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A Review of Family-Based Tests for Linkage Disequilibrium between a Quantitative Trait and a Genetic Marker

机译:定量性状与遗传标记之间连锁不平衡的基于家庭的测试的回顾。

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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.
机译:数量性状传播/不平衡测试(定量TDT)通常用于基于家庭的数量性状遗传关联研究。尽管可以使用各种定量TDT,但某些用户仍不了解这些测试的属性以及它们之间的关系。这篇综述旨在概述在经常使用的QTDT和FBAT软件包中进行的各种定量TDT程序的广泛功能。具体来说,我们讨论“ Rabinowitz”和“ Monks-Kaplan”程序,以及各种基于回归的“ Abecasis”和“ Allison”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,我们讨论了各种定量TDT检验的假设,最适合各种形式数据的检验程序,以及基于回归的检验是否克服了人口分层问题。最后,我们在选择要使用的测试时就功率因素进行了评论。我们希望这篇简短的评论将阐明各种定量TDT的异同。

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