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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.