“…In addition, no significant risks of publication bias were showed by Begg's test, Egger's tests, and funnel plots in all these analyses (Table S3 and Figure S5). N = 19 studies 3,4,6,7,12,[15][16][17]19,20,22,23,[25][26][27][29][30][31][32] (including n = 3874 cases and 4891 controls) explored the association between XRCC1 Arg399Gln polymorphisms and risk of cervical cancer. There were significant associations between XRCC1 Arg399Gln polymorphisms and risk of cervical cancer in total population under all four genetic models (GA vs. GG: OR = 1.22, 95%CI 1.05-1.42, I 2 = 53.8%, p value of Q test = 0.003; AA vs. GG: OR = 1.93, 95%CI 1.33-2.80, I 2 = 75.7%, p value of Q test <0.001; GA + AA vs. GG: OR = 1.33, 95%CI 1.12-1.57, I 2 = 66.3%, p value of Q test <0.001; AA vs. GG + GA: OR = 1.65, 95%CI 1.19-2.28, I 2 = 69.6%, p value of Q test <0.001; A vs. G: OR = 1.33, 95%CI 1.12-1.57, I 2 = 80.1%, p value of Q test <0.001) (Table 1 and Figure 3).…”