrib>Homuth, Georg</creatorcontrib><creatorcontrib>Nauck, Matthias</creatorcontrib><creatorcontrib>Radke, Dörte</creatorcontrib><creatorcontrib>Völker, Uwe</creatorcontrib><creatorcontrib>Perola, Markus</creatorcontrib><creatorcontrib>Salomaa, Veikko</creatorcontrib><creatorcontrib>Brody, Jennifer</creatorcontrib><creatorcontrib>Suchy-Dicey, Astrid</creatorcontrib><creatorcontrib>Gharib, Sina A</creatorcontrib><creatorcontrib>Enquobahrie, Daniel A</creatorcontrib><creatorcontrib>Lumley, Thomas</creatorcontrib><creatorcontrib>Montgomery, Grant W</creatorcontrib><creatorcontrib>Makino, Seiko</creatorcontrib><creatorcontrib>Prokisch, Holger</creatorcontrib><creatorcontrib>Herder, Christian</creatorcontrib><creatorcontrib>Roden, Michael</creatorcontrib><creatorcontrib>Grallert, Harald</creatorcontrib><creatorcontrib>Meitinger, Thomas</creatorcontrib><creatorcontrib>Strauch, Konstantin</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Jansen, Ritsert C</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><creatorcontrib>Knight, Julian C</creatorcontrib><creatorcontrib>Psaty, Bruce M</creatorcontrib><creatorcontrib>Ripatti, Samuli</creatorcontrib><creatorcontrib>Teumer, Alexander</creatorcontrib><creatorcontrib>Frayling, Timothy M</creatorcontrib><creatorcontrib>Metspalu, Andres</creatorcontrib><creatorcontrib>van Meurs, Joyce B J</creatorcontrib><creatorcontrib>Franke, Lude</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue 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Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</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 Basic</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Westra, Harm-Jan</au><au>Peters, Marjolein J</au><au>Esko, Tõnu</au><au>Yaghootkar, Hanieh</au><au>Schurmann, Claudia</au><au>Kettunen, Johannes</au><au>Christiansen, Mark W</au><au>Fairfax, Benjamin P</au><au>Schramm, Katharina</au><au>Powell, Joseph E</au><au>Zhernakova, Alexandra</au><au>Zhernakova, Daria V</au><au>Veldink, Jan H</au><au>Van den Berg, Leonard H</au><au>Karjalainen, Juha</au><au>Withoff, Sebo</au><au>Uitterlinden, André G</au><au>Hofman, Albert</au><au>Rivadeneira, Fernando</au><au>'t Hoen, Peter A C</au><au>Reinmaa, Eva</au><au>Fischer, Krista</au><au>Nelis, Mari</au><au>Milani, Lili</au><au>Melzer, David</au><au>Ferrucci, Luigi</au><au>Singleton, Andrew B</au><au>Hernandez, Dena G</au><au>Nalls, Michael A</au><au>Homuth, Georg</au><au>Nauck, Matthias</au><au>Radke, Dörte</au><au>Völker, Uwe</au><au>Perola, Markus</au><au>Salomaa, Veikko</au><au>Brody, Jennifer</au><au>Suchy-Dicey, Astrid</au><au>Gharib, Sina A</au><au>Enquobahrie, Daniel A</au><au>Lumley, Thomas</au><au>Montgomery, Grant W</au><au>Makino, Seiko</au><au>Prokisch, Holger</au><au>Herder, Christian</au><au>Roden, Michael</au><au>Grallert, Harald</au><au>Meitinger, Thomas</au><au>Strauch, Konstantin</au><au>Li, Yang</au><au>Jansen, Ritsert C</au><au>Visscher, Peter M</au><au>Knight, Julian C</au><au>Psaty, Bruce M</au><au>Ripatti, Samuli</au><au>Teumer, Alexander</au><au>Frayling, Timothy M</au><au>Metspalu, Andres</au><au>van Meurs, Joyce B J</au><au>Franke, Lude</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic identification of trans eQTLs as putative drivers of known disease associations</atitle><jtitle>Nature genetics</jtitle><stitle>Nat Genet</stitle><addtitle>Nat Genet</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>45</volume><issue>10</issue><spage>1238</spage><epage>1243</epage><pages>1238-1243</pages><issn>1061-4036</issn><eissn>1546-1718</eissn><abstract>Lude Franke and colleagues report the results of a large expression QTL study performed on peripheral blood samples from 5,311 individuals. They identify
trans
-eQTL effects for 103 independent loci that were previously associated with complex traits at genome-wide significance, suggesting that this approach can provide insights into the downstream effects of many trait-associated variants.
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated
trans
eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in
trans
that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE)
1
, altered gene expression of
C1QB
and five type I interferon response genes, both hallmarks of SLE
2
,
3
,
4
. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3′ UTR levels of
IKZF1
in
cis
, and chromatin immunoprecipitation and sequencing analysis of the
trans
-regulated genes implicated
IKZF1
as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>24013639</pmid><doi>10.1038/ng.2756</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-7038-567X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1061-4036 |
| ispartof | Nature genetics, 2013-10, Vol.45 (10), p.1238-1243 |
| issn | 1061-4036 1546-1718 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3991562 |
| source | MEDLINE; SpringerLink Journals; Nature Journals Online |
| subjects | 631/208/191/2018 631/208/200 631/208/205 Agriculture Animal Genetics and Genomics Binding sites Biomedicine Cancer Research Diabetes Mellitus, Type 1 - genetics Disease Gene expression Gene Function Gene mapping Genetic aspects Genetic Predisposition to Disease Genomes Human Genetics Humans Identification and classification letter Lupus Erythematosus, Systemic - genetics Meta-analysis Polymorphism, Single Nucleotide Quantitative Trait Loci Single nucleotide polymorphisms Studies Systemic lupus erythematosus |
| title | Systematic identification of trans eQTLs as putative drivers of known disease associations |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T23%3A25%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Systematic%20identification%20of%20trans%20eQTLs%20as%20putative%20drivers%20of%20known%20disease%20associations&rft.jtitle=Nature%20genetics&rft.au=Westra,%20Harm-Jan&rft.date=2013-10-01&rft.volume=45&rft.issue=10&rft.spage=1238&rft.epage=1243&rft.pages=1238-1243&rft.issn=1061-4036&rft.eissn=1546-1718&rft_id=info:doi/10.1038/ng.2756&rft_dat=%3Cgale_pubme%3EA349223858%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1450028818&rft_id=info:pmid/24013639&rft_galeid=A349223858&rfr_iscdi=true |