Additional Common Polymorphisms in the PON Gene Cluster Predict PON1 Activity but Not Vascular Disease

Table 3

Application of best-fit model for PON1 AREase activity to predict PON1 POase activity.

Variable	Coefficient (± SE)	Gene^a	MAF^b	t-Statistic^c	POase Variation %	P
(Intercept)	29.36(±1.17)	—	—	24.986	—	< 2.0 × 10^−16
PON1C-108T	−1.91(±0.22)	(PON1)	0.43	−8.762	11.78%	< 2.0 × 10^−16
PON1G-162A	0.78(±0.39)	(PON1)	0.18	2.023	3.93%	0.043
PON1Q192R	9.67(±0.35)	PON1	0.33	27.27	65.61%	< 2.0 × 10^−16
PON1M55L	−1.59(±0.30)	PON1	0.42	−5.133	0.35%	3.5 × 10^−7
Age	−0.09(±0.01)	—	—	−7.475	0.78%	1.81 × 10^−13
Current smoker	−1.27(±0.31)	—	—	−4.155	0.31%	3.56 × 10^−5
rs854567	−1.69(±0.40)	(PON1)	A = 0.185	−4.246	0.54%	2.41 × 10^−5
rs2299257	0.92(±0.30)	(PON1)	C = 0.391	3.085	0.15%	0.002
rs2237583	−0.35(±0.26)	(PON1)	A = 0.284	−1.347	0.09%	0.179
rs2375005	−0.23(±0.21)	(PON2)	T = 0.462	−1.081	0.00%	0.28
rs3917486	2.20(±0.42)	(PON1)	A = 0.054	5.271	0.47%	1.7 × 10^−7
rs11768074	0.42(±0.37)	(PON3)	A = 0.157	1.114	0.02%	0.266

SE = standard error, MAF = minor allele frequency.
^aNon-coding SNPs are presented in parentheses, for example, (PON1).
^bMinor allele frequencies for the four functional SNPs reported through dbSNP. The remaining minor allele frequencies were calculated via the CLEAR cohort.
^ct-statistics and P values were calculated from the coefficients (from all subjects) and standard errors within the best-fit multivariate model by the glm function in R.