Table 3.
Type-I error rates and power estimates under the major parameter settings.
| Model | Type-I error (%) | Power (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| h2=0.2% | h2=0.4% | h2=0.6% | h2=0.8% | h2=1% | ||||||
| FE | 0 | 0 | 5.0 | 75.2 | 99.1 | 99.9 | 100.0 | 100.0 | ||
| 0 | 0.1 | 23.1 | 70.2 | 98.3 | 99.9 | 100.0 | 100.0 | |||
| 0.6 | 0 | 27.3 | 69.0 | 97.1 | 99.9 | 100.0 | 100.0 | |||
| 0.6 | 0.1 | 38.0 | 22.0 | 48.9 | 69.4 | 83.8 | 91.7 | |||
| RE | 0 | 0 | 3.8 | 41.5 | 75.6 | 89.4 | 95.7 | 98.6 | ||
| 0 | 0.1 | 17.9 | 52.9 | 91.1 | 98.8 | 99.7 | 99.9 | |||
| 0.6 | 0 | 8.1 | 13.4 | 43.9 | 71.9 | 86.5 | 94.4 | |||
| 0.6 | 0.1 | 13.6 | 1.0 | 2.0 | 2.1 | 2.7 | 2.9 | |||
Note: “FE” and “RE” denote fixed-effects and random-effects models, respectively; and denote between- and within-population variances, respectively; h2 represents heritability (phenotypic variation explained by the SNP). 10 individual GWA studies, each with 2,000 individuals, were included in the meta-analysis.