Table 2.
Logistic regression analysis of MOG-142L, HLA-A*02, HLA-Cw* 05 and DRB1*15 alleles
Markers | OR (95% CI) adjusted values for: | ||||
---|---|---|---|---|---|
MOG-142L | HLA-A*02 | HLA-Cw*05 | DRB1*15 | All markers in the model | |
MOG-142L | 0.70 (0.59–0.83) | 0.87 (0.71–1.06) P=0.1761 | 0.70 (0.59–0.83) P=6.2 × 10−5 | 0.73 (0.61–0.87) P=0.0004 | 0.90 (0.73–1.10) |
HLA-A*02 | 0.65 (0.53–0.79) P=1.0 × 10−5 | 0.61 (0.51–0.72) | 0.61 (0.52–0.72) P=8.2 × 10−9 | 0.63 (0.53–0.75) P=1.0 × 10−7 | 0.66 (0.54–0.81) |
HLA-Cw*05 | 0.87 (0.67–1.13) P=0.2970 | 0.90 (0.69–1.17) P=0.4167 | 0.85 (0.65–1.10) | 0.88 (0.67–1.14) P=0.3348 | 0.92 (0.71–1.21) |
DRB1*15 | 2.90 (2.34–3.59) P=2.8 × 10−24 | 2.89 (2.33–3.58) P=6.3 × 10−24 | 2.94 (2.37–3.64) P=4.6 × 10−25 | 2.95 (2.38–3.65) | 2.87 (2.32–3.56) |
Abbreviations: CI, confidence intervals; OR, odds ratio.
Each marker in row is adjusted for markers in columns. In the last column the model includes all the markers.
The bolded diagonal values contain the crude values for each marker.
P-values are obtained from likelihood ratio test comparing the likelihood of the two-gene additive vs the single marker model considering as single marker the marker used for adjustment.