Zeng Z B
Department of Statistics, North Carolina State University, Raleigh 27695-8203.
Proc Natl Acad Sci U S A. 1993 Dec 1;90(23):10972-6. doi: 10.1073/pnas.90.23.10972.
It is now possible to use complete genetic linkage maps to locate major quantitative trait loci (QTLs) on chromosome regions. The current methods of QTL mapping (e.g., interval mapping, which uses a pair or two pairs of flanking markers at a time for mapping) can be subject to the effects of other linked QTLs on a chromosome because the genetic background is not controlled. As a result, mapping of QTLs can be biased, and the resolution of mapping is not very high. Ideally when we test a marker interval for a QTL, we would like our test statistic to be independent of the effects of possible QTLs at other regions of the chromosome so that the effects of QTLs can be separated. This test statistic can be constructed by using a pair of markers to locate the testing position and at the same time using other markers to control the genetic background through a multiple regression analysis. Theory is developed in this paper to explore the idea of a conditional test via multiple regression analysis. Various properties of multiple regression analysis in relation to QTL mapping are examined. Theoretical analysis indicates that it is advantageous to construct such a testing procedure for mapping QTLs and that such a test can potentially increase the precision of QTL mapping substantially.
现在可以使用完整的遗传连锁图谱来定位染色体区域上的主要数量性状基因座（QTL）。当前的QTL定位方法（例如区间定位，它一次使用一对或两对侧翼标记进行定位）可能会受到染色体上其他连锁QTL的影响，因为遗传背景没有得到控制。因此，QTL的定位可能会产生偏差，并且定位分辨率不是很高。理想情况下，当我们测试一个QTL的标记区间时，我们希望我们的检验统计量独立于染色体其他区域可能存在的QTL的影响，以便能够分离出QTL的影响。这个检验统计量可以通过使用一对标记来定位测试位置，同时使用其他标记通过多元回归分析来控制遗传背景来构建。本文提出了相关理论，以探索通过多元回归分析进行条件检验的思路。研究了多元回归分析与QTL定位相关的各种性质。理论分析表明，构建这样一种用于定位QTL的检验程序是有利的，并且这样的检验有可能大幅提高QTL定位的精度。
