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A powerful parent-of-origin effects test for qualitative traits on X chromosome in general pedigrees

机译:一般百分比X染色体上的定性特征的强大父母原产地试验

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Genomic imprinting is one of the well-known epigenetic factors causing the association between traits and genes, and has generally been examined by detecting parent-of-origin effects of alleles. A lot of methods have been proposed to test for parent-of-origin effects on autosomes based on nuclear families and general pedigrees. Although these parent-of-origin effects tests on autosomes have been available for more than 15 years, there has been no statistical test developed to test for parent-of-origin effects on X chromosome, until the parental-asymmetry test on X chromosome (XPAT) and its extensions were recently proposed. However, these methods on X chromosome are only applicable to nuclear families and thus are not suitable for general pedigrees. In this article, we propose the pedigree parental-asymmetry test on X chromosome (XPPAT) statistic to test for parent-of-origin effects in the presence of association, which can accommodate general pedigrees. When there are missing genotypes in some pedigrees, we further develop the Monte Carlo pedigree parental-asymmetry test on X chromosome (XMCPPAT) to test for parent-of-origin effects, by inferring the missing genotypes given the observed genotypes based on a Monte Carlo estimation. An extensive simulation study has been carried out to investigate the type I error rates and the powers of the proposed tests. Our simulation results show that the proposed methods control the size well under the null hypothesis of no parent-of-origin effects. Moreover, XMCPPAT substantially outperforms the existing tests and has a much higher power than XPPAT which only uses complete nuclear families (with both parents) from pedigrees. We also apply the proposed methods to analyze rheumatoid arthritis data for their practical use. The proposed XPPAT and XMCPPAT test statistics are valid and powerful in detecting parent-of-origin effects on X chromosome for qualitative traits based on general pedigrees and thus are recommended.
机译:基因组印记是引起特征与基因之间关联的众所周知的表观遗传因素之一,并且通常通过检测等位基因的父母的影响来检查。已经提出了许多方法以基于核家族和一般章鱼对原产素对自染素的影响进行测试。虽然这些原产地对仿染素的疗法进行了超过15年的测试,但没有开发出统计学测试以测试对X染色体的原产胚胎效果,直到X染色体上的亲本 - 不对称试验(最近提出了XPAT)及其扩展。但是,这些关于X染色体的这些方法仅适用于核家族,因此不适合普通群。在本文中,我们提出了对X染色体(XPPAT)统计学的血统父母不对称试验,以测试在存在关联中的父母级效应,这可以容纳一般百分点。当一些章节中存在缺失的基因型时,我们进一步开发X染色体(XMCPPAT)的蒙特卡罗谱系父母 - 不对称试验,以通过推断缺失的基因型基于蒙特卡洛的观察到的基因型来测试寄生物质效应。估计。已经进行了广泛的仿真研究,以研究I型错误率和所提出的测试的权力。我们的仿真结果表明,所提出的方法控制尺寸良好的零假设,无父母的效果。此外,XMCPPAT显着优于现有的测试,并且具有比XPPAT更高的功率,它只使用完整的核家族(父母)来自派生。我们还应用所提出的方法来分析类风湿性关节炎数据的实际用途。所提出的XPPAT和XMCPPAT测试统计数据有效,强大,在检测X染色体上的原始乳腺效应对于基于一般百分点的定性特征,因此建议使用。

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