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Table 2 Relationships between the candidate SNPs and cervical cancer risk

From: Genetic polymorphisms of PGF and TNFAIP2 genes related to cervical cancer risk among Uygur females from China

Gene
SNP ID
Model Genotype Case Control Adjusted by age and gender
OR (95%CI) p
PGF
rs8019391
Genotype CC 208 327 1.00  
CT 119 145 1.29 (0.96–1.74) 0.093
TT 15 26 0.91 (0.47–1.76) 0.777
Dominant CC 208 327 1.00 0.150
CT-TT 134 171 1.23 (0.93–1.64)
Recessive CC-CT 327 472 1.00 0.585
TT 15 26 0.83 (0.43–1.6)
Log-additive 1.13 (0.89–1.42) 0.324
PGF
rs2268615
Genotype CC 160 273 1.00  
CA 156 191 1.39 (1.04–1.86) 0.024
AA 26 31 1.43 (0.82–2.49) 0.209
Dominant CC 160 273 1.00 0.018
CA-AA 182 222 1.40 (1.06–1.84)
Recessive CC-CA 316 464 1.00 0.453
AA 26 31 1.23 (0.72–2.11)
Log-additive 1.29 (1.03–1.61) 0.027
TNFAIP2
rs710100
Genotype GG 118 210 1.00  
GA 171 211 1.44 (1.07–1.95) 0.018
AA 53 69 1.37 (0.89–2.08) 0.150
Dominant GG 118 210 1.00 0.016
GA-AA 224 280 1.42 (1.07–1.89)
Recessive GG-GA 289 421 1.00 0.576
AA 53 69 1.12 (0.76–1.65)
Log-additive 1.23 (1.00–1.50) 0.046
  1. SNP single nucleotide polymorphism, OR odds ratio; 95% CI 95% confidence interval
  2. p values were calculated by logistic regression analysis with adjustments for age and gender
  3. p < 0.05 means the data is statistically significant