Zhu X, Elston R C
Department of Epidemiology and Biostatistics, Case Western Reserve University, MetroHealth Medical Center, Cleveland, Ohio 44109-1998, USA.
Genet Epidemiol. 2000 Apr;18(4):322-30. doi: 10.1002/(SICI)1098-2272(200004)18:4<322::AID-GEPI5>3.0.CO;2-#.
George et al. [1999 Am J Hum Genet 65:236-245] proposed a regression-based TDT method for quantitative traits consisting of regressing the trait on the parental transmission of a marker allele. Zhu and Elston [2000] also developed a TDT method for quantitative traits by defining a linear transformation to condition out founder information. Both methods test the null hypothesis of no linkage or association and can be applied to general pedigree structures. In this paper, we compare the power of these two methods through simulation, sampling those nuclear families with at least one heterozygous parent. Overall, we find that a variant of Zhu and Elston's method with 2 d.f. is more powerful. However, if the mode of inheritance is known, then a most powerful test with 1 d.f. can be found. All these regression TDT tests require linkage to detect association, but a test that does not require linkage will be more powerful.
乔治等人[1999年《美国人类遗传学杂志》65:236 - 245]提出了一种基于回归的定量性状传递不平衡检验（TDT）方法，该方法是将性状对标记等位基因的亲本传递进行回归分析。朱和埃尔斯顿[2000年]也开发了一种针对定量性状的TDT方法，通过定义一种线性变换来排除奠基者信息。这两种方法都检验无连锁或关联的零假设，并且可应用于一般的家系结构。在本文中，我们通过模拟比较这两种方法的检验效能，对至少有一个杂合亲本的核心家庭进行抽样。总体而言，我们发现朱和埃尔斯顿方法的一个自由度为2的变体检验效能更高。然而，如果遗传模式已知，那么可以找到一个自由度为1的最具检验效能的检验方法。所有这些基于回归的TDT检验都需要连锁来检测关联，但一种不需要连锁的检验方法将更具检验效能。
