Table 3.
Testing dataset |
Independent test dataset |
Blood dataset |
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---|---|---|---|---|---|---|---|---|---|---|---|---|
Beta | SE | P | R2 | Beta | SE | P | R2 | Beta | SE | P | R2 | |
DNAmClockCortical | ||||||||||||
DNAm age versus age | 1.14 | 3.39 × 10−2 | 2.86 × 10−108 | 0.98 | 1.03 | 0.17 | 5.31 × 10−9 | 0.65 | 0.58 | 0.06 | 5.37 × 10−20 | 0.78 |
DNAm age versus age2 | −1.64 × 10−3 | 3.08 × 10−4 | 1.94 × 10−7 | 1.57 × 10−3 | −2.39 × 10−3 | 1.08 × 10−3 | 2.80 × 10−2 | 1.47 × 10−3 | −2.05 × 10−4 | 5.34 × 10−4 | 0.70 | 1.61 × 10−4 |
DNAmClockMulti | ||||||||||||
DNAm age versus age | 1.08 | 4.14 × 10−2 | 3.17 × 10−83 | 0.93 | 0.68 | 0.16 | 3.51 × 10−5 | 0.42 | 0.75 | 0.06 | 6.01 × 10−30 | 0.80 |
DNAm age versus age2 | −3.81 × 10−3 | 3.75 × 10−4 | 2.45 × 10−21 | 0.02 | −1.76 × 10−3 | 1.02 × 10−3 | 8.50 × 10−2 | 1.39 × 10−3 | −1.15 × 10−3 | 5.49 × 10−4 | 0.04 | 5.66 × 10−4 |
DNAmClockBlood | ||||||||||||
DNAm age versus age | 0.82 | 3.41 × 10−2 | 1.30 × 10−74 | 0.90 | 0.64 | 0.18 | 3.00 × 10−4 | 0.26 | 1.14 | 0.05 | 9.50 × 10−111 | 0.94 |
DNAm age versus age2 | −3.16 × 10−3 | 3.09 × 10−4 | 1.81 × 10−21 | 0.02 | −2.08 × 10−3 | 1.09 × 10−3 | 5.70 × 10−2 | 2.30 × 10−3 | −2.26 × 10−3 | 3.90 × 10−4 | 8.47 × 10−9 | 1.61 × 10−3 |
DNAmClockPheno | ||||||||||||
DNAm age versus age | 0.57 | 6.89 × 10−2 | 3.19 × 10−15 | 0.65 | −0.35 | 0.23 | 1.27 × 10−1 | 0.10 | 0.63 | 0.08 | 1.86 × 10−13 | 0.75 |
DNAm age versus age2 | −1.79 × 10−3 | 6.25 × 10−4 | 4.47 × 10−3 | 0.01 | 3.53 × 10−3 | 1.42 × 10−3 | 1.40 × 10−2 | 0.01 | 6.22 × 10−4 | 7.21 × 10−4 | 0.39 | 5.41 × 10−5 |
DNAm age was estimated using our novel cortical clock (DNAmClockCortical), Horvath’s multi-tissue clock (DNAmClockMulti) (Horvath, 2013), Zhang’s elastic net blood clock (DNAmClockBlood) (Zhang et al., 2019) and Levine’s Pheno Age clock (DNAmClockPheno) (Levine et al., 2018) in the ‘testing’ dataset (n = 350 cortical samples), the ‘independent test’ dataset (n = 1221 cortical samples) and the blood dataset (n = 1175 whole blood samples).