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. 2021 Apr;10(1):84–94. doi: 10.52547/rbmb.10.1.84

Table 6.

Prediction of RA through complete profile of KIR using multivariable logistic regression.

KIR genes Adjusted odds ratio 95% CI SE Z p value -log(p)
KIR2DL4 NA
KIR3DL2 NA
KIR3DL3 NA
KIR2DP1 NA
KIR2DL1 NA
KIR2DL2 5.284 0.292-95.64 7.807 1.13 0.260 0.585202
KIR2DL3 0.136 0.028-0.657 0.109 -2.48 0.013* 1.884818
KIR2DL5A 0.195 0.049-0.783 0.138 -2.31 0.021* 1.674194
KIR2DL5B 0.83 0.311-2.212 0.415 -0.37 0.709 0.149176
KIR3DL1 0.073 0.006-0.850 0.091 -2.09 0.037* 1.435487
KIR2DS1 0.696 0.041-11.707 1.002 -0.25 0.801 0.096277
KIR2DS2 0.301 0.016-5.798 0.454 -0.8 0.426 0.370124
KIR2DS3 0.593 0.116-3.021 0.492 -0.63 0.529 0.276502
KIR2DS4full 18.531 5.453-62.972 11.565 4.68 <0.001*** 5.537358
KIR2DS4del 3.894 1.107-13.69 2.498 2.12 0.034* 1.467455
KIR2DS5 0.91 0.116-7.131 0.956 -0.09 0.929 0.032058
KIR3DS1 6.873 0.625-75.614 8.409 1.58 0.115 0.938657
KIR3DP1full 1.575 0.621-3.991 0.747 0.96 0.338 0.470567
KIR3DP1del 1.343 0.173-10.412 1.404 0.28 0.778 0.109256

Nagelkerke R square= 0.429. NA: not applicable because of collinearity.

*

Significant at 0.05.

***

Significant at 0.001.