Table 3. Best predictive gene-gene interaction models identified by multifactor dimensionality reduction analysis.
Model No. | Best Predictive Interaction Modela | Prediction Error (1-TBAb) | 10,000 Permutations P-value | c CVC (in %) |
I | TLR4Thr399Ile/IL12B+1188 | 0.318 | 0.024* | 95 |
II | TLR4Thr399Ile/LTA80 | 0.358 | 0.033* | 100 |
III | IL12B+1188/TNF-1031 | 0.341 | 0.013* | 100 |
IV | IL12B+1188/TLR9P545P | 0.329 | 0.005* | 100 |
V | IL12B+1188/LTA80 | 0.366 | 0.042* | 100 |
VI | TLR4Thr399Ile/IL12B+1188/LTA80 | 0.305 | 0.031* | 100 |
The best model was selected as the one with the minimum prediction error and maximum CVC.
TBA corresponds to the testing balanced accuracy defined as the prediction error (PE) = 1-TBA.
CVC corresponds to cross validation consistency.
P values for gene-gene interaction models were calculated after 10,000 permutations in MDRpt software.