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通过病例-父母对照研究对基因环境交互作用进行估计

Acta Medicinae Universitatis Scientiae et Technologiae Huazhong(2017)

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Abstract
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.
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Key words
case-parent traids,gene-environment interaction,log-linear model,likelihood ratio test
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