系谱数据分析与交叉干涉。
Pedigree data analysis with crossover interference.
作者信息
Browning Sharon
机构信息
Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695-7566, USA.
出版信息
Genetics. 2003 Aug;164(4):1561-6. doi: 10.1093/genetics/164.4.1561.
We propose a new method for calculating probabilities for pedigree genetic data that incorporates crossover interference using the chi-square models. Applications include relationship inference, genetic map construction, and linkage analysis. The method is based on importance sampling of unobserved inheritance patterns conditional on the observed genotype data and takes advantage of fast algorithms for no-interference models while using reweighting to allow for interference. We show that the method is effective for arbitrarily many markers with small pedigrees.
我们提出了一种用于计算系谱遗传数据概率的新方法，该方法使用卡方模型纳入交叉干扰。其应用包括亲缘关系推断、遗传图谱构建和连锁分析。该方法基于以观察到的基因型数据为条件对未观察到的遗传模式进行重要性抽样，并利用无干扰模型的快速算法，同时使用重新加权来考虑干扰。我们表明，该方法对于具有小系谱的任意多个标记都是有效的。
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