Table 7.
Logistic regression analysis of CXCR2 rs2230054 C>T gene polymorphism using different inheritance models for prediction of susceptibility to COVID-19.
| Genotypes |
Control Group
(N=115) |
COVID-19 Patients (N=115) |
Odd Ratio
OR (95% CI) |
Risk Ratio
RR (95% CI) |
P Value | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Codominant Inheritance model | ||||||||||||||
| CXCR2-TT | 48 | 30 | 1(Ref.) | 1(Ref.) | - | |||||||||
| CXCR2-CT | 59 | 77 | 2.0(1.1842 to 3.681) | 1.41(1.094 – 1.836) | 0.011 | |||||||||
| CXCR2-CC | 8 | 8 | 1.60(0.543 to 4.711) | 1.23(0.7314 to 2.0711) | 0.394 | |||||||||
| Dominant Inheritance Model | ||||||||||||||
| CXCR2-TT | 48 | 30 | 1(Ref.) | 1(Ref.) | - | |||||||||
| CXCR2 (CT+CC) | 67 | 85 | 2.0(1.162 to 3.54) | 1.39(1.0865- 1.793) | 0.012 | |||||||||
| Recessive Inheritance Model | ||||||||||||||
| CXCR2 -(TT+CT) | 107 | 107 | 1(Ref.) | 1(Ref.) | - | |||||||||
| CXCR2-CC | 8 | 8 | 1.0(0.3620 to 2.76) | 1.10(0.6017 to 1.6619) | 1.00 | |||||||||
| Allele | - | - | - | - | - | |||||||||
| CXCR2-T | 155 | 137 | 1(Ref.) | 1(Ref.) | - | |||||||||
| CXCR2-C | 8 | 8 | 1.13(0.4136 to 3.094) | 1.06(0.6403 - 1.7509) | 0.810 | |||||||||
| Over Dominant Inheritance Model | ||||||||||||||
| CXCR2-(CC+TT) | 56 | 38 | 1(Ref.) | 1(Ref.) | - | |||||||||
| CXCR2 (CT) | 59 | 77 | 1.92(1.128 to 3.27) | 1.37(1.0650 to 1.7706) | 0.016 | |||||||||
| Association of IL-10 (-1082 G>A), rs1800896 Genotypes and Alleles | ||||||||||||||
| - | AA | CA | CC | - | - | A | C | - | ||||||
| COVID-19 patients | 111 | 40(30.03%) | 51(45.94%) | 20(18%) | 2 | 10.91 | 0.59 | 0.41 | 0.004 | |||||
| Controls | 111 | 63(56.75%) | 39(35.13%) | 9(8.10%) | - | - | 0.75 | 0.25 | - | |||||