Dupuis J, Siegmund D
Genome Therapeutics Corporation, Waltham, Massachusetts 02453, USA.
Genetics. 1999 Jan;151(1):373-86. doi: 10.1093/genetics/151.1.373.
Lander and Botstein introduced statistical methods for searching an entire genome for quantitative trait loci (QTL) in experimental organisms, with emphasis on a backcross design and QTL having only additive effects. We extend their results to intercross and other designs, and we compare the power of the resulting test as a function of the magnitude of the additive and dominance effects, the sample size and intermarker distances. We also compare three methods for constructing confidence regions for a QTL: likelihood regions, Bayesian credible sets, and support regions. We show that with an appropriate evaluation of the coverage probability a support region is approximately a confidence region, and we provide a theroretical explanation of the empirical observation that the size of the support region is proportional to the sample size, not the square root of the sample size, as one might expect from standard statistical theory.
兰德和博斯坦因引入了统计方法，用于在实验生物的整个基因组中搜索数量性状基因座（QTL），重点是回交设计以及仅具有加性效应的QTL。我们将他们的结果扩展到杂交和其他设计，并根据加性和显性效应的大小、样本量和标记间距离来比较所得检验的功效。我们还比较了三种构建QTL置信区域的方法：似然区域、贝叶斯可信集和支持区域。我们表明，通过对覆盖概率进行适当评估，支持区域近似为一个置信区域，并且我们为以下经验观察提供了理论解释：支持区域的大小与样本量成正比，而不是如标准统计理论所预期的与样本量的平方根成正比。
