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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.