Kruse R, Seuchter S A, Baur M P, Knapp M
Institute for Medical Statistics, University of Bonn, Germany.
Genet Epidemiol. 1997;14(6):833-8. doi: 10.1002/(SICI)1098-2272(1997)14:6<833::AID-GEPI45>3.0.CO;2-O.
For the analysis of quantitative traits in nuclear families, extreme discordant sib pairs proved to be more powerful than unselected sib pairs. Here, we present a test that makes use of selected pairs and, in addition, restricts the parameters of the identical-by-descent distribution analogously to the "possible triangle" for affected sib pairs. In the Problem 2A data, extreme discordant sib pairs are selected. The analysis allowed the detection of most simulated major genes.
对于核心家庭中数量性状的分析，极端不一致的同胞对被证明比未选择的同胞对更具效力。在此，我们提出一种检验方法，该方法利用选定的同胞对，此外，类似于对患病同胞对的“可能三角形”，对同源相同分布的参数进行限制。在问题2A的数据中，选择了极端不一致的同胞对。该分析能够检测出大多数模拟的主基因。
