Table 4. Logistic regression analysis of five SNPs in three genetic models.

SNP	Genetic model		Univariate		Adjusted1
			OR (95% CI)	P-value	OR (95% CI)	P-value
rs1801131	Additive	CC vs AA	1.13 (0.62–2.04)	0.690	1.32 (0.45–3.86)	0.608
		AC vs AA	1.08 (0.88–1.33)	0.462	0.92 (0.64–1.33)	0.667
	Dominant	CC+AC vs AA	1.09 (0.89–1.32)	0.425	0.95 (0.67–1.35)	0.782
	Recessive	CC vs AC+AA	1.11 (0.61–2.00)	0.736	1.35 (0.47–3.92)	0.579
rs1801133	Additive	TT vs CC	0.89 (0.69–1.14)	0.340	1.24 (0.81–1.92)	0.324
		CT vs CC	0.93 (0.74–1.17)	0.540	1.38 (0.92–2.06)	0.117
	Dominant	TT+CT vs CC	0.91 (0.74–1.17)	0.405	1.32 (0.91–1.93)	0.143
	Recessive	TT vs CT+CC	0.93 (0.77–1.13)	0.464	1.00 (0.71–1.40)	0.999
rs9651118	Additive	CC vs TT	0.93 (0.66–1.32)	0.679	0.77 (0.41–1.46)	0.425
		TC vs TT	0.94 (0.78–1.13)	0.496	0.81 (0.58–1.12)	0.196
	Dominant	CC+TC vs TT	0.94 (0.79–1.12)	0.464	0.80 (0.59–1.10)	0.166
	Recessive	CC vs TC+TT	0.95 (0.68–1.34)	0.786	0.85 (0.45–1.58)	0.601
rs117353193	Additive	AA vs GG	-	-	-	-
		GA vs GG	0.99 (0.74–1.33)	0.955	0.59 (0.33–1.04)	0.069
	Dominant	AA+GA vs GG	0.98 (0.74–1.31)	0.910	0.56 (0.32–0.99)	0.0452
	Recessive	AA vs GA+GG	-	-	-	-
rs9916351	Additive	TT vs CC	1.25 (0.97–1.61)	0.091	1.13 (0.68–1.89)	0.644
		CT vs CC	1.13 (0.89–1.44)	0.304	0.86 (0.61–1.20)	0.552
	Dominant	TT+CT vs CC	0.88 (0.73–1.06)	0.176	0.91 (0.66–1.25)	0.552
	Recessive	TT vs CT+CC	0.85 (0.68–1.06)	0.155	1.23 (0.76–1.99)	0.398

¹Adjusted for gender, age, waistline, BMI, smoking, FBG, TC and TG.

²Significant difference (P<0.05).