Power comparison of regression methods to test quantitative traits for association and linkage.
George et al. [1999 Am J Hum Genet 65:236-245] proposed a regression-based TDT method for quantitative traits consisting of regressing the trait on the parental transmission of a marker allele. Zhu and Elston [2000] also developed a TDT method for quantitative traits by defining a linear transformation to condition out founder information. Both methods test the null hypothesis of no linkage or association and can be applied to general pedigree structures. In this paper, we compare the power of these two methods through simulation, sampling those nuclear families with at least one heterozygous parent. Overall, we find that a variant of Zhu and Elston's method with 2 d.f. is more powerful. However, if the mode of inheritance is known, then a most powerful test with 1 d.f. can be found. All these regression TDT tests require linkage to detect association, but a test that does not require linkage will be more powerful.
Zhu
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Department of Epidemiology and Biostatistics, Case Western Reserve University, MetroHealth Medical Center, Cleveland, Ohio 44109-1998, USA.
Elston
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D000483:Alleles; D003198:Computer Simulation; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D009679:Nuclear Family; D010375:Pedigree; D010641:Phenotype; D011336:Probability; D012044:Regression Analysis