■先前的遗传流行病学研究考虑了TERT(rs2736100),CCDC26(rs4295627),CDKN2A/B(rs4977756)和RTEL1(rs6010620)基因多态性是胶质瘤特有的风险身分。然而,以前的遗传流行病学研究的数据样本不多,无法确定它们是否与神经胶质瘤有明确的关联.
■这项研究关注于系统地搜索PubMed的数据库,Embase,WebofScience(WoS),Scopus,科克伦图书馆和谷歌学者。5种遗传模型下的Meta分析,即隐性模型(RM),超支配模型(O-DM),等位基因模型(AM),共显性模型(C-DM)和显性模型(DM)用于生成比值比(OR)和95%置信区间(CI)。这伴随着根据不同种族群体的亚组分析。在研究中实施STATA17.0MP软件。
■共收集了21篇文章。根据数据分析结果,在四个遗传模型(AM,RM,DM和C-DM)TERT基因rs2736100多态性,CCDC26基因rs4295627多态性,CDKN2A/B基因rs4977756多态性和RTEL1基因rs6010620多态性不同程度地增加了高加索人脑胶质瘤的风险。在亚洲人口中,CCDC26基因rs4295627多态性和CDKN2A/B基因rs4977756多态性与胶质瘤发病风险无相关性.建议谨慎解释这些结果,因为样本量很小。
■当前的荟萃分析表明,TERT的SNP(rs2736100),CCDC26(rs4295627),CDKN2A/B(rs4977756)和RTEL1(rs6010620)基因在胶质瘤中可能增加胶质瘤的风险,但是有种族差异。评估这些多态性和神经胶质瘤风险的进一步研究是必要的。
UNASSIGNED: Previous genetic-epidemiological studies considered TERT (rs2736100), CCDC26 (rs4295627), CDKN2A/B (rs4977756) and RTEL1 (rs6010620) gene polymorphisms as the risk factors specific to glioma. However, the data samples of previous genetic-epidemiological studies are modest to determine whether they have definite association with glioma.
UNASSIGNED: The study paid attention to systematically searching databases of PubMed, Embase, Web of Science (WoS), Scopus, Cochrane Library and Google Scholars. Meta-analysis under 5 genetic models, namely recessive model (RM), over-dominant model (O-DM), allele model (AM), co-dominant model (C-DM) and dominant model (DM) was conducted for generating odds ratios (ORs) and 95% confidence intervals (CIs). That was accompanied by subgroup analyses according to various racial groups. The software STATA 17.0 MP was implemented in the study.
UNASSIGNED: 21 articles were collected. According to data analysis results, in four genetic models (AM, RM, DM and C-DM) TERT gene rs2736100 polymorphism, CCDC26 gene rs4295627 polymorphism, CDKN2A/B gene rs4977756 polymorphism and RTEL1 gene rs6010620 polymorphisms increased the risk of glioma in Caucasians to different degrees. In Asian populations, the CCDC26 gene rs4295627 polymorphism and CDKN2A/B gene rs4977756 polymorphism did not exhibit a relevance to the risk of glioma. It is suggested to cautiously explain these results as the sample size is small.
UNASSIGNED: The current meta-analysis suggested that the SNP of TERT (rs2736100), CCDC26 (rs4295627), CDKN2A/B (rs4977756) and RTEL1 (rs6010620) genes in glioma might increase risk of glioma, but there are ethnic differences. Further studies evaluating these polymorphisms and glioma risk are warranted.