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Table 2 Best-fit model from stepwise linear regression predicting PON1 AREase activity using dietary fat intake variables (n = 1548 subjects)

From: Dietary fatty acid intake is associated with paraoxonase 1 activity in a cohort-based analysis of 1,548 subjects

Variablea,b Estimate ± SE % PON1 AREase variation P
(Intercept) 236.85 ± 9.57 - < 2 × 10-16
PON1 C-108T −26.48 ± 1.94 13.30% < 2 × 10-16
PON1 G-162A −1.31 ± 2.24 0.21% 0.56
PON1 Q192R −12.34 ± 2.08 2.38% 3.83 × 10-9
PON1 M55L −6.16 ± 2.16 0.42% 0.0044
Age −0.94 ± 0.12 2.81% 5.54 × 10-15
Sex 17.95 ± 2.42 4.70% 2.17 × 10-13
Current smoker −13.43 ± 3.58 0.44% 0.00018
Hispanic ancestryc 2.43 ± 7.40 0.01% 0.74
African ancestryc −17.04 ± 4.52 0.71% 0.00017
Asian ancestryc −5.55 ± 4.278 0.13% 0.19
ln(Myristic acid (14:0) intake) 7.71 ± 3.71 0.25% 0.038
ln(Gadoleic acid (20:1) intake) 59.50 ± 11.92 0.58% 6.68 × 10-7
ln(Arachidonic acid (20:4) intake) −67.15 ± 19.76 0.61% 0.00069
ln(Eicosapentaenoic acid (20:5) intake) −33.01 ± 13.33 0.29% 0.013
  1. aln(Oleic acid (18:1) intake) was not significantly associated with PON1 AREase activity (p = 0.246, beta coefficient = 3.52) and was not retained in the final stepwise regression model.
  2. bln(α-Linolenic acid (18:3) intake) was not significantly associated with PON1 AREase activity (p = 0.913, beta coefficient = −0.579) and was not retained in the final stepwise regression model.
  3. cGenetic ancestry coded as dummy variable, with European ancestry (the majority of the CLEAR cohort) subset used as the reference group.