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Table 2 Logistic Regression for predicting transmission based on number of glycosites in the variable loops

From: Application of a case–control study design to investigate genotypic signatures of HIV-1 transmission

 

Univariate Odds Ratio (95% confidence interval)

p-value

 

Odds Ratio with subtype interaction (95% confidence interval)

p-value

Test for Homogeneity between subtype, p-value

Wilcoxon Rank Sum p-value

PNGs in V1 loop

  

PNGs in V1 loop

    

1 to 2

  

Subtype B 1 to 2

   

0.109

3

1.11 (0.59, 2.06)

0.751

3

1.42 (0.55, 3.62)

0.466

  

≥ 4

1.62 (0.83, 3.14)

0.155

≥ 4

2.29 (0.83, 6.36)

0.111

  
   

Subtype C 1 to 2

   

0.931

   

3

0.66 (0.18, 2.48)

0.541

  
   

≥ 4

0.54 (0.14, 2.10)

0.371

0.347

 

PNGs in V2 loop

  

PNGs in V2 loop

    

0 to 1

  

Subtype B 0 to 1

   

0.533

2 to 3

0.75 (0.44, 1.27)

0.282

2 to 3

0.84 (0.44, 1.63)

0.615

  
   

Subtype C 0 to 1

   

0.323

   

2 to 3

0.67 (0.22, 2.13)

0.506

0.509

 

PNGs in V3 loop

  

PNGs in V3 loop

*

   

0

  

Subtype B 0

   

0.024

1

2.56 (0.49, 13.43)

0.267

1

    
   

Subtype C 0

   

0.155

   

1

  

0.008

 

PNGs in V4 loop

  

PNGs in V4 loop

    

0 to 1

  

Subtype B 0 to 1

   

0.572

2

0.51 (0.23, 1.14)

0.102

2

0.36 (0.10, 1.31)

0.122

  

≥ 3

0.54 (0.25, 1.20)

0.133

≥ 3

0.46 (0.13, 1.60)

0.219

  
   

Subtype C 0 to 1

   

0.329

   

2

1.83 (0.35, 9.60)

0.473

  
   

≥ 3

1.19 (0.22, 6.28)

0.842

0.001

 
  1. Note: In groups where no sequences have 0 glycosites, logistic regression cannot be performed.