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Cell Specific eQTL Analysis without Sorting Cells
The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-envir...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425538/ https://www.ncbi.nlm.nih.gov/pubmed/25955312 http://dx.doi.org/10.1371/journal.pgen.1005223 |
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author | Westra, Harm-Jan Arends, Danny Esko, Tõnu Peters, Marjolein J. Schurmann, Claudia Schramm, Katharina Kettunen, Johannes Yaghootkar, Hanieh Fairfax, Benjamin P. Andiappan, Anand Kumar Li, Yang Fu, Jingyuan Karjalainen, Juha Platteel, Mathieu Visschedijk, Marijn Weersma, Rinse K. Kasela, Silva Milani, Lili Tserel, Liina Peterson, Pärt Reinmaa, Eva Hofman, Albert Uitterlinden, André G. Rivadeneira, Fernando Homuth, Georg Petersmann, Astrid Lorbeer, Roberto Prokisch, Holger Meitinger, Thomas Herder, Christian Roden, Michael Grallert, Harald Ripatti, Samuli Perola, Markus Wood, Andrew R. Melzer, David Ferrucci, Luigi Singleton, Andrew B. Hernandez, Dena G. Knight, Julian C. Melchiotti, Rossella Lee, Bernett Poidinger, Michael Zolezzi, Francesca Larbi, Anis Wang, De Yun van den Berg, Leonard H. Veldink, Jan H. Rotzschke, Olaf Makino, Seiko Salomaa, Veikko Strauch, Konstantin Völker, Uwe van Meurs, Joyce B. J. Metspalu, Andres Wijmenga, Cisca Jansen, Ritsert C. Franke, Lude |
author_facet | Westra, Harm-Jan Arends, Danny Esko, Tõnu Peters, Marjolein J. Schurmann, Claudia Schramm, Katharina Kettunen, Johannes Yaghootkar, Hanieh Fairfax, Benjamin P. Andiappan, Anand Kumar Li, Yang Fu, Jingyuan Karjalainen, Juha Platteel, Mathieu Visschedijk, Marijn Weersma, Rinse K. Kasela, Silva Milani, Lili Tserel, Liina Peterson, Pärt Reinmaa, Eva Hofman, Albert Uitterlinden, André G. Rivadeneira, Fernando Homuth, Georg Petersmann, Astrid Lorbeer, Roberto Prokisch, Holger Meitinger, Thomas Herder, Christian Roden, Michael Grallert, Harald Ripatti, Samuli Perola, Markus Wood, Andrew R. Melzer, David Ferrucci, Luigi Singleton, Andrew B. Hernandez, Dena G. Knight, Julian C. Melchiotti, Rossella Lee, Bernett Poidinger, Michael Zolezzi, Francesca Larbi, Anis Wang, De Yun van den Berg, Leonard H. Veldink, Jan H. Rotzschke, Olaf Makino, Seiko Salomaa, Veikko Strauch, Konstantin Völker, Uwe van Meurs, Joyce B. J. Metspalu, Andres Wijmenga, Cisca Jansen, Ritsert C. Franke, Lude |
author_sort | Westra, Harm-Jan |
collection | PubMed |
description | The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-environment interaction (GxE) meta-analysis on data from 5,683 samples to infer the cell type specificity of whole blood cis-eQTLs. We demonstrate that this method is able to predict neutrophil and lymphocyte specific cis-eQTLs and replicate these predictions in independent cell-type specific datasets. Finally, we show that SNPs associated with Crohn’s disease preferentially affect gene expression within neutrophils, including the archetypal NOD2 locus. |
format | Online Article Text |
