Spielman R S, Ewens W J
Department of Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104-6018, USA.
Am J Hum Genet. 1998 Feb;62(2):450-8. doi: 10.1086/301714.
Linkage analysis with genetic markers has been successful in the localization of genes for many monogenic human diseases. In studies of complex diseases, however, tests that rely on linkage disequilibrium (the simultaneous presence of linkage and association) are often more powerful than those that rely on linkage alone. This advantage is illustrated by the transmission/disequilibrium test (TDT). The TDT requires data (marker genotypes) for affected individuals and their parents; for some diseases, however, data from parents may be difficult or impossible to obtain. In this article, we describe a method, called the "sib TDT" (or "S-TDT"), that overcomes this problem by use of marker data from unaffected sibs instead of from parents, thus allowing application of the principle of the TDT to sibships without parental data. In a single collection of families, there might be some that can be analyzed only by the TDT and others that are suitable for analysis by the S-TDT. We show how all the data may be used jointly in one overall TDT-type procedure that tests for linkage in the presence of association. These extensions of the TDT will be valuable for the study of diseases of late onset, such as non-insulin-dependent diabetes, cardiovascular diseases, and other diseases associated with aging.
利用遗传标记进行连锁分析已成功地将许多单基因人类疾病的基因定位。然而,在复杂疾病的研究中,依赖连锁不平衡(连锁和关联同时存在)的检验通常比仅依赖连锁的检验更有效力。传递/不平衡检验(TDT)就说明了这一优势。TDT需要患病个体及其父母的数据(标记基因型);然而,对于某些疾病,来自父母的数据可能很难或无法获得。在本文中,我们描述了一种称为“同胞TDT”(或“S-TDT”)的方法,该方法通过使用未患病同胞的标记数据而非父母的数据来克服这一问题,从而使得TDT原理能够应用于没有父母数据的同胞对。在单一的家系集合中,可能有些家系只能用TDT进行分析,而其他家系则适合用S-TDT进行分析。我们展示了如何在一个整体的TDT型程序中联合使用所有数据,该程序在存在关联的情况下检验连锁。TDT的这些扩展对于研究晚发性疾病,如非胰岛素依赖型糖尿病、心血管疾病以及其他与衰老相关的疾病将具有重要价值。