Skip to main content
Top
Published in: Rheumatology International 4/2014

01-04-2014 | Original Article

Variants in TNFSF4, TNFAIP3, TNIP1, BLK, SLC15A4 and UBE2L3 interact to confer risk of systemic lupus erythematosus in Chinese population

Authors: Xian-Bo Zuo, Yu-Jun Sheng, Su-Juan Hu, Jin-Ping Gao, Yang Li, Hua-Yang Tang, Xian-Fa Tang, Hui Cheng, Xian-Yong Yin, Lei-Lei Wen, Liang-Dan Sun, Sen Yang, Yong Cui, Xue-Jun Zhang

Published in: Rheumatology International | Issue 4/2014

Login to get access

Abstract

Our previous genome-wide association studies on SLE have identified several susceptibility genes involved in NF-κB signaling pathway, including TNFSF4, TNFAIP3, TNIP1, BLK, SLC15A4 and UBE2L3. The aim of this study is to investigate the association model (additive, dominant, recessive) of these genes and search for possible gene–gene interactions between them. In this study, we explored the association model of these six genes and search for possible gene–gene interactions based on identified single-nucleotide polymorphisms (SNPs) among them by using logistic regression analysis in the combined sample of 4,199 cases and 8,255 controls. The most significant association evidence was observed under recessive model for all of these SNPs. Besides, significant interactions between these SNPs were observed in this study: the TNFSF4 and TNIP1 SNPs (P adjusted = 1.68E−10), the TNFSF4 and SLC15A4 SNPs (P adjusted = 3.55E−08), the TNFSF4 and UBE2L3 SNPs (P adjusted = 8.74E−13), the TNIP1 and BLK SNPs (P adjusted = 9.45E−10), the TNIP1 and UBE2L3 SNPs (P adjusted = 8.25E−11), the TNFAIP3 and UBE2L3 SNPs (P adjusted = 3.06E−14) and the BLK and SLC15A4 SNPs (P adjusted = 4.51E−12). These results may contribute to our understanding of SLE genetic interactions and account for the additional risk of certain patients to develop SLE.
Literature
1.
go back to reference Danchenko N, Satia JA, Anthony MS (2006) Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden. Lupus 15:308–318PubMedCrossRef Danchenko N, Satia JA, Anthony MS (2006) Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden. Lupus 15:308–318PubMedCrossRef
2.
go back to reference Luan H, Li P, Cao C et al (2012) A single-nucleotide polymorphism of the STAT4 gene is associated with systemic lupus erythematosus (SLE) in female Chinese population. Rheumatol Int 32:1251–1255PubMedCrossRef Luan H, Li P, Cao C et al (2012) A single-nucleotide polymorphism of the STAT4 gene is associated with systemic lupus erythematosus (SLE) in female Chinese population. Rheumatol Int 32:1251–1255PubMedCrossRef
4.
go back to reference Fernando MM, Stevens CR, Sabeti PC et al (2007) Identification of two independent risk factors for lupus within the MHC in United Kingdom families. PLoS Genet 3:e192PubMedCentralPubMedCrossRef Fernando MM, Stevens CR, Sabeti PC et al (2007) Identification of two independent risk factors for lupus within the MHC in United Kingdom families. PLoS Genet 3:e192PubMedCentralPubMedCrossRef
5.
go back to reference Yao Z, Hartung K, Deicher HG et al (1993) DNA typing for HLA-DPB1-alleles in German patients with systemic lupus erythematosus using the polymerase chain reaction and DIG-ddUTP-labelled oligonucleotide probes. Members of SLE Study Group. Eur J Immunogenet 20:259–266PubMedCrossRef Yao Z, Hartung K, Deicher HG et al (1993) DNA typing for HLA-DPB1-alleles in German patients with systemic lupus erythematosus using the polymerase chain reaction and DIG-ddUTP-labelled oligonucleotide probes. Members of SLE Study Group. Eur J Immunogenet 20:259–266PubMedCrossRef
