Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pgen.1005908
DC FieldValue
dc.titleInsight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
dc.contributor.authorPeters J.E.
dc.contributor.authorLyons P.A.
dc.contributor.authorLee J.C.
dc.contributor.authorRichard A.C.
dc.contributor.authorFortune M.D.
dc.contributor.authorNewcombe P.J.
dc.contributor.authorRichardson S.
dc.contributor.authorSmith K.G.C.
dc.date.accessioned2019-11-08T08:44:44Z
dc.date.available2019-11-08T08:44:44Z
dc.date.issued2016
dc.identifier.citationPeters J.E., Lyons P.A., Lee J.C., Richard A.C., Fortune M.D., Newcombe P.J., Richardson S., Smith K.G.C. (2016). Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease. PLoS Genetics 12 (3) : e1005908. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pgen.1005908
dc.identifier.issn15537390
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/161919
dc.description.abstractGenome-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. ? 2016, Public Library of Science. All Rights Reserved.
dc.rightsCC0 1.0 Universal
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.sourceUnpaywall 20191101
dc.subjectgenomic DNA
dc.subjectadult
dc.subjectANCA associated vasculitis
dc.subjectArticle
dc.subjectB lymphocyte
dc.subjectCD4+ T lymphocyte
dc.subjectCD8+ T lymphocyte
dc.subjectcontrolled study
dc.subjectCrohn disease
dc.subjectgene expression
dc.subjectgenetic association
dc.subjectgenetic variability
dc.subjectgenotype
dc.subjectgenotype phenotype correlation
dc.subjecthuman
dc.subjecthuman cell
dc.subjectimmunocompetent cell
dc.subjectimmunopathology
dc.subjectmajor clinical study
dc.subjectmonocyte
dc.subjectneutrophil
dc.subjectquantitative trait locus mapping
dc.subjectulcerative colitis
dc.subjectfemale
dc.subjectgene expression regulation
dc.subjectgenetic association study
dc.subjectgenetic predisposition
dc.subjectgenetics
dc.subjectgenome-wide association study
dc.subjectimmunology
dc.subjectinflammatory bowel disease
dc.subjectmale
dc.subjectmetabolism
dc.subjectpathology
dc.subjectphenotype
dc.subjectquantitative trait locus
dc.subjectT lymphocyte
dc.subjectAnti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis
dc.subjectFemale
dc.subjectGene Expression Regulation
dc.subjectGenetic Association Studies
dc.subjectGenetic Predisposition to Disease
dc.subjectGenome-Wide Association Study
dc.subjectHumans
dc.subjectInflammatory Bowel Diseases
dc.subjectMale
dc.subjectMonocytes
dc.subjectNeutrophils
dc.subjectPhenotype
dc.subjectQuantitative Trait Loci
dc.subjectT-Lymphocytes
dc.typeArticle
dc.contributor.departmentMEDICINE
dc.description.doi10.1371/journal.pgen.1005908
dc.description.sourcetitlePLoS Genetics
dc.description.volume12
dc.description.issue3
dc.description.pagee1005908
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