Table 6.
Power of GENN to detect either genetic model in data with genetic heterogeneity.
| Source of Noise | Power (%) to Detect Either Model (5,10 or 3,4) | |||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| GH | 79 | 89 | 38 | 24 | 16 | 19 |
| GE+GH | 92 | 90 | 41 | 24 | 16 | 22 |
| GH+PC | 22 | 22 | 4 | 5 | 6 | 4 |
| GH+MS | 65 | 62 | 26 | 19 | 17 | 15 |
| GE+GH+PC | 23 | 23 | 4 | 3 | 2 | 4 |
| GE+GH+MS | 83 | 61 | 23 | 15 | 17 | 10 |
| GH+PC+MS | 13 | 17 | 3 | 2 | 7 | 4 |
| GE+GH+PC+MS | 7 | 16 | 2 | 4 | 1 | 3 |
GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data