6.
go back to reference Hartung K, Baur MP, Coldewey R et al (1992) Major histocompatibility complex haplotypes and complement C4 alleles in systemic lupus erythematosus. Results of a multicenter study. J Clin Invest 90:1346–1351PubMedCentralPubMedCrossRef Hartung K, Baur MP, Coldewey R et al (1992) Major histocompatibility complex haplotypes and complement C4 alleles in systemic lupus erythematosus. Results of a multicenter study. J Clin Invest 90:1346–1351PubMedCentralPubMedCrossRef
7.
go back to reference Karassa FB, Trikalinos TA, Ioannidis JP (2002) Role of the Fcgamma receptor IIa polymorphism in susceptibility to systemic lupus erythematosus and lupus nephritis: a meta-analysis. Arthritis Rheum 46:1563–1571PubMedCrossRef Karassa FB, Trikalinos TA, Ioannidis JP (2002) Role of the Fcgamma receptor IIa polymorphism in susceptibility to systemic lupus erythematosus and lupus nephritis: a meta-analysis. Arthritis Rheum 46:1563–1571PubMedCrossRef
8.
go back to reference Salmon JE, Millard S, Schachter LA et al (1996) Fc gamma RIIA alleles are heritable risk factors for lupus nephritis in African Americans. J Clin Invest 97:1348–1354PubMedCentralPubMedCrossRef Salmon JE, Millard S, Schachter LA et al (1996) Fc gamma RIIA alleles are heritable risk factors for lupus nephritis in African Americans. J Clin Invest 97:1348–1354PubMedCentralPubMedCrossRef
9.
go back to reference Lee YH, Rho YH, Choi SJ et al (2007) The PTPN22 C1858T functional polymorphism and autoimmune diseases—a meta-analysis. Rheumatology (Oxford) 46:49–56CrossRef Lee YH, Rho YH, Choi SJ et al (2007) The PTPN22 C1858T functional polymorphism and autoimmune diseases—a meta-analysis. Rheumatology (Oxford) 46:49–56CrossRef
10.
go back to reference Kyogoku C, Langefeld CD, Ortmann WA et al (2004) Genetic association of the R620 W polymorphism of protein tyrosine phosphatase PTPN22 with human SLE. Am J Hum Genet 75:504–507PubMedCentralPubMedCrossRef Kyogoku C, Langefeld CD, Ortmann WA et al (2004) Genetic association of the R620 W polymorphism of protein tyrosine phosphatase PTPN22 with human SLE. Am J Hum Genet 75:504–507PubMedCentralPubMedCrossRef
11.
go back to reference Graham RR, Kyogoku C, Sigurdsson S et al (2007) Three functional variants of IFN regulatory factor 5 (IRF5) define risk and protective haplotypes for human lupus. Proc Natl Acad Sci USA 104:6758–6763PubMedCentralPubMedCrossRef Graham RR, Kyogoku C, Sigurdsson S et al (2007) Three functional variants of IFN regulatory factor 5 (IRF5) define risk and protective haplotypes for human lupus. Proc Natl Acad Sci USA 104:6758–6763PubMedCentralPubMedCrossRef
12.
go back to reference Graham RR, Kozyrev SV, Baechler EC et al (2006) A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus. Nat Genet 38:550–555PubMedCrossRef Graham RR, Kozyrev SV, Baechler EC et al (2006) A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus. Nat Genet 38:550–555PubMedCrossRef
13.
go back to reference Sigurdsson S, Nordmark G, Goring HH et al (2005) Polymorphisms in the tyrosine kinase 2 and interferon regulatory factor 5 genes are associated with systemic lupus erythematosus. Am J Hum Genet 76:528–537PubMedCentralPubMedCrossRef Sigurdsson S, Nordmark G, Goring HH et al (2005) Polymorphisms in the tyrosine kinase 2 and interferon regulatory factor 5 genes are associated with systemic lupus erythematosus. Am J Hum Genet 76:528–537PubMedCentralPubMedCrossRef
14.
15.
