| 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].Chinese journal of Epidemiology,2005,26(1):54-57 |
| 叉生分析在基因-环境交互作用研究中的应用与意义 |
| Study on the signif icance and application of crossover analysis in assessing gene2environmental interaction |
| Received:May 26, 2004 |
| DOI： |
| KeyWord: 叉生分析 交互作用 分层分析 单纯病例研究 |
| English Key Word: Crossover analysis Interaction Stratified analysis Case only study |
| FundProject:江苏省医学“135工程”重点学科资助项目(流行病学02202)、江苏省医学重点人才培养资助项目(RC2003090) |
| Author Name | Affiliation | | WANG Pei-hua | Department of Epidemiology and Statistics ,School of Public Health , Nanjing Medical University , Nanjing 210029 ,China | | SHEN Hong-bing | Department of Epidemiology and Statistics ,School of Public Health , Nanjing Medical University , Nanjing 210029 ,China | | CHEN Feng | Department of Epidemiology and Statistics ,School of Public Health , Nanjing Medical University , Nanjing 210029 ,China | | ZHAO Jin-kou | Jiangsu Provincial Center f or Disease Control and Prevention ,Nanjing 210009 ,China |
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| Abstract: |
| 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>0.05),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72.24%、交互作用超额相对危险度为25.08(P>0.05)。结论叉生分析在基因环境交互作用分析中可进一步应用。 |
| English Abstract: |
| Objective To examine the significance of crossover analysis in gene2environmental interaction studies. Methods Through elaboration of a case2control study on the increased risk of venous thrombosis in oral2conceptive users who were carriers of factor ⅤLeiden mutation , core information from 2 ×4 crossover table were analyzed and compared with stratified analysis and‘case only’study. Results Different models (additive or multiplicative) in analyzing gene2environmental 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 gene2environmental interaction studies. |
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