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Table 3 Associations and interactions between PM10 and candidate SNPs on odds of diabetes, applying inverse probability weighting (IPW) to account for potential selection bias

From: A common functional variant on the pro-inflammatory Interleukin-6 gene may modify the association between long-term PM10 exposure and diabetes

Genotype Genotype-specific PM10 and diabetes association OR (95 % CI) P-value* P-value of interaction** P-value of interaction*** P-value of interaction****
IL6 -572G > C
Adjusted model without IPW
 GG 1.53 (1.22, 1.92) <0.001 0.031 n.d. 0.058
 GC + CC 0.87 (0.51, 1.49) 0.618    
Adjusted model applying IPW
 GG 1.53 (1.23, 1.91) <0.001 0.003 n.d. 0.006
 GC + CC 0.74 (0.46, 1.20) 0.225    
IL6 -174G > C
Adjusted model without IPW
 GG 1.49 (1.09, 2.04) 0.012 0.763 0.966 0.645
 GC 1.35 (1.01, 1.80) 0.046    
 CC 1.43 (0.80, 2.54) 0.226    
Adjusted model applying IPW
 GG 1.44 (1.07, 1.93) 0.016 0.847 0.955 0.749
 GC 1.34 (1.01, 1.78) 0.044    
 CC 1.41 (0.76, 2.61) 0.226    
  1. Adjusted models include age, sex, educational attainment, neighborhood-level socio-economic status, smoking status, pack-years of smoking, exposure to passive smoke and occupational dusts and fumes, dietary fibre intake, alcohol consumption, physical activity, body mass index (BMI), PM10. Study area was treated as random effects in all models. OR: odds ratio; CI: confidence intervals; OR values represent percent increase in odds of diabetes per 10 μg/m3 increase in PM10 exposure. PM10: particulate matter <10 μm in diameter.* P-value of genotype specific association between PM10 and diabetes.** additive model (per G allele); ***dominant model (GG + GC vs. CC); ****recessive model (GG vs. GC + CC); n.d.: not done due to the few number of CC allele carriers