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最大似然模型用于映射显示分离失真的遗传标记。1. 回交群体。

Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populations.

机构信息

CIRAD-BIOTROP, B.P.5035, 34032, Montpellier Cedex 1, France.

出版信息

Theor Appl Genet. 1995 Jan;90(1):73-80. doi: 10.1007/BF00220998.

Abstract

A maximum-likelihood approach is used in order to estimate recombination fractions between markers showing segregation distortion in backcross populations. It is assumed that the distortions are induced by viability differences between gametes or zygotes due to one or more selected genes. We show that Bailey's (1949) estimate stays consistent and efficient under more general assumptions than those defined by its author. This estimate should therefore be used instead of the classical maximum-likelihood estimate. The question of detection of linkage is also discussed. We show that the order of markers on linkage groups may be affected by segregation distortion.

摘要

采用最大似然法来估计在回交群体中显示分离失真的标记之间的重组分数。假设这种失真由配子或合子之间的生存力差异引起,原因是一个或多个选择基因。我们表明,在比其作者定义的更一般的假设下,贝利(1949)的估计保持一致和有效。因此,应该使用这个估计值而不是经典的最大似然估计值。还讨论了检测连锁的问题。我们表明,连锁群上标记的顺序可能会受到分离失真的影响。

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