Table 4.
Power of GENN to detect primary genetic model in data with genetic heterogeneity.
| Source of Noise | Power (%) to Detect Primary Model (5,10) | |||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| GH | 34 | 49 | 20 | 13 | 8 | 11 |
| GE+GH | 48 | 49 | 20 | 13 | 8 | 10 |
| GH+PC | 10 | 11 | 3 | 0 | 4 | 3 |
| GH+MS | 31 | 35 | 12 | 11 | 9 | 9 |
| GE+GH+PC | 11 | 8 | 3 | 0 | 1 | 2 |
| GE+GH+MS | 43 | 29 | 13 | 7 | 8 | 5 |
| GH+PC+MS | 3 | 8 | 3 | 1 | 5 | 3 |
| GE+GH+PC+MS | 4 | 8 | 1 | 3 | 0 | 2 |
GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data