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Power divergence test statistics for testing Hardya??Weinberg equilibrium

机译:用于测试HARDY的电源分歧测试统计数据WEINBERG均衡

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The Hardya??Weinberg equilibrium (HWE) model states that allele and genotype frequencies in a population will remain constant for generations in the absence of evolutionary effects. A goodness-of-fit test can be used to test if a population is significantly different from the expectations of HWE. Pearson statistics are commonly used in goodness-of-fit tests for testing the HWE. In this paper, a simulation study is carried out to evaluate the performance of power divergence statistics under different sample sizes, effect sizes and minor allele frequencies. A real genotype dataset is also analysed to compare the results of several power divergence test statistics.
机译:Hardya ?? Weinberg均衡(HWE)模型表明,在没有进化效应的情况下,人口中的等位基因和基因型频率将保持不变。如果人群与HWE的期望显着不同,则可以使用适合拟合测试。 Pearson统计通常用于测试HWE的良好测试。在本文中,进行了仿真研究,以评估不同样本尺寸,效果大小和次次等位基因频率下的功率发散统计的性能。还分析了实际基因型数据集以比较多个电源分歧测试统计的结果。

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