摘要
为了探讨钉螺易感性与遗传变异间的相互关系,本研究应用Logistic回归方程模型分析中国33个地点钉螺易感性与等位基因频率间的关系。逐步回归分析结果显示,只有一个变量(Mdh—2基因频率)显著性地进入模型,回归系数为13.7069,常数为-8.7409。所建立的模型拟合原始数据完好,且种群的分类正确率达93.9％,表明Mdh—2基因位点与钉螺易感性相关。
The susceptibility of Oncomelania hupensis to Schistosoma japonicum has been shown to be very variable from population to population. This study was undertaken to relate this vari-ation in susceptibility to genetic variability. A total of 33 populations of O. hupensis from sev-eral wide spread localities in China's Mainland were collected. Snails of all populations were ex-posed in groups to miracidia (20 miracidia per snail) of one laboratory strain of S. japonicum. Infection rate varied from zero to 93. 9%. Population genetic study was carried out by using horizontal starch gel electrophoresis with the 12 specific enzyme systems. A total of 17 genet-ically interpretable loci were observed,7 of these were polymorphic loci. They were Ap,Est -4,Est -5,Got ,Mdh -2,Idh -2 ,Xdh. Allele frequencies were calculated for each population. For logistic regression analysis,susceptibility of the population was scored as 0 when no snail became infected or as 1 when infection rate was more than 0%. Variation in susceptibility was analysed by logistic regression models with genotype frequencies of the 7 polymorphic loci as independent variables. In order to identify the most important factors, both forward and backward stepwise procedures were performed. Results showed that only one variable (genotype frequency of Mdh - 2) entered into the model with a regression coefficient of 13. 706 9 and a constant of -8. 740 9. Results also showed the established model fitted the data well in goodness of fit test,and 93.9% of the populations were correctly classified. It is suggested that a close linkage exists between Mdh-2 gene locus and the susceptibility of O. hupensis.
出处
《中国血吸虫病防治杂志》
CAS
CSCD
1995年第1期1-5,共5页
Chinese Journal of Schistosomiasis Control
基金
本课题得到联合国开发署/世界银行/世界卫生组织热带病研究和培训特别规划署的资助
关键词
钉螺
易感性
基因型频率
LOGISTIC回归
Oncomelania hupensis, susceptibility, genotype frequency ,logistic regression
