Additional Common Polymorphisms in the PON Gene Cluster Predict PON1 Activity but Not Vascular Disease
Table 4
Application of best-fit model for PON1 AREase activity to predict PON1 DZOase activity.
Variable
Coefficient (± SE)
Genea
MAFb
t-statisticc
DZOase Activity %
P
(Intercept)
—
—
36.365
—
< 2.0 × 10−16
PON1C-108T
(PON1)
0.43
−11.054
12.82%
< 2.0 × 10−16
PON1G-162A
(PON1)
0.18
3.597
5.10%
3.4 × 10−4
PON1Q192R
PON1
0.33
−15.944
23.71%
< 2.0 × 10−16
PON1M55L
PON1
0.42
−4.498
3.39%
7.75 × 10−6
Age
—
—
−9.797
4.21%
< 2.0 × 10−16
Current Smoker
—
—
−5.103
1.28%
4.08 × 10−7
rs854567
(PON1)
A = 0.185
−1.566
1.74%
0.118
rs2299257
(PON1)
C = 0.391
3.73
0.70%
2.03 × 10−4
rs2237583
(PON1)
A = 0.284
4.956
0.92%
8.57 × 10−7
rs2375005
(PON2)
T = 0.462
−2.258
0.22%
0.024
rs3917486
(PON1)
A = 0.054
2.275
0.27%
0.023
rs11768074
(PON3)
A = 0.157
−0.466
0.01%
0.641
SE = standard error, MAF = minor allele frequency.
aNoncoding 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 values were calculated from the coefficients (from all subjects) and standard errors within the best-fit multivariate model by the glm function in R.
