Estimating the frequency distribution of crossovers during meiosis from recombination data.
Estimating the frequency distribution of crossovers during meiosis from recombination data.
复制标题
根据重组数据估计减数分裂期间交叉的频率分布。
DOI：
10.1111/j.0006-341x.2001.00427.x
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Feingold,E
中科院分区：
文献类型：
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作者：
Yu,K;Feingold,E
从遗传重组数据中估计四分体交叉频率分布是Weinstein(1936，Genetics21,155-199)提出的一个经典问题。但一些重要的问题，如如何确定最大交叉次数，如何构造交叉概率的置信度区间，以及如何为假设检验获得正确的p值，一直没有得到充分的解决。在这篇文章中，我们得到了交叉概率的极大似然估计(MLE)的一些性质，这些性质隐含着选择最大交叉数目的准则。我们给出了正常减数分裂和不分离减数分裂的结果。我们还开发了一种加速EM算法来更有效地寻找最大似然估计。我们提出了基于Bootstrap的方法来寻找置信度区间和p值，并进行了仿真研究以验证Bootstrap方法的有效性。
Estimation of tetrad crossover frequency distributions from genetic recombination data is a classic problem dating back to Weinstein (1936,Genetics21, 155–199). But a number of important issues, such as how to specify the maximum number of crossovers, how to construct confidence intervals for crossover probabilities, and how to obtain correctp‐values for hypothesis tests, have never been adequately addressed. In this article, we obtain some properties of the maximum likelihood estimate (MLE) for crossover probabilities that imply guidelines for choosing the maximum number of crossovers. We give these results for both normal meiosis and meiosis with nondisjunction. We also develop an accelerated EM algorithm to find the MLE more efficiently. We propose bootstrap‐based methods to find confidence intervals andp‐values and conduct simulation studies to check the validity of the bootstrap approach.