ArticleBiometrical journal. Biometrische Zeitschrift2014
Analytic power and sample size calculation for the genotypic transmission/disequilibrium test in case-parent trio studies.
Article in Biometrical journal. Biometrische Zeitschrift, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Effects of MAO-A and CYP450 on primaquine metabolism in healthy volunteers.Parasitology research · 2019Trial
- Knockoff-Based Fine Mapping of MS-Associated SNPs in Sardinian Trios.Biochemical genetics · 2026Article
- No Association of Variants of the NPY-System With Obsessive-Compulsive Disorder in Children and Adolescents.Frontiers in molecular neuroscience · 2019Article
- Detecting gene-environment interactions in human birth defects: Study designs and statistical methods.Birth defects research. Part A, Clinical and molecular teratology · 2015Article
- Detecting disease variants in case-parent trio studies using the bioconductor software package trio.Genetic epidemiology · 2014Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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