Association of Four VEGFA Gene Variants with Rheumatoid Arthritis Risk: A Meta-analysis and Trial Sequential Analysis.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ke Li, Yilu Wang, Peng Huang
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引用次数: 0

Abstract

The association between rheumatoid arthritis (RA) risk and specific variants of the Vascular Endothelial Growth Factor A (VEGFA) gene remains contentious. This study sought to elucidate the correlations between RA risk and several VEGFA gene variants, including VEGFA-634 (rs2010963), VEGFA-C936 (rs3025039), VEGFA-2578 (rs699947), VEGFA-1154 (rs1570360), through a comprehensive meta-analysis. We systematically reviewed literature from the Cochrane Library database, Embase, PubMed, Web of Science, China National Knowledge Infrastructure, and the Wanfang Data Information Service platform to gather relevant case-control studies. Using odds ratio (OR) and 95% confidence interval (95% CI), we analyzed the data to assess potential correlations. Sensitivity analysis and the Egger's test were employed to ensure the results stability and to evaluate potential publication bias. Additionally, trial sequential analysis (TSA) was conducted to validate the findings. Our meta-analysis incorporated ten studies involving 2817 patients and 2855 controls. Results indicated that the AA genotype of VEGFA-1154 (rs1570360) is associated with a reduced risk of RA in the overall population (AG + GG vs AA: P = 0.032 OR = 1.932 95% CI 1.059-3.523). However, no significant association is found for VEGFA-634 (rs2010963), VEGFA-C936 (rs3025039), and VEGFA-2578 (rs699947) variants with RA risk. Subgroup analysis revealed a significant association between the VEGF rs3025039(C936) variant and RA risk in the PCR-RFLP group under the TC vs. CC model. TSA confirmed the sufficiency of the sample size for robust conclusions. These findings suggest that the G allele of VEGFA-1154 (rs1570360) may increase RA risk, whereas the A allele appears to confer a protective effect. This study enhances our understanding of the genetic predispositions to RA and underscores the potential role of VEGFA gene variants in its pathogenesis.

Abstract Image

四种 VEGFA 基因变异与类风湿性关节炎风险的关系:一项 Meta 分析和试验序列分析。
类风湿性关节炎(RA)风险与血管内皮生长因子 A(VEGFA)基因特定变异之间的关系仍存在争议。本研究试图通过全面的荟萃分析,阐明类风湿性关节炎风险与几种 VEGFA 基因变异之间的相关性,包括 VEGFA-634 (rs2010963)、VEGFA-C936 (rs3025039)、VEGFA-2578 (rs699947)、VEGFA-1154 (rs1570360)。我们系统地查阅了 Cochrane 图书馆数据库、Embase、PubMed、Web of Science、中国国家知识基础设施和万方数据信息服务平台中的文献,收集了相关的病例对照研究。我们使用几率比(OR)和 95% 置信区间(95% CI)对数据进行分析,以评估潜在的相关性。我们采用了敏感性分析和 Egger 检验来确保结果的稳定性,并评估潜在的发表偏倚。此外,我们还进行了试验序列分析(TSA)以验证研究结果。我们的荟萃分析纳入了 10 项研究,涉及 2817 例患者和 2855 例对照。结果表明,VEGFA-1154(rs1570360)的AA基因型与总体人群罹患RA的风险降低有关(AG + GG vs AA:P = 0.032 OR = 1.932 95% CI 1.059-3.523)。然而,VEGFA-634(rs2010963)、VEGFA-C936(rs3025039)和VEGFA-2578(rs699947)变异与 RA 风险无明显关联。亚组分析显示,在 TC vs. CC 模型下,PCR-RFLP 组中的 VEGF rs3025039(C936) 变异与 RA 风险之间存在显著关联。TSA证实样本量足以得出可靠的结论。这些发现表明,VEGFA-1154(rs1570360)的G等位基因可能会增加RA风险,而A等位基因似乎具有保护作用。这项研究加深了我们对 RA 遗传倾向的了解,并强调了 VEGFA 基因变异在其发病机制中的潜在作用。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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