Table 4.

Role of studied genetic factors in susceptibility to HIV infection

Factors	Impacta	β	OR	CI 95 %		p value	vif
CCR5-∆32	↓	−1.398	0.25	0.09	0.68	0.006	3.394
CCR2-64I	↓	−0.531	0.59	0.36	0.96	0.032	1.040
KIR2DL3	↓	−1.201	0.30	0.10	0.72	0.015	1.035
KIR2DL5	↑	0.757	2.13	1.19	3.96	0.013	1.873
KIR2DL2 in womenb	↑	0.767	2.15	1.08	4.70	0.040	1.190
KIR2DS1 in IDUc	↑	1.109	3.03	1.21	8.13	0.022	3.486
KIR3DS1 in IDUc	↓	−1.215	0.30	0.10	0.80	0.019	4.105
CCR5-∆32 in IDUc	↑	1.796	6.02	2.04	18.55	0.001	2.902
CCR5-∆32 in womenb	↓	−1.212	0.30	0.10	0.86	0.026	1.860
Intercept	–	2.297	–	–	–	6.88e-06	–

All data come from one regression model including all factors listed in the Table 3. There was no collinearity between the variables (vif < 10.0)

↑ - infection risk increased, ↓- infection risk reduced, β - coefficient in regression model, CI 95- % 95 % confidence interval, OR - odds ratio, vif - variance inflation factor, IDU - intravenous drug users

^aImpact on susceptibility to HIV infection

^bCompared with men

^cCompared with individuals sexually exposed to HIV