Gene-gene interaction of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in systemic lupus erythematosus

Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene–gene interactions need to be further investigated. Rec...

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Published inArthritis & rheumatology (Hoboken, N.J.) Vol. 64; no. 1; pp. 222 - 231
Main Authors Zhou, Xu-jie, Lu, Xiao-lan, Nath, Swapan K., Lv, Ji-cheng, Zhu, Sai-nan, Yang, Hai-zhen, Qin, Lian-xiang, Zhao, Ming-hui, Su, Yin, Shen, Nan, Li, Zhan-guo, Zhang, Hong
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.01.2012
Wiley
Wiley Subscription Services, Inc
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Online AccessGet full text
ISSN0004-3591
2326-5191
1529-0131
1529-0131
2326-5205
DOI10.1002/art.33318

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Abstract Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene–gene interactions need to be further investigated. Recent genome‐wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF‐κB signaling pathway. The aim of this study was to search for possible gene–gene interactions based on identified single‐nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways. Methods The SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2 × 2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation. Results Single‐marker analysis validated the association of BLK rs2736340 (P = 4.25 × 10−6) as well as TNFSF4 rs2205960 (P = 2.82 × 10−5) and TNFAIP3 rs5029939 (P = 1.92 × 10−3) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P = 6.57 × 10−4). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P = 2.18 × 10−3) and Caucasians (P = 2.86 × 10−4). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased. Conclusion The results of this study provide evidence of the possible gene–gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF‐κB pathway in determining immunologic aberration.
AbstractList Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene-gene interactions need to be further investigated. Recent genome-wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF-[kappa]B signaling pathway. The aim of this study was to search for possible gene-gene interactions based on identified single-nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways. Methods The SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2 × 2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation. Results Single-marker analysis validated the association of BLK rs2736340 (P = 4.25 × 10-6) as well as TNFSF4 rs2205960 (P = 2.82 × 10-5) and TNFAIP3 rs5029939 (P = 1.92 × 10-3) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P = 6.57 × 10-4). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P = 2.18 × 10-3) and Caucasians (P = 2.86 × 10-4). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased. Conclusion The results of this study provide evidence of the possible gene-gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF-[kappa]B pathway in determining immunologic aberration. [PUBLICATION ABSTRACT]
Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene-gene interactions need to be further investigated. Recent genome-wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF-κB signaling pathway. The aim of this study was to search for possible gene-gene interactions based on identified single-nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways.OBJECTIVEAlthough the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene-gene interactions need to be further investigated. Recent genome-wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF-κB signaling pathway. The aim of this study was to search for possible gene-gene interactions based on identified single-nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways.The SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2×2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation.METHODSThe SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2×2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation.Single-marker analysis validated the association of BLK rs2736340 (P=4.25×10(-6)) as well as TNFSF4 rs2205960 (P=2.82×10(-5)) and TNFAIP3 rs5029939 (P=1.92×10(-3)) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P=6.57×10(-4)). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P=2.18×10(-3)) and Caucasians (P=2.86×10(-4)). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased.RESULTSSingle-marker analysis validated the association of BLK rs2736340 (P=4.25×10(-6)) as well as TNFSF4 rs2205960 (P=2.82×10(-5)) and TNFAIP3 rs5029939 (P=1.92×10(-3)) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P=6.57×10(-4)). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P=2.18×10(-3)) and Caucasians (P=2.86×10(-4)). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased.The results of this study provide evidence of the possible gene-gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF-κB pathway in determining immunologic aberration.CONCLUSIONThe results of this study provide evidence of the possible gene-gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF-κB pathway in determining immunologic aberration.
Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene–gene interactions need to be further investigated. Recent genome‐wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF‐κB signaling pathway. The aim of this study was to search for possible gene–gene interactions based on identified single‐nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways. Methods The SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2 × 2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation. Results Single‐marker analysis validated the association of BLK rs2736340 (P = 4.25 × 10−6) as well as TNFSF4 rs2205960 (P = 2.82 × 10−5) and TNFAIP3 rs5029939 (P = 1.92 × 10−3) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P = 6.57 × 10−4). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P = 2.18 × 10−3) and Caucasians (P = 2.86 × 10−4). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased. Conclusion The results of this study provide evidence of the possible gene–gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF‐κB pathway in determining immunologic aberration.
Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years, refinement of these associations is required, and their potential roles in gene-gene interactions need to be further investigated. Recent genome-wide association studies (GWAS) in SLE have produced renewed interest in B cell/T cell responses and the NF-κB signaling pathway. The aim of this study was to search for possible gene-gene interactions based on identified single-nucleotide polymorphisms (SNPs), in using an approach based on the role of signaling pathways. The SNPs in BLK, TNFSF4, TRAF1, TNFAIP3, and REL were replicated in order to evaluate genetic associations with SLE. TaqMan genotyping was conducted in 804 Chinese patients with SLE and 722 matched control subjects. A multiple logistic regression model was used to estimate the multiplicative interaction effect of the SNPs, and additive interactions were analyzed by 2×2 factorial designs. Data from a previously published GWAS conducted by the International Consortium on the Genetics of Systemic Lupus Erythematosus were derived for comparison and validation. Single-marker analysis validated the association of BLK rs2736340 (P=4.25×10(-6)) as well as TNFSF4 rs2205960 (P=2.82×10(-5)) and TNFAIP3 rs5029939 (P=1.92×10(-3)) with SLE susceptibility in Chinese. Multiplicative interaction analysis indicated that BLK had an interactive effect with TNFSF4 in Chinese patients with SLE (P=6.57×10(-4)). Additive interaction analysis revealed interactions between TRAF1 and TNFAIP3 in both Chinese (P=2.18×10(-3)) and Caucasians (P=2.86×10(-4)). In addition, multiple tendencies toward interactions were observed, and an additive effect was observed as the number of risk genotypes increased. The results of this study provide evidence of the possible gene-gene interactions of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in SLE, which may represent a synergic effect of T cells and B cells through the NF-κB pathway in determining immunologic aberration.
Author Su, Yin
Lv, Ji-cheng
Zhu, Sai-nan
Nath, Swapan K.
Li, Zhan-guo
Qin, Lian-xiang
Lu, Xiao-lan
Zhang, Hong
Zhou, Xu-jie
Shen, Nan
Zhao, Ming-hui
Yang, Hai-zhen
AuthorAffiliation 4 Peking University First Hospital, Beijing, China
3 Oklahoma Medical Research Foundation, Oklahoma City
5 Joint Molecular Rheumatology Laboratory of the Institute of Health Sciences and Shanghai Renji Hospital, Shanghai JiaoTong University School of Medicine and Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
1 Peking University First Hospital, Peking University Institute of Nephrology, and Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
2 Peking University People's Hospital, Beijing, China
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Copyright Copyright © 2012 by the American College of Rheumatology
2015 INIST-CNRS
Copyright © 2012 by the American College of Rheumatology.
2012, American College of Rheumatology 2012
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Issue 1
Keywords Immunopathology
Connective tissue disease
Skin disease
Systemic lupus erythematosus
Systemic disease
Rheumatology
Autoimmune disease
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
CC BY 4.0
Copyright © 2012 by the American College of Rheumatology.
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Foundation of the Ministry of Health of China - No. 200802052
National Natural Science Foundation of China - No. 30801022; No. 30825021
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PublicationTitle Arthritis & rheumatology (Hoboken, N.J.)
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References_xml – reference: Mahdi H, Fisher BA, Kallberg H, Plant D, Malmstrom V, Ronnelid J, et al. Specific interaction between genotype, smoking and autoimmunity to citrullinated α-enolase in the etiology of rheumatoid arthritis. Nat Genet 2009; 41: 1319-24.
– reference: Iles MM. The impact of incomplete linkage disequilibrium and genetic model choice on the analysis and interpretation of genome-wide association studies. Ann Hum Genet 2010; 74: 375-9.
