Skip to main content

Table 4 Odds ratio and 95% confidence intervals from logistic regression for the prediction of diabetes

From: Proliferator-activated receptor gamma Pro12Ala interacts with the insulin receptor substrate 1 Gly972Arg and increase the risk of insulin resistance and diabetes in the mixed ancestry population from South Africa

Allele Covariates OR (95% CI) P
IRS1 A Gene alone 0.69 (0.36-1.25) 0.250
  Sex, age 0.67 (0.34-1.24) 0.228
  Sex, age, insulin 0.70 (0.35-1.31) 0.290
  Sex, age, 2 h insulin 0.76 (0.28-1.76) 0.562
  Sex, age, HOMA-IR 0.72 (0.35-1.39) 0.347
  Sex, age, QUICKI 0.70 (0.35-1.31) 0.285
  Sex, age, FIRI 0.72 (0.35-1.39) 0.347
  Sex, age, glucose/insulin 0.67 (0.34-1.27) 0.224
  PPARG 0.69 (0.36-1.25) 0.248
  PPARG, IRS1*PPARG 0.85 (0.43-1.57) 0.613
PPARG C Gene alone 1.48 (0.91-2.36) 0.104
  Sex, age 1.40 (0.85-2.28) 0.176
  Sex, age, fasting insulin 1.49 (0.90-2.45) 0.116
  Sex, age, 2 h insulin 1.24 (0.56-2.53) 0.571
  Sex, age, HOMA-IR 1.51 (0.88-2.56) 0.131
  Sex, age, QUICKI 1.40 (0.83-2.32) 0.198
  Sex, age, FIRI 1.51 (0.88-2.56) 0.131
  Sex, age, glucose/insulin 1.41 (0.85-2.51) 0.174
  IRS1 1.48 (0.91-2.37) 0.103
  IRS1, IRS1*PPARG 1.64 (1.00-2.64) 0.046
  1. *, interaction; FIRI, fasting insulin resistance index; HOMA-IR, homeostatic model assessment of insulin resistance; IRS1, Insulin Substrate Receptor 1; PPARG, Peroxisome Proliferator-Activated Receptor Gamma; QUICKI, the quantitative insulin-sensitivity check index.