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Table 3 Logistic regression analysis with adjustment for confounding factors

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

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