有序四分体的统计分析。
Statistical analysis of ordered tetrads.
作者信息
Zhao H, Speed T P
机构信息
Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
出版信息
Genetics. 1998 Sep;150(1):459-72. doi: 10.1093/genetics/150.1.459.
Ordered tetrad data yield information on chromatid interference, chiasma interference, and centromere locations. In this article, we show that the assumption of no chromatid interference imposes certain constraints on multilocus ordered tetrad probabilities. Assuming no chromatid interference, these constraints can be used to order markers under general chiasma processes. We also derive multilocus tetrad probabilities under a class of chiasma interference models, the chi-square models. Finally, we compare centromere map functions under the chi-square models with map functions proposed in the literature. Results in this article can be applied to order genetic markers and map centromeres using multilocus ordered tetrad data.
有序四分子数据可提供有关染色单体干涉、交叉干涉和着丝粒位置的信息。在本文中，我们表明不存在染色单体干涉这一假设对多位点有序四分子概率施加了某些限制。假设不存在染色单体干涉，这些限制可用于在一般交叉过程下对标记进行排序。我们还推导了一类交叉干涉模型（卡方模型）下的多位点四分子概率。最后，我们将卡方模型下的着丝粒图谱函数与文献中提出的图谱函数进行了比较。本文的结果可应用于利用多位点有序四分子数据对遗传标记进行排序和绘制着丝粒图谱。
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