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Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease

Genome-wide association studies (GWAS) have transformed our understanding of the genetics of complex traits such as autoimmune diseases, but how risk variants contribute to pathogenesis remains largely unknown. Identifying genetic variants that affect gene expression (expression quantitative trait l...

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Autores principales: Peters, James E., Lyons, Paul A., Lee, James C., Richard, Arianne C., Fortune, Mary D., Newcombe, Paul J., Richardson, Sylvia, Smith, Kenneth G. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807835/
https://www.ncbi.nlm.nih.gov/pubmed/27015630
http://dx.doi.org/10.1371/journal.pgen.1005908
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author Peters, James E.
Lyons, Paul A.
Lee, James C.
Richard, Arianne C.
Fortune, Mary D.
Newcombe, Paul J.
Richardson, Sylvia
Smith, Kenneth G. C.
author_facet Peters, James E.
Lyons, Paul A.
Lee, James C.
Richard, Arianne C.
Fortune, Mary D.
Newcombe, Paul J.
Richardson, Sylvia
Smith, Kenneth G. C.
author_sort Peters, James E.
collection PubMed
description Genome-wide association studies (GWAS) have transformed our understanding of the genetics of complex traits such as autoimmune diseases, but how risk variants contribute to pathogenesis remains largely unknown. Identifying genetic variants that affect gene expression (expression quantitative trait loci, or eQTLs) is crucial to addressing this. eQTLs vary between tissues and following in vitro cellular activation, but have not been examined in the context of human inflammatory diseases. We performed eQTL mapping in five primary immune cell types from patients with active inflammatory bowel disease (n = 91), anti-neutrophil cytoplasmic antibody-associated vasculitis (n = 46) and healthy controls (n = 43), revealing eQTLs present only in the context of active inflammatory disease. Moreover, we show that following treatment a proportion of these eQTLs disappear. Through joint analysis of expression data from multiple cell types, we reveal that previous estimates of eQTL immune cell-type specificity are likely to have been exaggerated. Finally, by analysing gene expression data from multiple cell types, we find eQTLs not previously identified by database mining at 34 inflammatory bowel disease-associated loci. In summary, this parallel eQTL analysis in multiple leucocyte subsets from patients with active disease provides new insights into the genetic basis of immune-mediated diseases.
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spelling pubmed-48078352016-04-05 Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease Peters, James E. Lyons, Paul A. Lee, James C. Richard, Arianne C. Fortune, Mary D. Newcombe, Paul J. Richardson, Sylvia Smith, Kenneth G. C. PLoS Genet Research Article Genome-wide association studies (GWAS) have transformed our understanding of the genetics of complex traits such as autoimmune diseases, but how risk variants contribute to pathogenesis remains largely unknown. Identifying genetic variants that affect gene expression (expression quantitative trait loci, or eQTLs) is crucial to addressing this. eQTLs vary between tissues and following in vitro cellular activation, but have not been examined in the context of human inflammatory diseases. We performed eQTL mapping in five primary immune cell types from patients with active inflammatory bowel disease (n = 91), anti-neutrophil cytoplasmic antibody-associated vasculitis (n = 46) and healthy controls (n = 43), revealing eQTLs present only in the context of active inflammatory disease. Moreover, we show that following treatment a proportion of these eQTLs disappear. Through joint analysis of expression data from multiple cell types, we reveal that previous estimates of eQTL immune cell-type specificity are likely to have been exaggerated. Finally, by analysing gene expression data from multiple cell types, we find eQTLs not previously identified by database mining at 34 inflammatory bowel disease-associated loci. In summary, this parallel eQTL analysis in multiple leucocyte subsets from patients with active disease provides new insights into the genetic basis of immune-mediated diseases. Public Library of Science 2016-03-25 /pmc/articles/PMC4807835/ /pubmed/27015630 http://dx.doi.org/10.1371/journal.pgen.1005908 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Peters, James E.
Lyons, Paul A.
Lee, James C.
Richard, Arianne C.
Fortune, Mary D.
Newcombe, Paul J.
Richardson, Sylvia
Smith, Kenneth G. C.
Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title_full Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title_fullStr Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title_full_unstemmed Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title_short Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
title_sort insight into genotype-phenotype associations through eqtl mapping in multiple cell types in health and immune-mediated disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807835/
https://www.ncbi.nlm.nih.gov/pubmed/27015630
http://dx.doi.org/10.1371/journal.pgen.1005908
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