Skip to main content
. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Environ Int. 2017 Mar 9;102:57–65. doi: 10.1016/j.envint.2016.12.024

Table 3.

1-year particulate matter 2.5 (PM2.5) and component species as predictors of DNA methylation (DNAm) age.

Particle Difference in Horvath DNAm-age for IQR (95% CI) P Difference in Hannum DNAm-age for IQR (95% CI) P N
Model framework 1
PM2.5 0.64 (0.20, 1.09) 0.005 0.06 (−0.28, 0.40) 0.74 940
Model framework 2
EC 0.27 (−0.25, 0.80) 0.30 −0.09 (−0.48, 0.29) 0.64 940
OC 0.93 (0.37, 1.50) 0.001 0.35 (−0.05, 0.77) 0.09 940
Sulfate 0.59 (0.37, 0.81) <0.0001 0.08 (−0.09, 0.25) 0.36 940
Nitrate 0.58 (0.11, 1.04) 0.01 0.30 (−0.04, 0.65) 0.08 940
Ammonium 0.59 (0.26, 0.92) 0.0004 0.06 (−0.18, 0.30) 0.63 940
Model framework 3
PM2.5 0.18 (−0.30, 0.66) 0.45 940
Sulfate 0.51 (0.28, 0.74) <0.0001 940
Ammonium 0.36 (0.02, 0.70) 0.04 940

Model framework 1: adjusted for chronological age, blood cell types, temperature, pack years, smoking status, season, BMI, alcohol consumption, and education. Model frame-work 2: PM2.5 component species as independent predictors of DNAm-age adjusted for PM2.5 in addition to model 1 covariates. Model framework 3: PM2.5, sulfate, and ammonium as joint predictors of DNAm-age (given selection of sulfate and ammonium by the adaptive LASSO) adjusted for model 1 covariates. No species were selected as predictors of Hannum DNAm-age. Bold values indicate significance at P < 0.05.