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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