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分子标记与QTL间重组率的估计及Monte Carlo模拟
Estimation of recombinant fraction between a molecular marker and a quantitative trait locus and Monte Carlo simulation.
【摘要】 描述了分子标记-数量性状基因座位(QTL)之间重组率的矩估计法和最大似然估计法,两种方法都考虑了QTL基因型间数量性状方差的同质性和异质性。MonteCarlo模拟表明,采用最大似然法能比矩估计法获得更为准确的重组率估计值,标记-QTL之间的松驰连锁通常与重组率及有关参数估值的偏倚有关,将LOD值与似然比检验相结合,为重组率估值及连锁强度的相互比较提供了有效的方法。
【Abstract】 Moment and maximum likelihood methods were described to estimate the recombi- nant fraction between a molecular marker and a quantitative trait locus (QTL)with both homoge-nous and heterogenous variances of quantitative traits among QTL genotypes. Monte Carlo simula-tion resuits indicated that maximum likelihood algorithm provides more accurate estimates of re-combinant fraction than the moment solutions,and the based estimates of recombinant fraction and other parameters were usually associated with loose marker-QTL linkage;A powerful method was suggested for comparison of linkage intensity among different marker-QTL combinations,by LOD scores with likelihood ratio test.
【Key words】 quantitative trait loci; molecular marker; recombinant fraction; moment solution; maximum likelihood algorithm.;
- 【文献出处】 浙江农业大学学报 ,Journal of Zhejiang Agricultural University , 编辑部邮箱 ,1994年06期
- 【分类号】Q141
- 【被引频次】5
- 【下载频次】313