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Factors affecting statistical power in the detection of genetic association
Derek Gordon, Stephen J. Finch
Derek Gordon, Stephen J. Finch
Published June 1, 2005
Citation Information: J Clin Invest. 2005;115(6):1408-1418. https://doi.org/10.1172/JCI24756.
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Factors affecting statistical power in the detection of genetic association

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Abstract

The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.

Authors

Derek Gordon, Stephen J. Finch

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Figure 3

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Minimum sample size requirement (cases and controls) for case-control de...
Minimum sample size requirement (cases and controls) for case-control design for different values of SNP marker allele frequency. This figure provides the minimum number of cases and controls assuming the following genetic model parameters: f0 = 0.0061, f1 = 0.0184, f2 = 0.0551, pd = 0.2, and LD measure D′ = 1 between disease allele and marker allele A. Note that the penetrances satisfy the equations: f1 = 3 f0, f2 = 9 f0. The marker allele frequency is denoted by pA and the disease allele frequency is denoted by pd. Using the genetic model parameters, it follows that the prevalence of the disease is 0.012 (assuming that the 2 alleles at the disease locus are in HWE).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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