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Likelihood ratio tests for maternal and fetal genetic effects on obstetric complications.

机译:产妇并发症对母婴遗传影响的似然比检验。

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摘要

It is well recognized that both maternal and fetal genes could contribute to susceptibility for obstetric complications. Logistic regression models are usually adopted to model the separate or joint action of maternal and fetal loci with case-control data. The standard likelihood ratio tests (LRTs) can be used to test the significance of appropriate odds ratio parameters. This method, although simple to implement, fails to exploit a unique feature of genetic epidemiology studies of obstetric complications. Specifically, it does not take into consideration the correlation between the maternal and offspring genomes. We propose novel LRT that take advantage of this information by incorporating the fact that half of a child's genome is inherited from the mother. Our methods have substantially improved power for detecting marginal, main, and interactive maternal and fetal genotype effects, as evidenced by results from extensive simulation studies. We demonstrate our new methods by applying them to the analysis of data from a pilot study of preeclampsia.
机译:众所周知,母体和胎儿基因都可能对产科并发症易感性。通常采用Logistic回归模型来通过病例对照数据对母体和胎儿位点的单独或联合作用进行建模。标准似然比测试(LRT)可用于测试适当的比值比参数的显着性。该方法虽然易于实施,但未能利用遗传学方法对产科并发症进行研究。具体而言,它没有考虑母体和后代基因组之间的相关性。我们提出了一种新颖的LRT,它通过结合一个孩子的基因组一半是从母亲那里继承这一事实来利用这一信息的。广泛的模拟研究结果证明,我们的方法大大提高了检测边缘,主要和相互作用的母体和胎儿基因型效应的能力。我们通过将其应用到先兆子痫先导研究的数据分析中来证明我们的新方法。

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