Skip to main content

Table 6 Logistic regression analysis between cases and controls

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

   Total PCV patients Polypoidal CNV Typical PCV
   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 0.018* 0.072 0.48 0.26-0.89 0.014* 0.056 0.22 0.05-0.86 0.139 0.556   
  recessive model 0.217 0.868    0.097 0.388    0.409 1.000   
rs541862 dominant model 0.023* 0.092 0.49 0.26-0.91 0.015* 0.060 0.22 0.05-0.87 0.162 0.648   
  recessive model 0.417 1    0.131 0.524    0.646 1.000   
rs2072633 dominant model 0.012* 0.048** 0.52 0.32-0.87 0.104 0.416    0.037* 0.148 0.55 0.32-0.96
  recessive model 0.035* 0.140 0.63 0.41-0.96 0.009* 0.036** 0.40 0.20-0.79 0.199 0.796   
rs4151667 dominant model 0.326 1    0.984 1    0.211 0.844   
  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 comparisons between cases and controls.
  5. p-values for genotypes were calculated using Fisher’s exact test. *p < 0.05.
  6. Bonferroni correction was performed for each of the genotypes. **p < 0.05.
  7. Blanks indicate that there were no siginificant differences.