– reference: Lewis CM. Genetic association studies: design, analysis and interpretation. Brief Bioinform 2002; 3: 146-53.
– reference: Thu YM, Richmond A. NF-κB inducing kinase: a key regulator in the immune system and in cancer. Cytokine Growth Factor Rev 2010; 21: 213-26.
– reference: Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature 2009; 461: 747-53.
– reference: Hom G, Graham RR, Modrek B, Taylor KE, Ortmann W, Garnier S, et al. Association of systemic lupus erythematosus with C8orf13-BLK and ITGAM-ITGAX. N Engl J Med 2008; 358: 900-9.
– reference: Goh KI, Cusick ME, Valle D, Childs B, Vidal M, Barabasi AL. The human disease network. Proc Natl Acad Sci U S A 2007; 104: 8685-90.
– reference: Yang W, Shen N, Ye DQ, Liu Q, Zhang Y, Qian XX, et al. Genome-wide association study in Asian populations identifies variants in ETS1 and WDFY4 associated with systemic lupus erythematosus. PLoS Genet 2010; 6: e1000841.
– reference: Hochberg MC, for the Diagnostic and Therapeutic Criteria Committee of the American College of Rheumatology. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus [letter]. Arthritis Rheum 1997; 40: 1725.
– reference: Tan EM, Cohen AS, Fries JF, Masi AT, McShane DJ, Rothfield NF, et al. The 1982 revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 1982; 25: 1271-7.
– reference: Graham RR, Hom G, Ortmann W, Behrens TW. Review of recent genome-wide association scans in lupus. J Intern Med 2009; 265: 680-8.
– reference: Wang YH, Liu YJ. OX40-OX40L interactions: a promising therapeutic target for allergic diseases? J Clin Invest 2007; 117: 3655-7.
– reference: Saijo K, Schmedt C, Su IH, Karasuyama H, Lowell CA, Reth M, et al. Essential role of Src-family protein tyrosine kinases in NF-κB activation during B cell development. Nat Immunol 2003; 4: 274-9.
– reference: Bates JS, Lessard CJ, Leon JM, Nguyen T, Battiest LJ, Rodgers J, et al. Meta-analysis and imputation identifies a 109 kb risk haplotype spanning TNFAIP3 associated with lupus nephritis and hematologic manifestations. Genes Immun 2009; 10: 470-7.
– reference: Eyre S, Hinks A, Flynn E, Martin P, Wilson AG, Maxwell JR, et al. Confirmation of association of the REL locus with rheumatoid arthritis susceptibility in the UK population. Ann Rheum Dis 2010; 69: 1572-3.
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Snippet Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few...
Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few years,...
Objective Although the number of convincingly established genetic associations with systemic lupus erythematosus (SLE) has increased sharply over the last few...
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StartPage 222
SubjectTerms Adult
Asian Continental Ancestry Group - genetics
Biological and medical sciences
Diseases of the osteoarticular system
DNA-Binding Proteins
Epistasis, Genetic - physiology
Female
Genetic Predisposition to Disease - genetics
Genome-Wide Association Study
Genotype
Humans
Intracellular Signaling Peptides and Proteins - genetics
Lupus Erythematosus, Systemic - genetics
Male
Medical sciences
Nuclear Proteins - genetics
OX40 Ligand - genetics
Polymorphism, Single Nucleotide
Proto-Oncogene Proteins c-rel - genetics
Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis
Signal Transduction
src-Family Kinases - genetics
TNF Receptor-Associated Factor 1 - genetics
Tumor Necrosis Factor alpha-Induced Protein 3
Title Gene-gene interaction of BLK, TNFSF4, TRAF1, TNFAIP3, and REL in systemic lupus erythematosus
URI https://api.istex.fr/ark:/67375/WNG-Q4D8CW0R-P/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fart.33318
https://www.ncbi.nlm.nih.gov/pubmed/21905002
https://www.proquest.com/docview/1517096451
https://www.proquest.com/docview/914671856
https://pubmed.ncbi.nlm.nih.gov/PMC3994469
Volume 64
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