We also assessed whether the integrated models were clinically useful for obesity risk prediction. A model including standard covariates, SNP-GRSS and three obesity-associated CNVs demonstrated significant discriminative ability to predict overweight and obesity classification, with maximum discriminative ability when predicting class III obesity (AUC = 0.750). Other studies using SNP-GRSS to predict obesity have incorporated 8–32 SNPs and reported AUC estimates ranging from 0.574 to 0.597 [9, 50, 52–54]. Although our AUC estimates were statistically significant, they fell short of the threshold used in clinical practice for screening (0.8) and an important extension of this work is model validation in independent samples.
