Table 2. Hierarchical regression models predicting DNA methylation aging from BMI and covariates.
Variable | GrimAge β [CI95%] | PhenoAge β [CI95%] | Horvath DNAm age β [CI95%] | Hannum DNAm age β [CI95%] |
Step 1 | ||||
BMI | 0.02 [−0.06, 0.07] | 0.19*** [0.11, 0.27] | 0.08 [−0.05, 0.21] | 0.02 [−0.06, 0.10] |
Age | 0.27*** [0.14, 0.38] | 0.15** [0.05, 0.25] | 0.24*** [0.13, 0.34] | 0.17** [0.07, 0.26] |
Female | −0.22*** [−0.313, −0.121] | 0.15** [0.05, 0.26] | −0.05 [−0.16, 0.07] | 0.13* [0.01, 0.25] |
African American | 0.13** [0.041, 0.21] | −0.13* [−0.23, -0.03] | −0.13* [−0.24, −0.02] | −0.24*** [−0.34, −0.13] |
Income-to-needs ratio | −0.10* [−0.18, -0.02] | −0.13* [−0.23, -.02] | −0.07 [−0.18, 0.03] | 0.00 [−0.09, .10] |
Parental education | −0.01 [−0.08, 0.05] | 0.02 [−0.09, 0.13] | −0.01 [−0.11, 0.10] | −0.05 [−0.15, 0.05] |
Smoking | 0.20*** [0.10, 0.30] | 0.04 [−0.06, 0.14] | −0.02 [−0.13, 0.10] | −0.02 [−0.12, 0.08] |
CD8T | −0.69*** [−1.04, −0.32] | 0.05 [−0.43, 0.54] | −0.57 [−1.23, 0.10] | 0.21 [−0.46, 0.88] |
CD4T | −1.53*** [−2.02, −1.00] | 0.16 [−0.37, 0.68] | −0.87* [−1.57, −0.18] | 0.80 [−0.52, 2.11] |
Monocytes | −1.17*** [−1.55, −0.76] | −0.05 [−0.45, 0.36] | −0.70** [−1.20, −0.20] | 0.70 [−0.09, 1.49] |
B cells | −1.62*** [−2.09, −1.13] | −0.40 [−0.93, 0.12] | −1.08*** [−1.73, −0.42] | 1.07* [0.19, 1.94] |
Granular cells | −4.80*** [−6.07, −3.45] | −0.74 [−2.19, 0.70] | −2.64** [−4.51, −0.76] | 2.04 [−0.79, 4.87] |
Step 2 | ||||
BMI X Female | 0.06 [−0.15, 0.28] | −0.36* [−0.69, −0.03] | −0.35 [−.77, .07] | −0.36** [−0.64, −0.09] |
Significant coefficients are bolded. Standardized coefficients and confidence intervals are shown. *p < .05, **p <.01, ***p <.001.