The results of this study indicate that the use of 8 genetic polymorphisms associated with carbohydrate and lipid metabolism and type 2 diabetes [<i>PTGS2</i> (<i>COX2</i>) rs6681231, <i>FADS1</i> rs174550, <i>HNF1B</i> rs4430796, <i>ADIPOQ</i> rs266729, <i>IL18</i> rs187238, <i>CCL2</i> rs1024611, <i>HHEX</i> rs5015480 and <i>CDKN2A/2B</i> rs10811661] together with clinical risk factors (BMI and age) may significantly improve the prediction of GDM.
There was a statistically significant increase in the frequency of HNF1B rs4430796 G allele among pregnant women with GDM (GG+AG versus AA, OR: 1.55, 95% CI: 1.01-2.36, p = .042; G versus A, OR: 1.39, 95% CI: 1.06-1.83, p = .018), whereas there were no statistically significant differences in the distributions of TSPAN8 rs7961581 and NOTCH2 rs10923931 genotypes and alleles between women with GDM and healthy pregnant women.