Table 2.
Power of GENN to detect correct functional epistatic loci.
| Source of Noise | Power (%) | |||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| None | 100 | 100 | 96 | 91 | 69 | 72 |
| GE | 100 | 100 | 96 | 85 | 58 | 68 |
| GH | 7 | 4 | 15 | 16 | 14 | 16 |
| PC | 88 | 92 | 21 | 12 | 17 | 21 |
| MS | 100 | 100 | 99 | 82 | 42 | 74 |
| GE+GH | 3 | 6 | 14 | 16 | 11 | 9 |
| GE+PC | 92 | 95 | 19 | 11 | 12 | 16 |
| GE+MS | 100 | 100 | 93 | 75 | 48 | 58 |
| GH+PC | 9 | 9 | 13 | 15 | 10 | 11 |
| GH+MS | 1 | 0 | 0 | 0 | 0 | 1 |
| PC+MS | 65 | 85 | 18 | 13 | 7 | 9 |
| GE+GH+PC | 3 | 9 | 2 | 2 | 7 | 3 |
| GE+GH+MS | 5 | 1 | 0 | 0 | 0 | 0 |
| GH+PC+MS | 0 | 0 | 0 | 0 | 0 | 0 |
| GE+PC+MS | 62 | 81 | 14 | 9 | 9 | 9 |
| GE+GH+PC+MS | 0 | 0 | 0 | 0 | 0 | 0 |
GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data