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. 2021 Jan 6;14:1–13. doi: 10.2147/PGPM.S278671

Table 5.

Logistic Regression Analysis Between CETP Genetic Variants, Potential Confounders and Atherogenic Dyslipidemia Complex

Dependent Variable Independent Variables Logistic Regression
All Men Women
OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value
Model 1§ rs3764261 2.11 (1.27–3.50) 0.004 2.23 (0.97–5.14) 0.061 2.54 (1.26–5.11) 0.009
rs708272 2.12 (1.29–3.49) 0.003 1.64 (0.68–3.92) 0.271 2.37 (1.24–4.53) 0.009
HOMA-IR 1.47 (1.27–1.71) <0.001 1.32 (1.06–1.64) 0.013 1.57 (1.27–1.92) <0.001
Constant 0.003 <0.001 0.019 0.001 0.000 <0.001
Model 2 rs3764261 and rs708272 2.99 (1.78–5.02) <0.001 2.90 (1.16–7.25) 0.023 3.40 (1.72–6.71) <0.001
HOMA-IR 1.45 (1.25–1.67) <0.001 1.31 (1.06–1.62) 0.014 1.55 (1.26–1.90) <0.001
Constant 0.008 <0.001 0.010 <0.001 0.001 0.001

Notes: Atherogenic dyslipidemia complex; all features of reduced HDL-C, elevated triglycerides and LDL subclass pattern B. Data are from logistic regression with backward Wald method, adjusted age, BMI, systolic and diastolic blood pressure, HOMA-IR and statin dosage; OR (95% CI): odds ratio (95% confidential interval). §Variables entered in method: rs3764261, rs708272, and rs12149545. Variables entered in method: combination of variants at rs3764261 and rs708272. The detail of the combination groups is shown in supplementary Table 1.