Chiasma-based models of multilocus recombination: increased power for exclusion mapping and gene ordering.
Chiasma-based models of multilocus recombination: increased power for exclusion mapping and gene ordering.
复制标题
基于交叉的多位点重组模型：增强排除图谱和基因排序的能力。
DOI：
10.1016/0888-7543(89)90059-1
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发表时间：
1989
期刊：
影响因子：
4.4
通讯作者：
Kimberling,WJ
中科院分区：
文献类型：
--
作者：
Goldgar,DE;Fain,PR;Kimberling,WJ
细胞学证据表明，任何给定染色体臂上可能出现的交叉数量是有限的。在本文中，蒙特卡罗模拟研究用于比较以染色体特异性交叉分布参数化的多位点重组模型与以相邻区间重组分数参数化的传统模型的功效。考虑两个特定的基因作图问题：从给定的染色体图谱中排除测试基因座，以及相对于同线标记基因座的固定图谱对测试基因座进行排序。我们表明，基于交叉的模型需要显着更少的观察来排除或排序测试位点，并且它们在指定潜在的真实交叉分布时对错误非常稳健。
Cytological evidence indicates that the number of chiasmata which can occur on any given chromosome arm is limited. In this paper a Monte-Carlo simulation study is used to compare the power of a model of multilocus recombination parameterized in terms of chromosome-specific chiasma distributions with the traditional model parameterized by recombination fractions in adjacent intervals. Two specific gene mapping problems are considered: excluding a test locus from a given chromosome map and ordering a test locus with respect to a fixed map of syntenic marker loci. We show that the chiasma-based models require significantly fewer observations to exclude or order a test locus and that they are quite robust to errors in specifying the underlying true chiasma distribution.