SYSTEMATIC DETECTION OF ERRORS IN GENETIC-LINKAGE DATA
SYSTEMATIC DETECTION OF ERRORS IN GENETIC-LINKAGE DATA
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DOI：
10.1016/s0888-7543(05)80158-2
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发表时间：
1992-11-01
期刊：
影响因子：
4.4
通讯作者：
LANDER, ES
中科院分区：
文献类型：
--
作者：
LINCOLN, SE;LANDER, ES
在实践中，由于实验室分型错误的发生，密集遗传连锁图谱的构建受到阻碍。即使相对较低的错误率也会导致大量的图谱扩展，并干扰正确遗传顺序的确定。在这里，我们描述了一种克服这些困难的系统方法，该方法基于将错误的可能性纳入链接分析的通常似然模型。使用这种方法，可以构建允许错误的遗传图谱，并确定最有可能出错的类型。该方法已应用于两个自交系之间的F2杂交，这与实验生物遗传图谱的构建有关。给出了模拟和真实数据的测试，表明该方法可以检测到绝大多数错误。
Construction of dense genetic linkage maps is hampered, in practice, by the occurrence of laboratory typing errors. Even relatively low error rates cause substantial map expansion and interfere with the determination of correct genetic order. Here, we describe a systematic method for overcoming these difficulties, based on incorporating the possibility of error into the usual likelihood model for linkage analysis. Using this approach, it is possible to construct genetic maps allowing for error and to identify the typings most likely to be in error. The method has been implemented for F2 intercrosses between two inbred strains, a situation relevant to the construction of genetic maps in experimental organisms. Tests involving both simulated and real data are presented, showing that the method detects the vast majority of errors.