{"title":"IL-21基因变异与吸烟状况相互作用对类风湿关节炎易感性的影响","authors":"Xiang Lu, Yuan Xue, Shanle Yan","doi":"10.1186/s12920-025-02217-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In recent years, interleukin-21 (IL-21) has been found to be a key player in RA pathogenesis and progression, despite accumulating evidence on rheumatoid arthritis (RA) etiology, the precise contribution of IL-21 gene variants interacting with environmental exposures remains unexplored in population-based studies. Therefore, we performed this study to evaluate the impact of gene single nucleotide polymorphisms (SNPs) and their interaction with environment on RA risk.</p><p><strong>Methods: </strong>In this study, Genomic DNA was extracted from whole blood samples (Invitrogen PureLink™ Genomic DNA Mini Kit), and targeted genotyping of four SNPs (rs2055979, rs12508721, rs2221903 and rs907715) of IL-21 gene was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. Genotypic relationship testing in this case-control study was performed by using SNPStats online software ( https://www.snpstats.net/ ), odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. The interaction combinations among four SNPs and environmental factors including smoking and alcohol drinking were screened using generalized multifactor dimensionality reduction (GMDR).</p><p><strong>Results: </strong>Logistic regression analysis showed that the risks of RA were significantly higher in carriers with rs2055979- CA genotype (OR = 1.63, 95% CI = 1.28-1.97), rs2055979-AA genotype (OR = 2.02, 95% CI = 1.47-2.59), rs2055979-AA + CA genotype (OR = 1.78, 95% CI = 1.32-2.26), compared to carriers with rs2055979-CC genotype. In allele genetic model, rs2055979-A was also associated with increased RA risk (OR = 1.72, 95% CI = 1.39-2.06). However, we did not find any significant association of rs2221903, rs907715 and rs12508721 with RA risk. The GMDR model found a statistically significant two locus model (P = 0.018), including rs2055979 and smoking, indicating that the interaction between rs2055979 and smoking was significantly associated with the risk of RA. Smokers with rs2055979-AA or CA genotype had the highest risk of RA, compared with non-smokers with rs2055979-CC genotype, OR (95% CI) was 3.23 (1.86-4.64).</p><p><strong>Conclusions: </strong>We found that rs2055979- A allele, gene- environment interaction between rs2055979 and smoking were all correlated with increased RA risk.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"144"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12482331/pdf/","citationCount":"0","resultStr":"{\"title\":\"Impact of interaction between IL-21 gene variants and smoking status on susceptibility to rheumatoid arthritis.\",\"authors\":\"Xiang Lu, Yuan Xue, Shanle Yan\",\"doi\":\"10.1186/s12920-025-02217-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In recent years, interleukin-21 (IL-21) has been found to be a key player in RA pathogenesis and progression, despite accumulating evidence on rheumatoid arthritis (RA) etiology, the precise contribution of IL-21 gene variants interacting with environmental exposures remains unexplored in population-based studies. Therefore, we performed this study to evaluate the impact of gene single nucleotide polymorphisms (SNPs) and their interaction with environment on RA risk.</p><p><strong>Methods: </strong>In this study, Genomic DNA was extracted from whole blood samples (Invitrogen PureLink™ Genomic DNA Mini Kit), and targeted genotyping of four SNPs (rs2055979, rs12508721, rs2221903 and rs907715) of IL-21 gene was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. Genotypic relationship testing in this case-control study was performed by using SNPStats online software ( https://www.snpstats.net/ ), odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. The interaction combinations among four SNPs and environmental factors including smoking and alcohol drinking were screened using generalized multifactor dimensionality reduction (GMDR).