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

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

Variable^a,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 ancestry^c	2.43 ± 7.40	0.01%	0.74
African ancestry^c	−17.04 ± 4.52	0.71%	0.00017
Asian ancestry^c	−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

^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.
^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.
^cGenetic ancestry coded as dummy variable, with European ancestry (the majority of the CLEAR cohort) subset used as the reference group.

ISSN: 1476-511X