INRA Station de Génétique Quantitative et Appliquée, Jouy-en-Josas, France.
Theor Appl Genet. 1996 Jul;93(1-2):71-80. doi: 10.1007/BF00225729.
In this paper we consider the detection of individual loci controlling quantitative traits of interest (quantitative trait loci or QTLs) in the large half-sib family structure found in some species. Two simple approaches using multiple markers are proposed, one using least squares and the other maximum likelihood. These methods are intended to provide a relatively fast screening of the entire genome to pinpoint regions of interest for further investigation. They are compared with a more traditional single-marker least-squares approach. The use of multiple markers is shown to increase power and has the advantage of providing an estimate for the location of the QTL. The maximum-likelihood and the least-squares approaches using multiple markers give similar power and estimates for the QTL location, although the likelihood approach also provides estimates of the QTL effect and sire heterozygote frequency. A number of assumptions have been made in order to make the likelihood calculations feasible, however, and computationally it is still more demanding than the least-squares approach. The least-squares approach using multiple markers provides a fast method that can easily be extended to include additional effects.
在本文中，我们考虑了在某些物种中发现的大型半同胞家系结构中控制感兴趣的数量性状的单个基因座（数量性状基因座或 QTL）的检测。提出了两种使用多个标记的简单方法，一种使用最小二乘法，另一种使用最大似然法。这些方法旨在提供一种相对快速的全基因组筛选，以确定进一步研究的感兴趣区域。将它们与更传统的单标记最小二乘法进行了比较。使用多个标记被证明可以提高功效，并且具有提供 QTL 位置估计的优点。最大似然和最小二乘多标记方法都提供了类似的 QTL 位置的功效和估计，尽管似然方法还提供了 QTL 效应和 sire 杂合频率的估计。然而，为了使似然计算可行，已经做出了许多假设，并且在计算上它仍然比最小二乘法要求更高。使用多个标记的最小二乘方法提供了一种快速方法，可轻松扩展以包含其他效应。
