Table 4 Classification results using different genetic models
From: Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
| Â | Classification | Classification | P-Hat (quantiles, case versus control) | ||
|---|---|---|---|---|---|
Genetic model | sensitivity | specificity | 25% | 50% | 75% |
Discovery dataset (N = 8,844) | Â | Â | Â | Â | Â |
   12 Genesa | 35.1% | 93.5% | 0.23 0.07 | 0.38 0.13 | 0.59 0.27 |
   350 Genesb | 79.9% | 95.8% | 0.65 0.00 | 0.90 0.01 | 0.99 0.06 |
Validation dataset (N = 3,606) | Â | Â | Â | Â | Â |
   12 Genesa | 54.3% | 74.0% | 0.36 0.30 | 0.53 0.36 | 0.63 0.51 |
   350 Genesb | 62.3% | 75.9% | 0.41 0.19 | 0.59 0.32 | 0.74 0.49 |