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. Author manuscript; available in PMC: 2011 Dec 1.
Published in final edited form as: Hum Genet. 2010 Sep 7;128(6):597–608. doi: 10.1007/s00439-010-0880-x

Table 1.

Power of the Cochran-Armitage trend test for 1- and 2-stage study designs across a range of sample sizes, SNPs in stage 1, and disease prevalences. Study controls are assumed to be screened and disease free.

Number of Public Controls
2,000 5,000 10,000

Ka Study Controls Only Public Controls Only Study + Public Controls Two-Stageb Public Controls Only Study + Public Controls Two-Stageb Public Controls Only Study + Public Controls Two-Stageb
2,000 Cases and 2,000 Screened Study Controls/500,000 SNPs
0.0001 0.57 0.56 0.85 0.71 0.90 0.94 0.82 0.97 0.97 0.84
0.01 0.59 0.56 0.86 0.72 0.90 0.94 0.82 0.97 0.97 0.85
0.05 0.68 0.56 0.89 0.76 0.90 0.96 0.86 0.97 0.98 0.88
0.1 0.79 0.56 0.92 0.82 0.90 0.96 0.89 0.97 0.98 0.91
0.25 0.98 0.56 0.99 0.95 0.90 0.99 0.97 0.97 0.99 0.97
0.5 1.00 0.56 1.00 1.00 0.90 1.00 1.00 0.97 1.00 1.00
a

Population prevalence of disease

b

Optimal replication-based two-stage design using all public controls in stage 1 and all screened controls in stage 2, 2-sided test in stage 1 and 1-sided test in stage 2

Risk allele frequency in general population (fD) = 0.3, genetic relative risk (GRR) = 1.3 assuming a multiplicative model, overall type I error (α) = 0.05

fD = 0.3 corresponds to fD = 0.358 in cases for all K and fD = 0.300, 0.299, 0.297, 0.293, 0.278, 0.228 in screened controls for K = 0.0001, 0.01, 0.05, 0.1, 0.25, and 0.5, respectively