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.
Among single genetic variants consistently associated with diabetes-related metabolites, two (rs174550 (FADS1), rs3204953 (REV3L)) were significantly associated with type 2 diabetes in large-scale meta-analysis for type 2 diabetes.