Fibrinogen beta variants confer protection against coronary artery disease in a Greek case-control study

BMC Medical Genetics

Table 3 Results from logistic regression analysis for SNPs with significant associations before adjustment.

GENE	SNP	Genotype frequency			Minor allele frequency		Model	OR;95% CI	P-value	adjusted OR; 95% CI^a	adjusted P-value^a
			Cases	Controls	Cases	Controls
		AA	0.36	0.46			Additive	1.26;1.00-1.59	0.055	1.26;0.97-1.63	0.081
FGA	rs2070006	AG	0.51	0.41	0.39	0.34	Dominant	1.51;1.09-2.09	0.013	1.39;0.97-1.99	0.077
		GG	0.13	0.13			Recessive	1.07;0.67-1.70	0.788	1.28;0.77-2.14	0.336
		GG	0.56	0.58			Additive	0.92; 0.71-1.19	0.514	0.88;0.66-1.17	0.376
FGB	rs1800789	GA	0.39	0.33	0.24	0.26	Dominant	1.06; 0.77-1.46	0.733	1.00;0.70-1.44	0.990
		AA	0.05	0.09			Recessive	0.47; 0.24-0.92	0.026	0.42;0.19-0.90	0.026
		CC	0.58	0.55			Additive	0.83; 0.64-1.07	0.153	0.77;0.58-1.03	0.076
FGB	rs1800787	CT	0.37	0.36	0.24	0.27	Dominant	0.89; 0.65-1.23	0.473	0.81;0.57-1.16	0.254
		TT	0.05	0.09			Recessive	0.50; 0.26-0.96	0.039	0.44;0.21-0.94	0.034
		GG	0.61	0.70			Additive	1.31;0.99-1.75	0.062	1.32;0.97-1.80	0.077
FGG	rs2066865	GA	0.34	0.26	0.21	0.17	Dominant	1.40;1.00-1.97	0.051	1.42;0.98-2.07	0.066
		AA	0.05	0.04			Recessive	1.31;0.59-2.93	0.513	1.35;0.58-3.12	0.486

Results from logistic regression analysis for FGA, FGB and FGG gene SNPs that were significantly associated with disease, before adjustment for confounding variables.
^a adjustment for age, sex and the presence of hypercholesterolemia, hypertension, diabetes and smoking

ISSN: 1471-2350