Application of the interaction models between the polymorphism(s) of metabolic gene(s) and environmental exposure
10.3760/j.issn:0254-6450.2001.01.020
- VernacularTitle:代谢酶基因多态性与环境暴露交互作用的分析方法及其应用
- Author:
Jing SHEN
1
;
Runtian WANG
;
Xiping XU
Author Information
1. 北京大学
- From:
Chinese Journal of Epidemiology
2001;22(1):61-64
- CountryChina
- Language:Chinese
-
Abstract:
Objective Taking GST M1 as an example to introduce analytic method of interaction models between the polymorphism(s) of metabolic gene(s) and environmental exposure in stomach cancer susceptibility. Methods Using community-based case-control design, combined with molecular biological techniques (PCR) and multiple variables logistic regression models, we analyzed 112 intestinal types of stomach cancer cases with endoscopy and pathology diagnosis in the Yangzhong City Hospital during January 1997 and December 1998. A total of 675 controls were selected from persons who had no history of digestive system cancers. Results After adjustment of confounding variables with both GST M1 null genotype and history of ever tobacco smoking, the results showed a significant types of 4 gene-environment interaction. Interaction index (γ) value was 3.38 and OReg value was 8.40, suggesting that a super multi-plicative interaction occured. The results also showed that GST M1 null genotype had a high exposure-gene effect interaction with tobacco smoking (pack year), while γ values were 0.995, 2.085 and 2.157 respectively. A low exposure-gene effect interaction was found in GST M1 null genotype with the amount of (kg*year) alcohol consumption while γ values were 1.01 and 0.97 respectively. Conclusion Logistic regression model can be used to evaluate gene-environment interaction and dose-response of exposure-gene effect.
