不同家庭结构下的传递不平衡检验的功效(英文)

Power of Transmission/Disequilibrium Test with Different Family Structures

近年来 ,连锁和关联分析最流行的方法要属传递不平衡检验 (TDT) 而评估TDT的功效和样本大小至关重要 许多文章已讨论此问题 但以前的方法既不精确也不一般化 他们都作了一个简单的假设 ,即每个家庭仅有一个受累子代或两个受累同胞对或非受累同胞对 一个例外是Chen和Deng发展的方法 但他们并没有考虑不同比例的这些家庭对TDT功效和样本大小的影响 本文应用“PC”软件 ,调查了在四个遗传模式下不同的家庭结构对TDT功效的影响 ,考虑以下三种情形 :(1)不同家庭结构的不同比例 ,(2 )标记和易感基因间的不同重组率 ,(3)父母的不同致病状态 调查具有实践意义 因为在实际中 ,更多的是征集到不同结构的家庭

In recent years, the most popular method of linkage analysis and association analysis may be the Transmission / Disequilibrium test (TDT). It is crucial to evaluate the power and the sample size of TDT. Many papers have discussed this subject matter. But, previous approaches are neither accurate nor general. Generally they made a simple assumption that the family structure is unitary with either a single affected offsp0rong (SAO) or affected sib pairs (ASP) or discordant sib pair (DSP), except for those by Chen and Deng. But Chen and Deng did not consider the proportion of different familial structures. Here, employing a computer program developed by Chen and Deng: TDT power calculator (PC) , we investigate the effect of families with different family structures of ASO, ASP and DSP on power of TDT under four model of inheritance (multiplicative, recessive, additive, dominant), from three aspects (1) different proportion of different family structures, (2) different recombination between marker locus and disease-susceptibility locus (DSL), (3) different disease status of parents. We find that, as expected, the sample size of TDT increase with the proportion of SAO or DSP increasing and with the recombination approaching to 1/2. Investigation is of practical application. Because, in practice, families with different structures can be recruited much more. Considering saving time-consuming and financial-consuming, how to plan the proportions of different family structures is important.