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. 2019 Jan 21;11(2):303–327. doi: 10.18632/aging.101684

Table 1. Reproducibility and age correlations of DNAm based surrogate biomarkers.

Correlation ( r ) Training
(N=1731)
Test
(N=625)
Observed
biomarker
Age Observed
biomarker
Age
DNAm based surrogate
adrenomedullin 0.65 0.63 0.38 0.64
beta-2-microglobulin 0.62 0.83 0.43 0.85
CD56 0.86 0.17 0.36 0.17
ceruloplasmin 0.56 0.04 0.49 -0.02
cystatin-C 0.58 0.81 0.39 0.83
EGF fibulin-like ECM protein1 0.59 0.72 0.41 0.87
growth differentiation factor 15 0.74 0.71 0.53 0.81
leptin 0.68 0.06 0.35 0.05
myoglobin 0.50 -0.04 0.38 0.03
plasminogen activator inhibitor 1 0.69 0.19 0.36 0.16
serum paraoxonase/arylesterase 1 0.57 -0.22 0.51 -0.22
tissue Inhibitor Metalloproteinases 1 0.43 0.92 0.35 0.90
smoking pack-years 0.79 0.17 0.66 0.13

The table reports the correlation coefficients between the observed marker (i.e. observed plasma protein level or self-reported smoking pack-years) and its respective DNAm-based surrogate marker in 1) the FHS training data and 2) the FHS test data. Each of the DNA-based surrogate biomarkers (rows) leads to a correlation r > 0.35 in both training and test datasets (columns 2 and 4). DNAm-based pack-years is highly correlated with the self-report pack-years in both training and test datasets (r ≥ 0.66). The table also reports the correlation coefficients between the DNAm-based surrogate biomarkers (rows) and chronological age in the FHS training and test data (columns 3 and 5).