Detection and parameter estimation for quantitative trait loci using regression models and multiple markers
Detection and parameter estimation for quantitative trait loci using regression models and multiple markers
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DOI：
10.1051/gse:2000124
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发表时间：
2000-07-01
影响因子：
4.1
通讯作者：
Schook, LB
中科院分区：
文献类型：
--
作者：
Da, Y;VanRaden, PM;Schook, LB
为确定不受连锁QTL影响的数量性状基因座(QTL)是否存在统计检验和参数估计，提出了一种多元最小条件回归分析方法。标记-QTL重组频率的估计只需要考虑三种情况：1)染色体上只有一个QTL，2)目标QTL一侧有一个或多个QTL，3)目标QTL两侧都有一个或多个QTL。推导出三种情况下标记-QTL重组率的解析式。对于情况1)，该公式包括两个侧翼标记；对于情况2)，两个侧翼标记加上一个条件标记；对于情况3)，两个侧翼标记加上两个条件标记。每个QTL的方差和效应，以及总的QTL方差也用解析公式进行了估计。模拟数据表明，所建立的标记-QTL重组频率估算公式可作为QTL精细定位的统计工具。通过1000个观察，如果不存在连锁QTL，则QTL可以定位到1.5 cM的狭窄染色体区域，如果目标QTL的两侧至少有一个连锁QTL，则可以定位到2.8 cM的染色体区域。
A strategy of multi-step minimal conditional regression analysis has been developed to determine the existence of statistical testing and parameter estimation for a quantitative trait locus (QTL) that are unaffected by linked QTLs. The estimation of marker-QTL recombination frequency needs to consider only three cases: 1) the chromosome has only one QTL, 2) one side of the target QTL has one or more QTLs, and 3) either side of the target QTL has one or more QTLs. Analytical formula was derived to estimate marker-QTL recombination frequency for each of the three cases. The formula involves two flanking markers for case 1), two flanking markers plus a conditional marker for case 2), and two flanking markers plus two conditional markers for case 3). Each QTL variance and effect, and the total QTL variance were also estimated using analytical formulae. Simulation data show that the formulae for estimating marker-QTL recombination frequency could be a useful statistical tool for fine QTL mapping. With 1000 observations, a QTL could be mapped to a narrow chromosome region of 1.5 cM if no linked QTL is present, and to a 2.8 cM chromosome region if either side of the target QTL has at least one linked QTL.