Literature DB >> 10797592

Power comparison of regression methods to test quantitative traits for association and linkage.

X Zhu1, R C Elston.   

Abstract

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. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10797592     DOI: 10.1002/(SICI)1098-2272(200004)18:4<322::AID-GEPI5>3.0.CO;2-#

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  2 in total

1.  Nonparametric disequilibrium mapping of functional sites using haplotypes of multiple tightly linked single-nucleotide polymorphism markers.

Authors:  Rong Cheng; Jennie Z Ma; Fred A Wright; Shili Lin; Xin Gao; Daolong Wang; Robert C Elston; Ming D Li
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

2.  Combined linkage and association mapping of quantitative trait loci by multiple markers.

Authors:  Jeesun Jung; Ruzong Fan; Lei Jin
Journal:  Genetics       Date:  2005-03-31       Impact factor: 4.562

  2 in total

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