通过病例-父母对照研究对基因环境交互作用进行估计

Estimation on Gene-environment Interaction in Case-parent Traids

目的介绍基于似然比检验(LRT)的对数线性模型在病例-父母对照研究中分析基因环境交互作用的应用。方法以新生儿肺不张(NPA)病例中新生儿肺泡表面活性物质相关蛋白A(SPA)基因A186G多态性与新生儿出生1周内呼吸道病毒感染的交互作用的拟合数据为例,以LRT为基础,采用对数线性模型,利用LEM软件进行统计分析。结果新生儿SPA基因A186G多态性与NPA发生相关(P<0.01),基因型AG、GG的新生儿发生肺不张的风险较AA基因型的新生儿显著降低;但AG、GG基因型与呼吸道病毒感染的交互作用会增加其发生NPA的风险。结论对数线性模型适用于病例-父母对照研究中基因与环境的交互作用的检验,并且能够估计交互效应以及基因的单独效应;该方法可用于妊娠期疾病与胚胎源性疾病的病因学研究。

Objective To introduce the application of log-linear model based on the likelihood ratio test（LRT）in the estimation on gene-environment interaction in case-parent traids.Methods Simulated data on the association between the risk of neonatal pulmonary atelectasis（NPA）and neonatal A186 G polymorphism of surfactant protein A（SPA）gene with the infection of respiratory virus in one week of birth was analyzed to clarify the effect of neonatal gene and its interaction with the infection of respiratory virus,by means of a LRT-based log-linear model Results The AG and GG genotypes of neonatal A186 G polymorphism were associated with a reduced NPA risk,but the interactions of the two genotypes with the infection of respiratory virus in one week of birth increased the risk of NPA Conclusion The log-linear model can be applied to the case-parent traids,which are qualified with the ability to test the gene-environment interaction and evaluate the effects of gene-environment interaction as well as the genotype.This approach can be used in etiological studies related to diseases originating from fetus and diseases occurring during pregnancy.