</p><p><strong>Results: </strong>Logistic regression analysis showed that the risks of RA were significantly higher in carriers with rs2055979- CA genotype (OR = 1.63, 95% CI = 1.28-1.97), rs2055979-AA genotype (OR = 2.02, 95% CI = 1.47-2.59), rs2055979-AA + CA genotype (OR = 1.78, 95% CI = 1.32-2.26), compared to carriers with rs2055979-CC genotype. In allele genetic model, rs2055979-A was also associated with increased RA risk (OR = 1.72, 95% CI = 1.39-2.06). However, we did not find any significant association of rs2221903, rs907715 and rs12508721 with RA risk. The GMDR model found a statistically significant two locus model (P = 0.018), including rs2055979 and smoking, indicating that the interaction between rs2055979 and smoking was significantly associated with the risk of RA. Smokers with rs2055979-AA or CA genotype had the highest risk of RA, compared with non-smokers with rs2055979-CC genotype, OR (95% CI) was 3.23 (1.86-4.64).</p><p><strong>Conclusions: </strong>We found that rs2055979- A allele, gene- environment interaction between rs2055979 and smoking were all correlated with increased RA risk.</p>\",\"PeriodicalId\":8915,\"journal\":{\"name\":\"BMC Medical Genomics\",\"volume\":\"18 1\",\"pages\":\"144\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12482331/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medical Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12920-025-02217-1\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12920-025-02217-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
摘要
背景:近年来,白细胞介素-21 (IL-21)被发现在类风湿关节炎(RA)的发病和进展中起关键作用,尽管在类风湿关节炎(RA)的病因学上有越来越多的证据,但在基于人群的研究中,IL-21基因变异与环境暴露相互作用的确切作用仍未被探索。因此,我们进行了这项研究,以评估基因单核苷酸多态性(snp)及其与环境的相互作用对RA风险的影响。方法:采用Invitrogen PureLink™Genomic DNA Mini Kit从全血样本中提取基因组DNA,采用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法对IL-21基因rs2055979、rs12508721、rs2221903和rs907715四个snp进行靶向分型。本病例对照研究采用SNPStats在线软件(https://www.snpstats.net/)进行基因型关系检验,计算优势比(ORs)和95%置信区间(ci)。采用广义多因素降维法(GMDR)筛选4个snp与吸烟、饮酒等环境因素的相互作用组合。结果:Logistic回归分析显示,rs2055979- CA基因型携带者(OR = 1.63, 95% CI = 1.28 ~ 1.97)、rs2055979- aa基因型携带者(OR = 2.02, 95% CI = 1.47 ~ 2.59)、rs2055979- aa + CA基因型携带者(OR = 1.78, 95% CI = 1.32 ~ 2.26)患RA的风险显著高于rs2055979- cc基因型携带者。在等位基因遗传模型中,rs2055979-A也与RA风险增加相关(OR = 1.72, 95% CI = 1.39 ~ 2.06)。然而,我们没有发现rs2221903、rs907715和rs12508721与RA风险有显著关联。GMDR模型发现rs2055979与吸烟存在显著的双位点模型(P = 0.018),说明rs2055979与吸烟的交互作用与RA发病风险显著相关。与rs2055979-CC基因型的非吸烟者相比,rs2055979-AA或CA基因型的吸烟者患RA的风险最高,or (95% CI)为3.23(1.86-4.64)。结论:我们发现rs2055979- A等位基因、rs2055979与吸烟的基因-环境交互作用均与RA风险增加相关。
Impact of interaction between IL-21 gene variants and smoking status on susceptibility to rheumatoid arthritis.
Background: In recent years, interleukin-21 (IL-21) has been found to be a key player in RA pathogenesis and progression, despite accumulating evidence on rheumatoid arthritis (RA) etiology, the precise contribution of IL-21 gene variants interacting with environmental exposures remains unexplored in population-based studies. Therefore, we performed this study to evaluate the impact of gene single nucleotide polymorphisms (SNPs) and their interaction with environment on RA risk.
Methods: In this study, Genomic DNA was extracted from whole blood samples (Invitrogen PureLink™ Genomic DNA Mini Kit), and targeted genotyping of four SNPs (rs2055979, rs12508721, rs2221903 and rs907715) of IL-21 gene was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. Genotypic relationship testing in this case-control study was performed by using SNPStats online software ( https://www.snpstats.net/ ), odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. The interaction combinations among four SNPs and environmental factors including smoking and alcohol drinking were screened using generalized multifactor dimensionality reduction (GMDR).
Results: Logistic regression analysis showed that the risks of RA were significantly higher in carriers with rs2055979- CA genotype (OR = 1.63, 95% CI = 1.28-1.97), rs2055979-AA genotype (OR = 2.02, 95% CI = 1.47-2.59), rs2055979-AA + CA genotype (OR = 1.78, 95% CI = 1.32-2.26), compared to carriers with rs2055979-CC genotype. In allele genetic model, rs2055979-A was also associated with increased RA risk (OR = 1.72, 95% CI = 1.39-2.06). However, we did not find any significant association of rs2221903, rs907715 and rs12508721 with RA risk. The GMDR model found a statistically significant two locus model (P = 0.018), including rs2055979 and smoking, indicating that the interaction between rs2055979 and smoking was significantly associated with the risk of RA. Smokers with rs2055979-AA or CA genotype had the highest risk of RA, compared with non-smokers with rs2055979-CC genotype, OR (95% CI) was 3.23 (1.86-4.64).
Conclusions: We found that rs2055979- A allele, gene- environment interaction between rs2055979 and smoking were all correlated with increased RA risk.
期刊介绍:
BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.