Table 3.
Associatioin between inferred haplotypes of the PIWIL1 genes and EOC risk
| Haplotypes | Cases (n = 394) | Controls (n = 698) | Crude OR (95% CI) | Pa | Adjusted OR (95% CI) | Pb |
|---|---|---|---|---|---|---|
| No.% | No.% | |||||
| GCG | 167 (42.39) | 260 (37.25) | 1.000 | 1.000 | ||
| GCC | 46 (11.68) | 90 (12.89) | 0.796 (0.531–1.193) | 0.269 | 0.809 (0.537–1.218) | 0.309 |
| GTG | 111 (28.17) | 246 (35.24) | 0.702 (0.522–0.945) | 0.020 | 0.688 (0.509–0.926) | 0.014 |
| GTC | 21 (5.33) | 33 (4.73) | 0.991 (0.554–1.771) | 0.980 | 1.010 (0.561–1.817) | 0.974 |
| ACC | 21 (5.33) | 28 (4.01) | 1.168 (0.642–2.124) | 0.612 | 1.123 (0.613–2.058) | 0.707 |
| ATC | 1 (0.25) | 0 | - | 0.979 | - | 0.979 |
| ATG | 1 (0.25) | 1 (0.14) | 1.557 (0.097–25.061) | 0.755 | 1.048 (0.065–16.953) | 0.973 |
| ACG | 26 (6.60) | 40 (5.73) | 1.012 (0.595–1.720) | 0.965 | 1.012 (0.592–1.731) | 0.966 |
aThe haplotypes order was rs1061027,rs10848087, rs35997018, rs10773771, rs7957349, rs1106042
bObtained in logistic regression models with adjustment for age and gender