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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 |
Appears in Collections: | Staff Publications Elements |
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