TABLE I.
Power of extreme two-stage and traditional two-stage designs with different proportion of subjects (πSample) allocated in the stage1a
| β = 0.71b |
β = 0.50c |
β = 0.35d |
||||
|---|---|---|---|---|---|---|
| πSample | Extreme two-stage |
Traditional two-stage |
Extreme two-stage |
Traditional two-stage |
Extreme two-stage |
Traditional two-stage |
| 0.05 | 0.52 | 0.03 | 0.50 | 0.03 | 0.48 | 0.03 |
| 0.1 | 0.78 | 0.11 | 0.77 | 0.11 | 0.74 | 0.11 |
| 0.2 | 0.89 | 0.36 | 0.88 | 0.36 | 0.88 | 0.36 |
| 0.4 | 0.90 | 0.76 | 0.90 | 0.76 | 0.90 | 0.76 |
| 0.6 | 0.90 | 0.88 | 0.90 | 0.88 | 0.90 | 0.88 |
The proportion of markers selected to follow up in stage 2 (πmarker) is set to be 0.001. The MAF of the causal SNP is set to be 0.005. Genome-wide significance level is set to be 5.0 × 10−8. In the extreme two-stage design, we assume individuals from πsample/2 proportion on both tails of the phenotype are located in the first stage; in the traditional two-stage design, πsample proportion of individuals is randomly located in the first stage.
Corresponding to a variance contribution of 0.5%, total sample size is set to be 9,100 to ensure a maximum power of 0.90.
Corresponding to a variance contribution of 0.25%, total sample size is set to be 18,177 to ensure a maximum power of 0.90.
Corresponding to a variance contribution of 0.125%, total sample size is set to be 36,331 to ensure a maximum power of 0.90.