Table 1 Genetic models for simulating risk SNPs for case control data.
From: Performance of random forest when SNPs are in linkage disequilibrium
|  |  | Allele | Marginal GRR | Penetrance Factors |  | K | λs | # Kept | ||
|---|---|---|---|---|---|---|---|---|---|---|
Model | Number | Frequency | Het | Hom | 0 | 1 | 2 | Â | Â | Â |
H1M1 | 1 | 0.03 | ∞ | ∞ | 0 | 0.9 | 0.9 | 0.05 | 9 | K1S1 |
H2M3 | 6 | 0.125 | 5.22 | 5.22 | 0 | 0.9 | 0.9 | 0.02 | 9 | K3S3 |
H3M3 | 9 | 0.106 | 3.47 | 3.47 | 0 | 0.9 | 0.9 | 0.02 | 9 | K3S3 |
H3M4 | 12 | 0.176 | 2.54 | 2.54 | 0 | 0.9 | 0.9 | 0.02 | 6 | K4S4 |
H9M2 | 18 | 0.031 | 3.02 | 3.02 | 0 | 0.9 | 0.9 | 0.03 | 9 | K2S2 |
H4M4 | 16 | 0.282 | 1.63 | 1.79 | 1.20E-08 | 0.79 | 1 | 0.10 | 2 | K4S4/K4S2 |
H8M4 | 32 | 0.214 | 1.34 | 1.4 | 2.80E-03 | 0.86 | 1 | 0.10 | 2 | K4S4 |