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. Author manuscript; available in PMC: 2009 Dec 1.
Published in final edited form as: Metabolism. 2008 Dec;57(12):1719–1724. doi: 10.1016/j.metabol.2008.07.031

Table 4.

Regression Analysis of Lipoprotein Measures HDL-C.

Outcome Predictor Coefficient Standard Error 95% CI p-value
HDL-C (n=494) Genotype 3.55 1.90 −0.19, 7.93 0.063
Sex 7.67 1.05 5.61, 9.74 <0.001
HypoA −20.03 2.35 −24.64, −15.41 <0.001
HyperA 36.29 2.21 31.95, 40.63 <0.001
Constant 59.43 0.95 57.55, 61.30 <0.001
Overall model fit: F = 239.66, p < 0.0001, adjusted R2 = 0.817

Multiple linear regression analysis of HDL-C levels. Predictors evaluated in the model included: age (years), sex (female vs. male), plasma TG (mg/dL), BMI (kg/m2), clinical category (Control vs. HyperA, HypoA), PLTP rs2294213 genotype (GG vs GC+CC), and genotype-by-clinical category interaction. An interaction between clinical category and genotype was observed (p=0.013), with carriers of the minor allele having higher levels of HDL-C in HypoA (GG: 32.69 [95% CI: 31.06, 34.33]; GC+CC: 35.27 [95% CI: 28.21, 42.33]) and Controls (GG: 48.81 [95% CI: 47.24, 50.38]; GC+CC: 59.21 [95% CI: 53.88, 64.53]) versus lower HDL-C levels in HyperA (GG: 91.46 [95% CI: 88.84, 94.07]; GC+CC: 89.13 [95% CI: 83.03, 95.24]). Covariates appearing in the model are evaluated at the following values: age = 52.93 years, TG = 147.1 mg/dL, BMI = 26.5.