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. 2013 Oct 29;8(10):e78071. doi: 10.1371/journal.pone.0078071

Table 2. Summary ORs (95% CI) categorized by ethnicity for the XRCC1 Arg399Gln polymorphism under different genetic models and cancer type1.

Ethnicity Cancer type3 No. comparisons(SZ case/control) Dominant model Recessive model Additive model
OR (95% CI) P h /I 2 OR (95% CI) P h /I 2 OR (95% CI) P h /I 2
Asian Bladder cancer 4 (956/1,388) 0.86 (0.731.02) 0.401/0.0% 0.74 (0.56–0.99) 0.412/0.0% 0.71 (0.53–0.96) 0.421/0.0%
Breast cancer 9 (4,804/5,522) 1.00 (0.931.08) 0.225/24.6% 1.20 (1.04–1.39) 0.339/11.5% 1.18 (1.02–1.37) 0.269/19.5%
Cervical cancer 3 (715/1,238) 1.07 (0.881.29) 0.715/0.0% 1.23 (0.831.82) 0.841/0.0% 1.26 (0.851.88) 0.822/0.0%
Colorectal cancer 7 (2,662/4,541) 1.07 (0.891.30)* 0.003/69.4% 1.19 (0.841.70)* 0.009/67.2% 1.22 (0.821.82)* 0.002/72.8%
Esophageal cancer 6 (1,721/2,726) 1.04 (0.821.32)* 0.006/69.6% 1.33 (0.911.94)* 0.023/61.7% 1.37 (0.882.14)* 0.006/69.5%
Gastric cancer 5 (1,667/2,322) 2 <0.001/83.9% 1.06 (0.831.32) 0.545/0.0% 1.01 (0.691.48)* 0.070/53.9%
Hepatocellularcancer 5 (1,260/1,557) 1.39 (1.06–1.84)* 0.040/60.0% 1.14 (0.881.46) 0.881/0.0% 1.32 (0.991.76) 0.733/0.0%
Head and neckcancer 9 (1,718/2,018) 1.02 (0.81.28)* 0.009/61.0% 1.13 (0.881.45) 0.233/23.7% 1.11 (0.751.64)* 0.058/46.9%
Leukemia 3 (431/883) 2 0.001/85.6% 0.94 (0.551.60) 0.161/49.2% 1.20 (0.373.89)* 0.037/76.9%
Lung cancer 17 (6,010/6,550) 1.07 (0.971.19)* 0.031/42.9% 1.14 (0.941.39)* 0.053/39.4% 1.16 (0.931.46)* 0.013/49.5%
Prostate cancer 4 (669/762) 1.17 (0.931.46) 0.110/50.3% 1.43 (1.02–2.00) 0.383/1.9% 1.55 (1.02–2.33) 0.388/0.8%
Caucasian Bladder cancer 13 (4,834/5,198) 1.02 (0.941.11) 0.685/0.0% 0.91 (0.811.04) 0.736/0.0% 0.94 (0.821.07) 0.650/0.0%
Breast cancer 27 (18,056/18,909) 0.99 (0.941.05)* 0.036/35.6% 0.98 (0.921.04) 0.315/10.1% 0.99 (0.921.05) 0.182/19.6%
Colorectal cancer 14 (2,191/4,413) 1.02 (0.871.20)* 0.067/39.1% 1.18 (0.911.54)* 0.023/48.1% 1.15 (0.861.53)* 0.018/49.6%
Esophageal cancer 4 (568/1,233) 0.87 (0.711.07) 0.786/0.0% 1.01 (0.741.38) 0.675/0.0% 0.95 (0.681.32) 0.786/0.0%
Gastric cancer 8 (1,252/3,473) 0.97 (0.851.12) 0.317/14.4% 1.05 (0.851.30) 0.408/2.8% 1.04 (0.831.30) 0.385/5.9%
Glioma 6 (2,216/3,340) 2 <0.001/90.0% 2 <0.001/81.2% 2 <0.001/90.0%
Head and neckcancer 20 (4,785/7,185) 1.02 (0.941.10) 0.164/23.7% 0.93 (0.831.05) 0.223/18.6% 0.95 (0.841.08) 0.237/17.4%
Leukemia 10 (1,685/1,716) 1.14 (0.921.41)* 0.023/53.3% 1.07 (0.871.30) 0.182/28.5% 1.17 (0.831.67)* 0.013/57.1%
Lung cancer 19 (7,308/9,140) 0.98 (0.92–1.04) 0.560/0.0% 1.00 (0.87–1.16)* 0.054/38.4% 0.99 (0.89–1.10) 0.120/29.7%
Prostate cancer 7 (2,790/2,507) 1.05 (0.861.27)* 0.042/54.1% 1.00 (0.841.18) 0.452/0.0% 0.96 (0.801.15) 0.216/29.1%
Skin cancer 8 (3,361/3,548) 0.94 (0.851.04) 0.907/0.0% 0.93 (0.811.08) 0.212/27.1% 0.91 (0.781.06) 0.442/0.0%
African Breast cancer 4 (1,166/1,116) 1.28 (1.07–1.54) 0.348/9.1% 1.59 (0.962.64) 0.918/0.0% 1.81 (1.08–3.02) 0.988/0.0%
Lung cancer 3 (524/644) 1.04 (0.811.35) 0.682/0.0% 0.79 (0.391.62) 0.603/0.0% 0.80 (0.391.64) 0.645/0.0%
Indian Breast cancer 3 (632/715) 1.64 (1.31–2.04) 0.461/0.0% 1.94 (1.09–3.47)* 0.037/69.8% 2.06 (1.502.84) 0.230/31.9%
Head and neckcancer 3 (697/773) 2 <0.001/89.9% 2 0.012/77.3% 2 <0.001/86.0%
Prostate cancer 3 (516/750) 1.26 (1.00–1.58) 0.207/36.5% 2 0.001/86.6% 1.30 (0.732.31)* 0.024/73.0%
Mixed Breast cancer 11 (4,891/6,357) 1.10 (0.981.23)* 0.074/41.2% 1.00 (0.781.29)* <0.001/73.5% 1.07 (0.831.36)* <0.001/68.6%
Colorectal cancer 4 (2,716/3,092) 0.99 (0.891.10) 0.682/0.0% 1.17 (0.791.73)* 0.017/70.7% 1.14 (0.791.65)* 0.040/63.8%
Esophageal cancer 3 (757/2,125) 1.06 (0.891.26) 0.417/0.0% 1.17 (0.911.51) 0.805/0.0% 1.18 (0.90–1.55) 0.662/0.0%
Head and neckcancer 3 (592/1,430) 0.81 (0.670.99) 0.334/8.8% 2 0.014/76.7% 0.80 (0.431.50)* 0.024/73.1%
Skin cancer 3 (996/1,625) 1.06 (0.891.25) 0.383/0.0% 1.08 (0.841.39) 0.470/0.0% 1.11 (0.851.46) 0.485/0.0%
1

all summary ORs were calculated using fixed-effects models. In the case of significant heterogeneity (indicated by *), ORs were calculated using random-effects models;

2

the results were excluded due to high heterogeneity;

3

total bladder cancer comparisons add up to 17 (which should be 20) because 1 Africans study, 1 Indians study, and 1 mixed population study did not be included. The reason is same with breast cancer, colorectal cancer, hepatocellular cancer and so on; the bold values indicate that the results are statistically significant; SZ, sample size