Associations of complement factor B and complement component 2 genotypes with subtypes of polypoidal choroidal vasculopathy

Table 3 Logistic regression analysis with adjustment for confounding factors

		Total AMD patients				tAMD				PCV				RAP
		p-value vs. control	(Bonferroni correction)	OR	95% CI	p-value vs. control	(Bonferroni correction)	OR	95%CI	p-value vs. control	(Bonferroni correction)	OR	95% CI	p-value vs. control	(Bonferroni correction)	OR	95% CI
rs547154	dominant model	0.044*	0.176	*0.62*	0.39-0.99	0.186	0.744			0.103	0.412			0.626	1.000
	recessive model	0.051	0.204			0.159	0.636			0.105	0.420			-
rs541862	dominant model	0.049*	0.196	*0.63*	0.39-0.99	0.169	0.676			0.119	0.476			0.877	1.000
	recessive model	0.133	0.532			0.232	0.928			0.213	0.852			0.996	1.000
rs2072633	dominant model	0.0003*	0.001**	*0.49*	0.33-0.73	0.042*	0.168	*0.59*	0.36-0.99	0.001*	0.004**			0.048*	0.192	*0.35*	0.13-0.99
	recessive model	0.031*	0.124	*0.68*	0.48-0.97	0.312	1			0.010*	0.04**	*0.46*	0.29-0.74	0.423	1.000
rs4151667	dominant model	0.273	1			0.952	1			0.270	1	*0.59*	0.40-0.88	0.769	1.000
	recessive model	-				-				-				-

Logistic regression analysis was performed for each genotype with adjustment for confounding factors (age, gender, hypertension, diabetes mellitus and smoking).
PCV; polypoidal choroidal vasculopathy.
OR; odds ratios CI; confidence intervals.
p-values are for the comparisons between cases and controls.
p-values for genotypes were calculated using Fisher’s exact test. *p < 0.05B.
Bonferroni correction was performed for each of the genotypes. **p < 0.05.
Blanks indicate that there were no siginificant differences.

ISSN: 1471-2415