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首页> 美国卫生研究院文献>American Journal of Human Genetics >Robustness and power of the unified model in the analysis of quantitative measurements.
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Robustness and power of the unified model in the analysis of quantitative measurements.

机译：定量测量分析中统一模型的鲁棒性和强大功能。

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摘要

The resolution between skewness in the distribution of a quantitative trait and segregation of a major gene is a difficult issue in family studies. Quantitative data were simulated on six-member nuclear families in order to study the behavior of the unified model under these circumstances. Replicates of 100 nuclear families were generated assuming a multifactorial model with skewness. In the range where a major gene was falsely detected in 80%-100% of the simulations analyzed under the transmission probability or mixed models, use of the unified model reduces the frequency of false inference to between 10% and 40%. This protection against a false conclusion requires estimation of the three transmission probabilities and testing hypotheses of Mendelian transmission and equal transmission probabilities. Alternatively, it was shown that use of a transformation to remove skewness induced by a major gene leads to a decrease of power of approximately 55%. These results suggest that the unified model may obviate the need to compare analyses performed on transformed and untransformed data, particularly when skewness is low (less than 0.2) or high (greater than 0.4). For intermediate skewness (0.2-0.4), estimating segregation parameters under the mixed model simultaneously with a transformation to remove residual skewness can be considered as an alternative method.
机译：在家庭研究中，解决定量性状分布的偏度与主要基因分离之间的关系是一个难题。为了对这种情况下统一模型的行为进行研究，对六员核族进行了定量数据模拟。假设具有偏斜的多因素模型，则生成了100个核心家庭的副本。在以传播概率或混合模型分析的模拟中有80％-100％错误地检测到主要基因的范围内，使用统一模型可以将错误推断的频率降低到10％至40％之间。要防止错误的结论，就需要估算三个传播概率，并检验孟德尔传播和相等传播概率的假设。备选地，显示出使用转化去除主要基因诱导的偏斜导致功率降低约55％。这些结果表明，统一模型可能不需要比较对转换后的数据和未转换的数据进行的分析，特别是当偏度较低（小于0.2）或较高（大于0.4）时。对于中等偏度（0.2-0.4），可以将混合模型下的偏析参数估计与消除残留偏度的转换同时考虑作为替代方法。

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