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. 2013 Aug 15;8(8):e72537. doi: 10.1371/journal.pone.0072537

Table 3. Logistic regression analysis for the contribution of CETP 405V to longevity under different genetic models.

Variable Stratification Wald P OR (95%CI)
Gender Male / Female 157.870 <0.001 0.177 (0.136-0.232)
CETP overall Additive(VV/VI/II) 11.293 0.004 NA
Dominant(VV +VI/II) 10.419 0.001 0.643 (0.492-0.841)
Recessive (VV/VI+II) 3.739 0.053 0.733 (0.535-1.004)
Number of V allele 10.425 0.001 0.746 (0.624-0.891)
Male Additive(VV/VI/II) 16.440 <0.001 NA
Female Additive(VV/VI/II) 9.103 0.011 NA
Model 1a overall Additive(VV/VI/II) 11.146 0.004 NA
Dominant(VV +VI/II) 8.321 0.004 0.650 (0.485-0.871)a
Recessive (VV/VI+II) 6.439 0.011 0.640 (0.453-0.903)a
Number of V allele 11.133 0.001 0.718 (0.591-0.872)a
Model 2b overall Additive(VV/VI/II) 9.560 0.008 NA
Dominant(VV +VI/II) 6.996 0.008 0.673 (0.501-0.902)
Recessive (VV/VI+II) 5.691 0.017 0.654 (0.462-0.927)
Number of V allele 9.558 0.002 0.734 (0.604-0.893)
APOE interaction overall 405V by ε4 10.851 0.001 0.530 (0.363-0.773)

Logistic regression analysis: risk (OR) of longevity, NA = not available

Dependent variable: longevity group (1) vs. control group (0); Independent variables: Gender (male: 1, female: 0)

a Logistic model 1: adjusted for gender; b Logistic model 2: adjusted for gender, APOE ε4 number, body mass index and concentration of HDL-c