Literature DB >> 25123830

Analytic power and sample size calculation for the genotypic transmission/disequilibrium test in case-parent trio studies.

Christoph Neumann1, Margaret A Taub, Samuel G Younkin, Terri H Beaty, Ingo Ruczinski, Holger Schwender.   

Abstract

Case-parent trio studies considering genotype data from children affected by a disease and their parents are frequently used to detect single nucleotide polymorphisms (SNPs) associated with disease. The most popular statistical tests for this study design are transmission/disequilibrium tests (TDTs). Several types of these tests have been developed, for example, procedures based on alleles or genotypes. Therefore, it is of great interest to examine which of these tests have the highest statistical power to detect SNPs associated with disease. Comparisons of the allelic and the genotypic TDT for individual SNPs have so far been conducted based on simulation studies, since the test statistic of the genotypic TDT was determined numerically. Recently, however, it has been shown that this test statistic can be presented in closed form. In this article, we employ this analytic solution to derive equations for calculating the statistical power and the required sample size for different types of the genotypic TDT. The power of this test is then compared with the one of the corresponding score test assuming the same mode of inheritance as well as the allelic TDT based on a multiplicative mode of inheritance, which is equivalent to the score test assuming an additive mode of inheritance. This is, thus, the first time the power of these tests are compared based on equations, yielding instant results and omitting the need for time-consuming simulation studies. This comparison reveals that these tests have almost the same power, with the score test being slightly more powerful.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Case-parent trio design; Conditional logistic regression; Genome-wide association studies; Power calculation; Wald test

Mesh:

Year:  2014        PMID: 25123830      PMCID: PMC4206700          DOI: 10.1002/bimj.201300148

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  16 in total

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Journal:  Genet Epidemiol       Date:  2002-11       Impact factor: 2.135

5.  Power calculations for a general class of family-based association tests: dichotomous traits.

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Review 7.  The TDT and other family-based tests for linkage disequilibrium and association.

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Journal:  Am J Hum Genet       Date:  1996-11       Impact factor: 11.025

8.  Comparison of statistics for candidate-gene association studies using cases and parents.

Authors:  D J Schaid; S S Sommer
Journal:  Am J Hum Genet       Date:  1994-08       Impact factor: 11.025

9.  Rapid testing of SNPs and gene-environment interactions in case-parent trio data based on exact analytic parameter estimation.

Authors:  Holger Schwender; Margaret A Taub; Terri H Beaty; Mary L Marazita; Ingo Ruczinski
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10.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

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  3 in total

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Authors:  Holger Schwender; Qing Li; Christoph Neumann; Margaret A Taub; Samuel G Younkin; Philipp Berger; Robert B Scharpf; Terri H Beaty; Ingo Ruczinski
Journal:  Genet Epidemiol       Date:  2014-07-21       Impact factor: 2.135

2.  Detecting gene-environment interactions in human birth defects: Study designs and statistical methods.

Authors:  Caroline G Tai; Rebecca E Graff; Jinghua Liu; Michael N Passarelli; Joel A Mefford; Gary M Shaw; Thomas J Hoffmann; John S Witte
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3.  Effects of MAO-A and CYP450 on primaquine metabolism in healthy volunteers.

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