Finally, statistical power analysis revealed that the present study had a 99.9% power to detect associations of APOA5 rs662799 (effect size = 1.26; minor allele frequency (MAF) = 27.2%), BUD13 rs11216129 (effect size = 0.74; MAF = 26.8%), BUD13 rs623908 (effect size = 0.75; MAF = 30.8%), CETP rs820299 (effect size = 1.47; MAF = 41.7%), or LIPA rs1412444 (effect size = 1.22; MAF = 32.7%) with MetS among the MetS and non-MetS subjects after applying Bonferroni correction (P < 0.0006). The gene discussed is CETP; the disease is metabolic syndrome.