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Comparison of multivariate tests for genetic linkage
被引:82
|作者:
Amos, CI
de Andrade, M
Zhu, DK
机构:
[1] Univ Texas, MD Anderson Canc Ctr, Dept Epidemiol, Houston, TX 77030 USA
[2] Univ Texas, MD Anderson Canc Ctr, Dept Biomath, Houston, TX 77030 USA
关键词:
linkage;
multivariate analysis;
variance components;
statistical genetics;
D O I:
10.1159/000053334
中图分类号:
Q3 [遗传学];
学科分类号:
071007 ;
090102 ;
摘要:
Objectives: Multivariate tests for linkage can provide im proved power over univariate tests but the type I error rates and comparative power of commonly used methods have not previously been compared. Here we studied the behavior of bivariate formulations of the variance component (VC) and Haseman-Elston (H-E) approaches. Methods: We compared through simulation studies the bivariate H-E test with the unconstrained bivariate VC approach and with a VC approach in which the major-gene correlation is constrained to +/-1. We also compared these methods to univariate methods, Results: Bivariate approaches are more powerful than univariate analyses unless the traits are very highly positively correlated. The power of the bivariate H-E test was less than the VC procedures. The constrained test was often less powerful than the unconstrained test. The empirical distributions of the bivariate H-E test and the unconstrained bivariate VC test conformed with asymptotic distributions for samples of 100 or more sibships of size 4, Conclusions: The unconstrained VC test is valuable for testing for preliminary linkages using multivariate phenotypes. The bivariate H-E test was less powerful than the bivariate VC tests. Copyright (C) 2001 S. Karger AG, Basel.
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页码:133 / 144
页数:12
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