The finial LASSO model with optimal lambda included the following 10 non-zero variables: “sex,” “age,” “hypertension,” “smoking habit,” “GGT,” “CRP,” “HDL-C,” “cholesterol,” “waist circumference,” and “follow-up period.” We carried out the multivariate analyses in the training cohort to establish the prediction model for subclinical CAC progression. This evidence concerns the gene CRP and Hypertension.