id | pubmed-4425538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44255382015-05-21 Cell Specific eQTL Analysis without Sorting Cells Westra, Harm-Jan Arends, Danny Esko, Tõnu Peters, Marjolein J. Schurmann, Claudia Schramm, Katharina Kettunen, Johannes Yaghootkar, Hanieh Fairfax, Benjamin P. Andiappan, Anand Kumar Li, Yang Fu, Jingyuan Karjalainen, Juha Platteel, Mathieu Visschedijk, Marijn Weersma, Rinse K. Kasela, Silva Milani, Lili Tserel, Liina Peterson, Pärt Reinmaa, Eva Hofman, Albert Uitterlinden, André G. Rivadeneira, Fernando Homuth, Georg Petersmann, Astrid Lorbeer, Roberto Prokisch, Holger Meitinger, Thomas Herder, Christian Roden, Michael Grallert, Harald Ripatti, Samuli Perola, Markus Wood, Andrew R. Melzer, David Ferrucci, Luigi Singleton, Andrew B. Hernandez, Dena G. Knight, Julian C. Melchiotti, Rossella Lee, Bernett Poidinger, Michael Zolezzi, Francesca Larbi, Anis Wang, De Yun van den Berg, Leonard H. Veldink, Jan H. Rotzschke, Olaf Makino, Seiko Salomaa, Veikko Strauch, Konstantin Völker, Uwe van Meurs, Joyce B. J. Metspalu, Andres Wijmenga, Cisca Jansen, Ritsert C. Franke, Lude PLoS Genet Research Article The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-environment interaction (GxE) meta-analysis on data from 5,683 samples to infer the cell type specificity of whole blood cis-eQTLs. We demonstrate that this method is able to predict neutrophil and lymphocyte specific cis-eQTLs and replicate these predictions in independent cell-type specific datasets. Finally, we show that SNPs associated with Crohn’s disease preferentially affect gene expression within neutrophils, including the archetypal NOD2 locus. Public Library of Science 2015-05-08 /pmc/articles/PMC4425538/ /pubmed/25955312 http://dx.doi.org/10.1371/journal.pgen.1005223 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Westra, Harm-Jan Arends, Danny Esko, Tõnu Peters, Marjolein J. Schurmann, Claudia Schramm, Katharina Kettunen, Johannes Yaghootkar, Hanieh Fairfax, Benjamin P. Andiappan, Anand Kumar Li, Yang Fu, Jingyuan Karjalainen, Juha Platteel, Mathieu Visschedijk, Marijn Weersma, Rinse K. Kasela, Silva Milani, Lili Tserel, Liina Peterson, Pärt Reinmaa, Eva Hofman, Albert Uitterlinden, André G. Rivadeneira, Fernando Homuth, Georg Petersmann, Astrid Lorbeer, Roberto Prokisch, Holger Meitinger, Thomas Herder, Christian Roden, Michael Grallert, Harald Ripatti, Samuli Perola, Markus Wood, Andrew R. Melzer, David Ferrucci, Luigi Singleton, Andrew B. Hernandez, Dena G. Knight, Julian C. Melchiotti, Rossella Lee, Bernett Poidinger, Michael Zolezzi, Francesca Larbi, Anis Wang, De Yun van den Berg, Leonard H. Veldink, Jan H. Rotzschke, Olaf Makino, Seiko Salomaa, Veikko Strauch, Konstantin Völker, Uwe van Meurs, Joyce B. J. Metspalu, Andres Wijmenga, Cisca Jansen, Ritsert C. Franke, Lude Cell Specific eQTL Analysis without Sorting Cells |
title | Cell Specific eQTL Analysis without Sorting Cells |
title_full | Cell Specific eQTL Analysis without Sorting Cells |
title_fullStr | Cell Specific eQTL Analysis without Sorting Cells |
title_full_unstemmed | Cell Specific eQTL Analysis without Sorting Cells |
title_short | Cell Specific eQTL Analysis without Sorting Cells |
title_sort | cell specific eqtl analysis without sorting cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425538/ https://www.ncbi.nlm.nih.gov/pubmed/25955312 http://dx.doi.org/10.1371/journal.pgen.1005223 |
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