A review of family-based tests for linkage disequilibrium between a quantitative trait and a genetic marker.
A review of family-based tests for linkage disequilibrium between a quantitative trait and a genetic marker.
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DOI：
10.1371/journal.pgen.1000180
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发表时间：
2008-09-26
期刊：
影响因子：
4.5
通讯作者：
Spielman, Richard S.
中科院分区：
文献类型：
--
作者：
Ewens, Warren J.;Li, Mingyao;Spielman, Richard S.
数量性状传递/不平衡检验（Quantitative Trait Transmission/Disequilibrium Tests，简称QTTs）是数量性状遗传关联研究中常用的方法。尽管有各种定量TDT，一些用户不知道这些测试的属性和它们之间的关系。这篇评论的目的是概述各种定量TDT程序的广泛特点进行了经常使用的QDT和FBAT包。具体来说，我们讨论了“Rabinowitz”和“Monks-Kaplan”程序，以及各种“Abecasis”和“Allison”回归为基础的程序。我们专注于这些测试中假设的模型以及它们之间的关系。此外，我们讨论了什么样的假设是由各种定量TDT测试，什么样的测试程序是最适合于各种形式的数据，以及是否回归为基础的测试克服人口分层问题。最后，我们评论的权力的考虑，在选择的测试要使用。我们希望这一简短的审查将阐明各种定量TDT的相似性和差异。
Quantitative trait transmission/disequilibrium tests (quantitative TDTs) are commonly used in family-based genetic association studies of quantitative traits. Despite the availability of various quantitative TDTs, some users are not aware of the properties of these tests and the relationships between them. This review aims at outlining the broad features of the various quantitative TDT procedures carried out in the frequently used QTDT and FBAT packages. Specifically, we discuss the “Rabinowitz” and the “Monks-Kaplan” procedures, as well as the various “Abecasis” and “Allison” regression-based procedures. We focus on the models assumed in these tests and the relationships between them. Moreover, we discuss what hypotheses are tested by the various quantitative TDTs, what testing procedures are best suited to various forms of data, and whether the regression-based tests overcome population stratification problems. Finally, we comment on power considerations in the choice of the test to be used. We hope this brief review will shed light on the similarities and differences of the various quantitative TDTs.
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影响因子：
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