Their model utilized proinflammatory HDL (piHDL), leptin, TWEAK, homocysteine, history of diabetes, and age as predictors and had a sensitivity of 89% and specificity of 79% (AUC not available). The gene discussed is LEP; the disease is diabetes mellitus.