[논문]The Effect of Increasing Control-to-case Ratio on Statistical Power in a Simulated Case-control SNP Association Study

Kang, Moon-Su; Choi, Sun-Hee; Koh, In-Song

doi:10.5808/gi.2009.7.3.148

The Effect of Increasing Control-to-case Ratio on Statistical Power in a Simulated Case-control SNP Association Study 원문보기

Genomics & informatics, v.7 no.3, 2009년, pp.148 - 151

Kang, Moon-Su (Department of Physiology, College of Medicine, Hanyang University) , Choi, Sun-Hee (Department of Physiology, College of Medicine, Hanyang University) , Koh, In-Song (Department of Physiology, College of Medicine, Hanyang University)

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Generally, larger sample size leads to a greater statistical power to detect a significant difference. We may increase the sample size for both case and control in order to obtain greater power. However, it is often the case that increasing sample size for case is not feasible for a variety of reasons. In order to look at change in power as the ratio of control to case varies (1:1 to 4:1), we conduct association tests with simulated data generated by PLINK. The simulated data consist of 50 disease SNPs and 300 non-disease SNPs and we compute powers for disease SNPs. Genetic Power Calculator was used for computing powers with varying the ratio of control to case (1:1, 2:1, 3:1, 4:1). In this study, we show that gains in statistical power resulting from increasing the ratio of control to case are substantial for the simulated data. Similar results might be expected for real data.

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2000 for four models, respectively. First, assuming allele model, we computed the number of significant SNPs for disease SNPs, non-disease SNPs, and overall SNPs as the ratio of control to case changes. We also computed the estimated average power which is equal to E(S)/m (eq1), where S is the number of SNPs declared to be significant among disease SNPs and m is the number of disease SNPs.
, 2007) was used for generating simulated data with 50 disease SNPs and 300 non-disease SNPs (Table 1). In this data, we fixed the sample size for case as 50 but the sample size for control size varies from 50, 100, 150 to 200 in order to investigate the effect of the ratio of control to case on power. We set prevalence as 0.

참고문헌 (11)

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The Effect of Increasing Control-to-case Ratio on Statistical Power in a Simulated Case-control SNP Association Study 원문보기

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The Effect of Increasing Control-to-case Ratio on Statistical Power in a Simulated Case-control SNP Association Study 원문보기

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