Statistical analyses

The chi-square test for categorical data and Mann–Whitney test for continuous data were used to compare clinical characteristics between the study groups. Associations between CUBN, HNF1A, and LIPC polymorphisms and CAD incidence were analyzed using adjusted odds ratios (AORs) and 95% confidence intervals (CIs) from multivariate logistic regressions adjusted for age, gender, HTN, DM, hyperlipidemia, and smoking status. Analyses were performed using GraphPad Prism 4.0 (GraphPad Software Inc., San Diego, CA, USA), HAPSTAT (version 3.0; www.bios.unc.edu/~lin/hapstat/; University of North Carolina, Chapel Hill, NC, USA), and Medcalc, version 18.2.1 (Medcalc Software, Mariakerke, Belgium). P-values < 0.05 were considered indicative of statistical significance. The false discovery rate (FDR) was calculated when performing multiple comparisons in order to estimate the overall experimental error rate resulting from false-positive results⁴⁵. To estimate statistical power for significant findings, post hoc power analyses were performed with the FDR adjusted P-values < 0.05 using GPower (version 3.1; see Supplementary Table ^S6). Most of the significant P-values had statistical power above or near 80%.