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Table 4 Logistic regression analyses between SNPs within HLA-DQA1 and PLA2R genes and primary membranous nephropathy response to immunosuppressive therapy

From: The association between variants in PLA2R and HLA-DQA1 and renal outcomes in patients with primary membranous nephropathy in Western China

RS#

Remission

Non- Remission

Univariate analysisa

Multivariate analysisa,b

n (%)

n (%)

OR (95%CI)

P

OR (95%CI)

P

rs2715918

      

 GG

39 (67.3)

38 (70.4)

1

   

 GA

17 (29.3)

13 (24.0)

0.864 (0.388–1.926)

0.721

1.273 (0.545–2.978)

0.577

 AA

2 (3.4)

3 (5.6)

    

rs4665143

      

 GG

15 (25.9)

9 (16.7)

1

   

 GA

20 (34.5

26 (48.1)

1.744 (0.691–4.403)

0.239

2.434 (0.870–6.809)

0.090

 AA

23 (39.6)

19 (35.2)

    

rs2187668

      

 GG

34 (58.6)

31 (57.4)

1

   

 GA

23 (39.7)

22 (40.7)

1.051 (0.496–2.227)

0.897

1.139 (0.521–2.494)

0.744

 AA

1 (1.7)

1 (1.9)

    
  1. aUnivariate analysis considering a dominant model for HLA-DQA1 and a dominant model for PLA2R. The non-risk genotypes for primary membranous nephropathy susceptibility were considered as the reference. bAdjusted for proteinuria at diagnosis