Table 2.
Total and stratified analysis of ABCG2 C421A polymorphism on cancer risk
Variables | AA versus CC | AC versus CC | A versus C | Recessive model | Dominant model | |||||
---|---|---|---|---|---|---|---|---|---|---|
|
OR(95%CI) |
Pa |
OR(95%CI) |
Pa |
OR(95%CI) |
Pa |
OR(95%CI) |
Pa |
OR(95%CI) |
Pa |
Total |
1.021(0.730-1.428) |
0.784 |
0.759(0.620-0.930)b |
0.004 |
0.809(0.687-0.952)b |
0.013 |
1.067(0.768-1.482) |
0.935 |
0.771(0.634-0.938)b |
0.005 |
Cancer type | ||||||||||
colorectal cancer |
1.073(0.491-2.344) |
0.470 |
0.791(0.633-0.988) |
0.445 |
0.840(0.688-1.025) |
0.353 |
1.127(0.516-2.462) |
0.494 |
0.806 (0.649-1.001) |
0.388 |
lymphoma |
1.200(0.736-1.958) |
0.541 |
0.867(0.544-1.381) b |
0.003 |
0.874(0.600-1.273) b |
0.004 |
1.113 (0.692-1.791) |
0.724 |
0.875(0.552-1.385) b |
0.002 |
leukemia |
1.371(0.507-3.704) |
0.750 |
0.744(0.426-1.299) b |
0.038 |
0.741(0.577-0.951) |
0.072 |
1.474(0.543-4.002) |
0.752 |
0.762(0.451-1.290) b |
0.049 |
other |
0.627(0.314-1.251) |
0.419 |
0.574(0.407-0.808) |
0.205 |
0.669(0.511-0.876) |
0.827 |
0.822(0.420-1.607) |
0.309 |
0.582 (0.420-0.807) |
0.347 |
Source of control | ||||||||||
Population based |
0.684(0.383-1.223) |
0.661 |
0.647(0.510-0.821) |
0.289 |
0.710(0.582-0.867) |
0.800 |
0.840(0.477-1.480) |
0.594 |
0.654(0.520-0.823) |
0.406 |
Hospital based |
1.155(0.683-1.954) |
0.897 |
0.721(0.627-0.829) |
0.127 |
0.780(0.687-0.885) |
0.158 |
1.225(0.724-2.075) |
0.904 |
0.739(0.645-0.847) |
0.133 |
HB + PB |
- |
|
|
|
- |
|
- |
|
- |
|
Ethnicity | ||||||||||
Asian |
1.040(0.633-1.707) |
0.143 |
0.856(0.287-2.549) b |
0.000 |
0.923(0.478-1.784)b |
0.002 |
1.069(0.666-1.715) |
0.623 |
0.882(0.317-2.457) b |
0.000 |
Caucasian | 1.006(0.637-1.587) | 0.846 | 0.723(0.638-0.820) | 0.280 | 0.773( 0.690-0.866) | 0.320 | 1.065(0.675-1.682) | 0.849 | 0.737(0.652-0.833) | 0.293 |
aP value of Q-test for heterogeneity test.
bRandom-effects model was used when P value for heterogeneity test <0.05; otherwise, fix-effects model was used.