go back to reference Cunninghame Graham DS, Graham RR, Manku H et al (2008) Polymorphism at the TNF superfamily gene TNFSF4 confers susceptibility to systemic lupus erythematosus. Nat Genet 40:83–89PubMedCentralPubMedCrossRef Cunninghame Graham DS, Graham RR, Manku H et al (2008) Polymorphism at the TNF superfamily gene TNFSF4 confers susceptibility to systemic lupus erythematosus. Nat Genet 40:83–89PubMedCentralPubMedCrossRef
16.
go back to reference Cui Y, Sheng Y, Zhang X (2013) Genetic susceptibility to SLE: recent progress from GWAS. J Autoimmun 41:25–33PubMedCrossRef Cui Y, Sheng Y, Zhang X (2013) Genetic susceptibility to SLE: recent progress from GWAS. J Autoimmun 41:25–33PubMedCrossRef
17.
go back to reference Kim K, Brown EE, Choi CB et al (2012) Variation in the ICAM1-ICAM4-ICAM5 locus is associated with systemic lupus erythematosus susceptibility in multiple ancestries. Ann Rheum Dis 71:1809–1814PubMedCentralPubMedCrossRef Kim K, Brown EE, Choi CB et al (2012) Variation in the ICAM1-ICAM4-ICAM5 locus is associated with systemic lupus erythematosus susceptibility in multiple ancestries. Ann Rheum Dis 71:1809–1814PubMedCentralPubMedCrossRef
18.
go back to reference Castillejo-Lopez C, Delgado-Vega AM, Wojcik J et al (2012) Genetic and physical interaction of the B-cell systemic lupus erythematosus-associated genes BANK1 and BLK. Ann Rheum Dis 71:136–142PubMedCentralPubMedCrossRef Castillejo-Lopez C, Delgado-Vega AM, Wojcik J et al (2012) Genetic and physical interaction of the B-cell systemic lupus erythematosus-associated genes BANK1 and BLK. Ann Rheum Dis 71:136–142PubMedCentralPubMedCrossRef
19.
go back to reference Zhou XJ, Lu XL, Nath SK et al (2012) Gene-gene interaction of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in systemic lupus erythematosus. Arthritis Rheum 64:222–231PubMedCrossRef Zhou XJ, Lu XL, Nath SK et al (2012) Gene-gene interaction of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in systemic lupus erythematosus. Arthritis Rheum 64:222–231PubMedCrossRef
20.
go back to reference Han JW, Zheng HF, Cui Y et al (2009) Genome-wide association study in a Chinese Han population identifies nine new susceptibility loci for systemic lupus erythematosus. Nat Genet 41:1234–1237PubMedCrossRef Han JW, Zheng HF, Cui Y et al (2009) Genome-wide association study in a Chinese Han population identifies nine new susceptibility loci for systemic lupus erythematosus. Nat Genet 41:1234–1237PubMedCrossRef
21.
go back to reference Hochberg MC (1997) Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 40:1725PubMedCrossRef Hochberg MC (1997) Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 40:1725PubMedCrossRef
22.
go back to reference Ritchie MD, Hahn LW, Roodi N et al (2001) Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 69:138–147PubMedCentralPubMedCrossRef Ritchie MD, Hahn LW, Roodi N et al (2001) Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 69:138–147PubMedCentralPubMedCrossRef
23.
go back to reference Moore JH, Gilbert JC, Tsai CT et al (2006) A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J Theor Biol 241:252–261PubMedCrossRef Moore JH, Gilbert JC, Tsai CT et al (2006) A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J Theor Biol 241:252–261PubMedCrossRef
24.
go back to reference Hahn LW, Ritchie MD, Moore JH (2003) Multifactor dimensionality reduction software for detecting gene–gene and gene-environment interactions. Bioinformatics 19:376–382PubMedCrossRef Hahn LW, Ritchie MD, Moore JH (2003) Multifactor dimensionality reduction software for detecting gene–gene and gene-environment interactions. Bioinformatics 19:376–382PubMedCrossRef
