Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines
Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines
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DOI：
10.1023/a:1018394410659
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发表时间：
1997-01-01
期刊：
影响因子：
1.5
通讯作者：
Zeng, ZB
中科院分区：
文献类型：
--
作者：
Jiang, CJ;Zeng, ZB
遗传标记的显性表型提供了关于个体的标记基因型的不完整信息。使用这种不完全信息来定位数量性状基因座（QTL）的结果是，对侧翼为具有显性表型的标记的推定QTL的基因型的推断将取决于下一个标记的基因型或表型。这种依赖性可以进一步扩展，直到完全观察到标记基因型。一个通用的算法来计算一个假定的QTL在一个给定的基因组位置的基因型的概率分布，条件是所有观察到的标记表型在该地区的显性和缺失的标记信息的个人。该算法实现了各种人口源于两个自交系的背景下，定位QTL。模拟结果表明，如果只有一部分标记含有缺失或显性表型，QTL定位几乎可以像数据中没有缺失信息一样有效。然而，当很大比例的标记包含缺失或显性表型时，分析的效率可能会大大降低，并且必须首先在相同的数据上重建遗传图谱。因此，在QTL定位研究中，将联合收割机显性标记和共显性标记结合起来是非常重要的。
Dominant phenotype of a genetic marker provides incomplete information about the marker genotype of an individual. A consequence of using this incomplete information for mapping quantitative trait loci (QTL) is that the inference of the genotype of a putative QTL flanked by a marker with dominant phenotype will depend on the genotype or phenotype of the next marker. This dependence can be extended further until a marker genotype is fully observed. A general algorithm is derived to calculate the probability distribution of the genotype of a putative QTL at a given genomic position, conditional on all observed marker phenotypes in the region with dominant and missing marker information for an individual. The algorithm is implemented for various populations stemming from two inbred lines in the context of mapping QTL. Simulation results show that if only a proportion of markers contain missing or dominant phenotypes, QTL mapping can be almost as efficient as if there were no missing information in the data. The efficiency of the analysis, however, may decrease substantially when a very large proportion of markers contain missing or dominant phenotypes and a genetic map has to be reconstructed first on the same data as well. So it is important to combine dominant markers with codominant markers in a QTL mapping study.