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

BMC Medical Genetics

Table 2 Relationships between the candidate SNPs and cervical cancer risk

Gene SNP ID	Model	Genotype	Case	Control	Adjusted by age and gender
Gene SNP ID	Model	Genotype	Case	Control	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
	Dominant	CT-TT	134	171	1.23 (0.93–1.64)	0.150
	Recessive	CC-CT	327	472	1.00	0.585
	Recessive	TT	15	26	0.83 (0.43–1.6)	0.585
	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
	Dominant	CA-AA	182	222	1.40 (1.06–1.84)	0.018
	Recessive	CC-CA	316	464	1.00	0.453
	Recessive	AA	26	31	1.23 (0.72–2.11)	0.453
	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
	Dominant	GA-AA	224	280	1.42 (1.07–1.89)	0.016
	Recessive	GG-GA	289	421	1.00	0.576
	Recessive	AA	53	69	1.12 (0.76–1.65)	0.576
	Log-additive	–	–	–	1.23 (1.00–1.50)	0.046

SNP single nucleotide polymorphism, OR odds ratio; 95% CI 95% confidence interval
p values were calculated by logistic regression analysis with adjustments for age and gender
p < 0.05 means the data is statistically significant

ISSN: 1471-2350