25.
go back to reference Velez DR, White BC, Motsinger AA et al (2007) A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet Epidemiol 31:306–315PubMedCrossRef Velez DR, White BC, Motsinger AA et al (2007) A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet Epidemiol 31:306–315PubMedCrossRef
26.
go back to reference Cherkassky V, Ma Y (2009) Another look at statistical learning theory and regularization. Neural Netw 22:958–969PubMedCrossRef Cherkassky V, Ma Y (2009) Another look at statistical learning theory and regularization. Neural Netw 22:958–969PubMedCrossRef
27.
go back to reference Lou XY, Chen GB, Yan L et al (2007) A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence. Am J Hum Genet 80:1125–1137PubMedCentralPubMedCrossRef Lou XY, Chen GB, Yan L et al (2007) A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence. Am J Hum Genet 80:1125–1137PubMedCentralPubMedCrossRef
29.
go back to reference Mahdi H, Fisher BA, Kallberg H et al (2009) Specific interaction between genotype, smoking and autoimmunity to citrullinated alpha-enolase in the etiology of rheumatoid arthritis. Nat Genet 41:1319–1324PubMedCrossRef Mahdi H, Fisher BA, Kallberg H et al (2009) Specific interaction between genotype, smoking and autoimmunity to citrullinated alpha-enolase in the etiology of rheumatoid arthritis. Nat Genet 41:1319–1324PubMedCrossRef
30.
go back to reference Morgan AW, Thomson W, Martin SG et al (2009) Reevaluation of the interaction between HLA-DRB1 shared epitope alleles, PTPN22, and smoking in determining susceptibility to autoantibody-positive and autoantibody-negative rheumatoid arthritis in a large UK Caucasian population. Arthritis Rheum 60:2565–2576PubMedCrossRef Morgan AW, Thomson W, Martin SG et al (2009) Reevaluation of the interaction between HLA-DRB1 shared epitope alleles, PTPN22, and smoking in determining susceptibility to autoantibody-positive and autoantibody-negative rheumatoid arthritis in a large UK Caucasian population. Arthritis Rheum 60:2565–2576PubMedCrossRef
31.
go back to reference Perdigones N, Vigo AG, Lamas JR et al (2010) Evidence of epistasis between TNFRSF14 and TNFRSF6B polymorphisms in patients with rheumatoid arthritis. Arthritis Rheum 62:705–710PubMedCrossRef Perdigones N, Vigo AG, Lamas JR et al (2010) Evidence of epistasis between TNFRSF14 and TNFRSF6B polymorphisms in patients with rheumatoid arthritis. Arthritis Rheum 62:705–710PubMedCrossRef
32.
go back to reference Kallberg H, Padyukov L, Plenge RM et al (2007) Gene-gene and gene-environment interactions involving HLA-DRB1, PTPN22, and smoking in two subsets of rheumatoid arthritis. Am J Hum Genet 80:867–875PubMedCentralPubMedCrossRef Kallberg H, Padyukov L, Plenge RM et al (2007) Gene-gene and gene-environment interactions involving HLA-DRB1, PTPN22, and smoking in two subsets of rheumatoid arthritis. Am J Hum Genet 80:867–875PubMedCentralPubMedCrossRef
33.
34.
go back to reference Boone DL, Turer EE, Lee EG et al (2004) The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responses. Nat Immunol 5:1052–1060PubMedCrossRef Boone DL, Turer EE, Lee EG et al (2004) The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responses. Nat Immunol 5:1052–1060PubMedCrossRef
35.
go back to reference Wertz IE, O’Rourke KM, Zhou H et al (2004) De-ubiquitination and ubiquitin ligase domains of A20 downregulate NF-kappaB signalling. Nature 430:694–699PubMedCrossRef Wertz IE, O’Rourke KM, Zhou H et al (2004) De-ubiquitination and ubiquitin ligase domains of A20 downregulate NF-kappaB signalling. Nature 430:694–699PubMedCrossRef
