Rebai A, Goffinet B, Mangin B
Institut National de la Recherche Agronomique, Station de Biometrie et d'Intelligence Artificielle, Castanet-Tolosan, France.
Biometrics. 1995 Mar;51(1):87-99.
We compared the powers of two methods for detection of quantitative trait loci (QTL) using genetic markers, in the simple case of an interval between two codominant markers and a backcross population. The first method is the interval mapping approach, based on the use of likelihood ratio tests performed in many positions within the interval considered and the second is the classical analysis of variance (ANOVA) testing only on the positions of the two markers. For both approaches we took into account the correlation between tests performed at different markers or positions in the interval. Appropriate thresholds and powers of tests were then calculated using analytical formulations. Simulations were also done to check the validity of the approximations used to calculate the power of the interval mapping test. Results show that the interval mapping test is slightly more powerful (about 5%) than ANOVA for small intervals (less than 20 cM) and that, for quite large effects of the QTL, the advantage of interval mapping increases as the distance between markers increases. It is more than 30% for intervals of about 70 cM.
在两个共显性标记之间的区间以及回交群体这种简单情况下，我们比较了使用遗传标记检测数量性状基因座（QTL）的两种方法的效能。第一种方法是区间作图法，基于在考虑区间内的多个位置进行似然比检验；第二种方法是仅在两个标记位置进行的经典方差分析（ANOVA）。对于这两种方法，我们都考虑了在区间内不同标记或位置进行的检验之间的相关性。然后使用解析公式计算检验的适当阈值和效能。还进行了模拟以检验用于计算区间作图检验效能的近似方法的有效性。结果表明，对于小间隔（小于20厘摩），区间作图检验的效能比方差分析略高（约5%），并且对于QTL的相当大的效应，区间作图的优势随着标记之间距离的增加而增加。对于约70厘摩的区间，优势超过30%。
