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The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage

机译:连锁不平衡和连锁相结合对数量性状基因座进行精细映射的设计效率

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摘要

In a simulation study, different designs were compared for efficiency of line-mapping of QTL. The variance component method for line-mapping of QTL was used to estimate QTL position and variance components. The design of many families with small size gave a higher mapping resolution than a design with few families of large size. However, the difference is small in half sib designs. The proportion of replicates with the QTL positioned within 3 cM of the true position is 0.71 in the best design, and 0.68 in the worst design applied to 128 animals with a phenotypic record and a QTL explaining 25% of the phenotypic variance. The design of two half sib families each of size 64 was further investigated for a hypothetical population with effective size of 1000 simulated for 6000 generations with a marker density of 0.25 cM and with marker mutation rate 4 * 10~(-4) per generation. In mapping using bi-allelic markers, 42~55% of replicated simulations could position QTL within 0.75 cM of the true position whereas this was higher for multi allelic markers (48~76%). The accuracy was lowest (48%) when mutation age was 100 generations and increased to 68% and 76% for mutation ages of 200 and 500 generations, respectively, after which it was about 70% for mutation ages of 1000 generations and older. When effective size was linearly decreasing in the last 50 generations, the accuracy was decreased (56 to 70%). We show that half sib designs that have often been used for linkage mapping can have sufficient information for fine-mapping of QTL. It is suggested that the same design with the same animals for linkage mapping should be used for line-mapping so gene mapping can be cost effective in livestock populations.
机译:在仿真研究中,比较了不同设计的QTL线映射效率。使用QTL线图的方差分量方法估计QTL位置和方差分量。许多小尺寸家庭的设计比少数几个大尺寸家庭的设计提供了更高的地图分辨率。但是,半同胞设计的差异很小。最佳设计的QTL位于真实位置3 cM以内的重复序列的比例为0.71,最差的设计为0.68,适用于128个具有表型记录和QTL的动物,该表型解释了25%的表型变异。进一步研究了一个假想种群的两个半同胞科的设计,每个种群的有效大小为1000,模拟了6000代,标记密度为0.25 cM,标记突变率为4 * 10〜(-4)。使用双等位基因标记作图时,有42〜55%的重复模拟可以将QTL定位在真实位置的0.75 cM之内,而多等位基因标记则更高(48〜76%)。当突变年龄为100代时,准确度最低(48%),而对于200和500世代的突变年龄,准确度分别提高至68%和76%,此后,对于1000代及更高年龄的突变年龄,准确度约为70%。当最近50代中有效尺寸线性减小时,准确性降低(56%至70%)。我们表明,经常用于链接映射的同胞半设计可以具有足够的信息来精细映射QTL。建议将用于链接映射的具有相同动物的相同设计用于线映射,以便基因映射在牲畜种群中具有成本效益。

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