36.
go back to reference Beyaert R, Heyninck K, Van Huffel S (2000) A20 and A20-binding proteins as cellular inhibitors of nuclear factor-kappa B-dependent gene expression and apoptosis. Biochem Pharmacol 60:1143–1151PubMedCrossRef Beyaert R, Heyninck K, Van Huffel S (2000) A20 and A20-binding proteins as cellular inhibitors of nuclear factor-kappa B-dependent gene expression and apoptosis. Biochem Pharmacol 60:1143–1151PubMedCrossRef
37.
go back to reference Saijo K, Schmedt C, Su IH et al (2003) Essential role of Src-family protein tyrosine kinases in NF-kappaB activation during B cell development. Nat Immunol 4:274–279PubMedCrossRef Saijo K, Schmedt C, Su IH et al (2003) Essential role of Src-family protein tyrosine kinases in NF-kappaB activation during B cell development. Nat Immunol 4:274–279PubMedCrossRef
38.
go back to reference Lee J, Tattoli I, Wojtal KA et al (2009) pH-dependent internalization of muramyl peptides from early endosomes enables Nod1 and Nod2 signaling. J Biol Chem 284:23818–23829PubMedCentralPubMedCrossRef Lee J, Tattoli I, Wojtal KA et al (2009) pH-dependent internalization of muramyl peptides from early endosomes enables Nod1 and Nod2 signaling. J Biol Chem 284:23818–23829PubMedCentralPubMedCrossRef
39.
go back to reference Orian A, Whiteside S, Israel A et al (1995) Ubiquitin-mediated processing of NF-kappa B transcriptional activator precursor p105. Reconstitution of a cell-free system and identification of the ubiquitin-carrier protein, E2, and a novel ubiquitin-protein ligase, E3, involved in conjugation. J Biol Chem 270:21707–21714PubMedCrossRef Orian A, Whiteside S, Israel A et al (1995) Ubiquitin-mediated processing of NF-kappa B transcriptional activator precursor p105. Reconstitution of a cell-free system and identification of the ubiquitin-carrier protein, E2, and a novel ubiquitin-protein ligase, E3, involved in conjugation. J Biol Chem 270:21707–21714PubMedCrossRef
40.
go back to reference Orozco G, Eyre S, Hinks A et al (2011) Study of the common genetic background for rheumatoid arthritis and systemic lupus erythematosus. Ann Rheum Dis 70:463–468PubMedCentralPubMedCrossRef Orozco G, Eyre S, Hinks A et al (2011) Study of the common genetic background for rheumatoid arthritis and systemic lupus erythematosus. Ann Rheum Dis 70:463–468PubMedCentralPubMedCrossRef
41.
go back to reference Fransen K, Visschedijk MC, van Sommeren S et al (2010) Analysis of SNPs with an effect on gene expression identifies UBE2L3 and BCL3 as potential new risk genes for Crohn’s disease. Hum Mol Genet 19:3482–3488PubMedCrossRef Fransen K, Visschedijk MC, van Sommeren S et al (2010) Analysis of SNPs with an effect on gene expression identifies UBE2L3 and BCL3 as potential new risk genes for Crohn’s disease. Hum Mol Genet 19:3482–3488PubMedCrossRef
Metadata
Title
Variants in TNFSF4, TNFAIP3, TNIP1, BLK, SLC15A4 and UBE2L3 interact to confer risk of systemic lupus erythematosus in Chinese population
Authors
Xian-Bo Zuo
Yu-Jun Sheng
Su-Juan Hu
Jin-Ping Gao
Yang Li
Hua-Yang Tang
Xian-Fa Tang
Hui Cheng
Xian-Yong Yin
Lei-Lei Wen
Liang-Dan Sun
Sen Yang
Yong Cui
Xue-Jun Zhang
Publication date
01-04-2014
Publisher
Springer Berlin Heidelberg
Published in
Rheumatology International / Issue 4/2014
Print ISSN: 0172-8172
Electronic ISSN: 1437-160X
DOI
https://doi.org/10.1007/s00296-013-2864-3

Other articles of this Issue 4/2014

Rheumatology International 4/2014 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.