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叉生分析在基因-环境交互作用研究中的应用与意义
引用本文:王培桦,沈洪兵,陈峰,赵金扣. 叉生分析在基因-环境交互作用研究中的应用与意义[J]. 中华流行病学杂志, 2005, 26(1): 54-57
作者姓名:王培桦  沈洪兵  陈峰  赵金扣
作者单位:1. 210029,南京医科大学公共卫生学院流行病与卫生统计学系
2. 江苏省疾病预防控制中心慢性非传染病防制科
基金项目:江苏省医学“13 5工程”重点学科资助项目 (流行病学0 2 0 2 ),江苏省医学重点人才培养资助项目 (RC2 0 0 3 0 90 )
摘    要:目的 探讨叉生分析在基因 环境交互作用研究中的作用和意义。方法 以口服避孕药和Leiden因子Ⅴ基因突变与静脉血栓栓塞的病例对照研究为例 ,分析 2× 4叉生分析表核心信息 ,并与分层分析、单纯病例研究相比较。结果 对基因 环境交互作用的分析依赖于相加或相乘模型的选择。基于相乘模型交互作用的叉生分析OR值为 1.35 (P >0 .0 5 ) ,其结果与分层分析和单纯病例研究一致 ;叉生分析还可计算相加模型的各项指标 :交互作用指数为 3.90、交互作用归因比为72 .2 4 %、交互作用超额相对危险度为 2 5 .0 8(P >0 .0 5 )。结论 叉生分析在基因 环境交互作用分析中可进一步应用。

关 键 词:叉生分析  交互作用  分层分析  单纯病例研究
收稿时间:2004-05-26
修稿时间:2004-05-26

Study on the signif icance and application of crossover analysis in assessing gene2environmental interaction
WANG Pei-hu,SHEN Hong-bing,CHEN Feng and ZHAO Jin-kou. Study on the signif icance and application of crossover analysis in assessing gene2environmental interaction[J]. Chinese Journal of Epidemiology, 2005, 26(1): 54-57
Authors:WANG Pei-hu  SHEN Hong-bing  CHEN Feng  ZHAO Jin-kou
Affiliation:Department of Epidemiology and Statistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China.
Abstract:OBJECTIVE: To examine the significance of crossover analysis in gene-environmental interaction studies. METHODS: Through elaboration of a case-control study on the increased risk of venous thrombosis in oral-conceptive users who were carriers of factor V Leiden mutation, core information from 2 x 4 crossover table were analyzed and compared with stratified analysis and 'case only' study. RESULTS: Different models (additive or multiplicative) in analyzing gene-environmental interaction yielded different results. The result of interaction based on multiplicative model was 1.35 (P > 0.05), compatible with that of stratified analysis and case only study. Calculated by crossover analysis based on additive model, synergy index S(S), attributable proportion of interaction (AP) and relative excess risk of interaction (RERI) appeared to be 3.90, 72.24%, 25.08 (P > 0.05) respectively. CONCLUSION: Crossover analysis should further be applied in gene-environmental interaction studies.
Keywords:Crossover analysis  Interaction  Stratified analysis  Case only study
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