We generated four 10 year risk categories for type 2 diabetes for each of the two phenotype based risk models (≤5%, 5-9.9%, 10-14.9%, and ≥15%) and then compared the observed and predicted event rates in each category of risk to assess if the addition of genetic information improved calibration (that is, the closeness of the observed event rate to the predicted risk) (table 3). The phenotype based risk models accurately estimated the rates of diabetes in each of the four categories of predicted risk.
