Additional Common Polymorphisms in the PON Gene Cluster Predict PON1 Activity but Not Vascular Disease
Table 2
Best-fit model from stepwise linear regression predicting PON1 AREase activity.
Variable
Coefficient (± SE)
Genea
MAFb
t-statisticc
AREase Variation %
P
(Intercept)
—
—
20.304
—
< 2.0 × 10−16
PON1C-108T
(PON1)
0.43
−9.498
14.10%
< 2.0 × 10−16
PON1G-162A
(PON1)
0.18
1.002
0.21%
0.317
PON1Q192R
PON1
0.33
−5.258
1.17%
1.8 × 10−7
PON1M55L
PON1
0.42
−1.94
1.01%
0.053
Age
—
—
−9.014
4.29%
< 2.0 × 10−16
Current smoker
—
—
−7.776
4.42%
1.95 × 10−14
rs854567
(PON1)
A = 0.185
−1.719
2.34%
0.086
rs2299257
(PON1)
C = 0.391
3.546
0.85%
4.11 × 10−4
rs2237583
(PON1)
A = 0.284
3.645
0.5%
2.82 × 10−4
rs2375005
(PON2)
T = 0.462
−3.25
0.34%
0.001
rs3917486
(PON1)
A = 0.054
2.998
0.58%
0.003
rs11768074
(PON3)
A = 0.157
1.878
0.26%
0.061
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.