中国血液流变学杂志
中國血液流變學雜誌
중국혈액류변학잡지
CHINESE JOURNAL OF HEMORHEOLOGY
2014年
2期
205-207
,共3页
王冰%宋志旺%吴晓宏%邵柏
王冰%宋誌旺%吳曉宏%邵柏
왕빙%송지왕%오효굉%소백
XRCC1%胶质瘤%多态性%meta分析
XRCC1%膠質瘤%多態性%meta分析
XRCC1%효질류%다태성%meta분석
XRCC1%glioma%polymorphism%meta-analysis
目的:探讨XRCC1基因SNP399多态性和高加索人胶质瘤易感性的关系。方法提取XRCC1基因SNP399多态性与脑胶质瘤易感性关系的数据,筛选出符合条件的数据,应用Meta分析技术软件对各项数据进行异质性检验,计算合并相对危险度(OR)值及95%可信区间(CI),并行敏感性分析和发表偏移的评估。结果该研究中共有6组符合条件的数据,病例组2,362例、对照组3,085例。Meta分析合并结果显示,XRCC1基因SNP399多态性在等位基因模型(P=0.03,OR=1.14,95%CI 1.03~1.28,P异质性=0.006)和隐性基因模型(P=0.006,OR=1.17,95%CI 1.05~1.30,P异质性<0.00007)下能够增加高加索人种脑胶质瘤的发病风险。敏感性分析表明合并结果不受单个研究的影响。结论 XRCC1基因SNP399多态性能够增加高加索人脑胶质瘤的发病风险。
目的:探討XRCC1基因SNP399多態性和高加索人膠質瘤易感性的關繫。方法提取XRCC1基因SNP399多態性與腦膠質瘤易感性關繫的數據,篩選齣符閤條件的數據,應用Meta分析技術軟件對各項數據進行異質性檢驗,計算閤併相對危險度(OR)值及95%可信區間(CI),併行敏感性分析和髮錶偏移的評估。結果該研究中共有6組符閤條件的數據,病例組2,362例、對照組3,085例。Meta分析閤併結果顯示,XRCC1基因SNP399多態性在等位基因模型(P=0.03,OR=1.14,95%CI 1.03~1.28,P異質性=0.006)和隱性基因模型(P=0.006,OR=1.17,95%CI 1.05~1.30,P異質性<0.00007)下能夠增加高加索人種腦膠質瘤的髮病風險。敏感性分析錶明閤併結果不受單箇研究的影響。結論 XRCC1基因SNP399多態性能夠增加高加索人腦膠質瘤的髮病風險。
목적:탐토XRCC1기인SNP399다태성화고가색인효질류역감성적관계。방법제취XRCC1기인SNP399다태성여뇌효질류역감성관계적수거,사선출부합조건적수거,응용Meta분석기술연건대각항수거진행이질성검험,계산합병상대위험도(OR)치급95%가신구간(CI),병행민감성분석화발표편이적평고。결과해연구중공유6조부합조건적수거,병례조2,362례、대조조3,085례。Meta분석합병결과현시,XRCC1기인SNP399다태성재등위기인모형(P=0.03,OR=1.14,95%CI 1.03~1.28,P이질성=0.006)화은성기인모형(P=0.006,OR=1.17,95%CI 1.05~1.30,P이질성<0.00007)하능구증가고가색인충뇌효질류적발병풍험。민감성분석표명합병결과불수단개연구적영향。결론 XRCC1기인SNP399다태성능구증가고가색인뇌효질류적발병풍험。
Objective To explore the association between XRCC1 gene SNP399 polymorphism and the risk of glioma. Methods Studies on the association between XRCC1 gene SNP399 polymorphism and the risk of glioma were searched and all relevant studies that met the inclusion criteria were eligible for the analysis. Four genetic models and generalized odds ratios (ORs) and 95%confidence interval (CIs) were used for the assessment. At last, we conduct sensitivity analysis and investigate the publication bias. Results A total of 6 articles with a total of 2,362 cases and 3,085 controls were included. XRCC1 gene SNP399 polymorphism contributed to glioma susceptibility in Caucasian population when allele model (G versus A), recessive model (GG versus GA and AA) were applied (G versus A:P=0.03, OR=1.14, 95%CI 1.03~1.28, Pheterogeneity=0.006;GG versus GA and AA:P=0.006, OR=1.17, 95%CI 1.05~1.30, Pheterogeneity<0.00007), sensitivity analysis show this result was not influenced by one study. Conclusion The present meta-analysis suggests that XRCC1 gene SNP399 polymorphism is associated with increased glioma risk in Caucasian population.