Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13073-016-0329-5
Title: Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network
Authors: Richard, A.C
Peters, J.E
Lee, J.C
Vahedi, G
Schäffer, A.A
Siegel, R.M
Lyons, P.A
Smith, K.G.C 
Keywords: tumor necrosis factor
tumor necrosis factor receptor
chromatin
isoprotein
tumor necrosis factor
tumor necrosis factor receptor
Article
autoimmune disease
autoinflammatory disease
CD4+ T lymphocyte
CD8+ T lymphocyte
chromatin
controlled study
enhancer region
gene expression
genetic marker
genetic variability
genome-wide association study
genomics
human
human cell
leukocyte
monocyte
neutrophil
priority journal
quantitative trait locus
single nucleotide polymorphism
allele
Autoimmune Diseases
chemistry
gene expression regulation
gene regulatory network
genetic predisposition
genetics
Hereditary Autoinflammatory Diseases
human genome
immunology
mononuclear cell
pathology
quantitative trait locus
risk
signal transduction
Alleles
Autoimmune Diseases
Chromatin
Gene Expression Regulation
Gene Regulatory Networks
Genetic Predisposition to Disease
Genome, Human
Genome-Wide Association Study
Hereditary Autoinflammatory Diseases
Humans
Leukocytes, Mononuclear
Protein Isoforms
Quantitative Trait Loci
Receptors, Tumor Necrosis Factor
Risk
Signal Transduction
Tumor Necrosis Factor-alpha
Issue Date: 2016
Citation: Richard, A.C, Peters, J.E, Lee, J.C, Vahedi, G, Schäffer, A.A, Siegel, R.M, Lyons, P.A, Smith, K.G.C (2016). Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network. Genome Medicine 8 (1) : 76. ScholarBank@NUS Repository. https://doi.org/10.1186/s13073-016-0329-5
Rights: Attribution 4.0 International
Abstract: Background: Tumour necrosis factor (TNF) superfamily cytokines and their receptors regulate diverse immune system functions through a common set of signalling pathways. Genetic variants in and expression of individual TNF superfamily cytokines, receptors and signalling proteins have been associated with autoimmune and inflammatory diseases, but their interconnected biology has been largely unexplored. Methods: We took a hypothesis-driven approach using available genome-wide datasets to identify genetic variants regulating gene expression in the TNF superfamily cytokine signalling network and the association of these variants with autoimmune and autoinflammatory disease. Using paired gene expression and genetic data, we identified genetic variants associated with gene expression, expression quantitative trait loci (eQTLs), in four peripheral blood cell subsets. We then examined whether eQTLs were dependent on gene expression level or the presence of active enhancer chromatin marks. Using these eQTLs as genetic markers of the TNF superfamily signalling network, we performed targeted gene set association analysis in eight autoimmune and autoinflammatory disease genome-wide association studies. Results: Comparison of TNF superfamily network gene expression and regulatory variants across four leucocyte subsets revealed patterns that differed between cell types. eQTLs for genes in this network were not dependent on absolute gene expression levels and were not enriched for chromatin marks of active enhancers. By examining autoimmune disease risk variants among our eQTLs, we found that risk alleles can be associated with either increased or decreased expression of co-stimulatory TNF superfamily cytokines, receptors or downstream signalling molecules. Gene set disease association analysis revealed that eQTLs for genes in the TNF superfamily pathway were associated with six of the eight autoimmune and autoinflammatory diseases examined, demonstrating associations beyond single genome-wide significant hits. Conclusions: This systematic analysis of the influence of regulatory genetic variants in the TNF superfamily network reveals widespread and diverse roles for these cytokines in susceptibility to a number of immune-mediated diseases. © 2016 The Author(s).
Source Title: Genome Medicine
URI: https://scholarbank.nus.edu.sg/handle/10635/179921
ISSN: 1756994X
DOI: 10.1186/s13073-016-0329-5
Rights: Attribution 4.0 International
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