The association remained statistically significant in all multivariate logistic regression models after adjusting for several covariates including sex, age, race, hypertension, DM, smoking, alcohol consumption, CHD, kidney disease, liver disease, eGFR, SBP, DBP, UA, Alb, HGB, HCT, and NLR (model 1, OR 1.05 [95% CI 1.03–1.07]; model 2, OR 1.02 [95% CI 1–1.05]; and model 3, OR 1.03 [95% CI 1–1.05]). This evidence concerns the gene CYGB and coronary artery disorder.