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Single- and multiple-trait mapping analysis of linked quantitative trait loci. Some asymptotic analytical approximations.

机译:链接的数量性状基因座的单性状和多性状作图分析。一些渐近解析近似。

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摘要

Estimating the resolution power of mapping analysis of linked quantitative trait loci (QTL) remains a difficult problem, which has been previously addressed mainly by Monte Carlo simulations. The analytical method of evaluation of the expected LOD developed in this article spreads the "deterministic sampling" approach for the case of two linked QTL for single- and two-trait analysis. Several complicated questions are addressed through this evaluation: the dependence of QTL detection power on the QTL effects, residual correlation between the traits, and the effect of epistatic interaction between the QTL for one or both traits on expected LOD (ELOD), etc. Although this method gives only an asymptotic estimation of ELOD, it allows one to get an approximate assessment of a broad spectrum of mapping situations. A good correspondence was found between the ELODs predicted by the model and LOD values averaged over Monte Carlo simulations.
机译:估计链接的数量性状基因座(QTL)作图分析的分辨能力仍然是一个难题,以前主要由蒙特卡洛模拟解决。本文开发的评估预期LOD的分析方法扩展了针对两个链接的QTL进行单性状和两性状分析的“确定性抽样”方法。通过此评估可以解决几个复杂的问题:QTL检测能力对QTL效果的依赖性,性状之间的残留相关性,以及一个或两个性状的QTL之间的上位互作对预期LOD(ELOD)的影响等。这种方法仅给出ELOD的渐近估计,它允许人们对各种制图情况进行近似评估。在模型预测的ELOD与通过蒙特卡洛模拟得出的平均LOD值之间找到了很好的对应关系。

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