Using a multiple logistic regression model, independent significant risk factors for subclinical atherosclerosis were identified, including age, sex, BMI, smoking status, FPG, fasting insulin, presence of hypertension, presence of dyslipidemia and lipocalin-2 or RBP4 (Table 3). The gene discussed is RBP4; the disease is atherosclerosis.