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Table 1 Summary statistics and comparison of age-related parameters collected for blood samples N = 10 with a mean age = 44.0 ± 26.1 (age range 7–78)

From: Introduction of a multiplex amplicon sequencing assay to quantify DNA methylation in target cytosine markers underlying four selected epigenetic clocks

Epigenetic clock

Statistics

EPIC

Ion AmpliSeq

SureSelect

Original

Transformed

Original

Transformed

Original

Transformed

VISAGE blood age

Mean predicted value ± SD

40.3 ± 26.1*

NA

46.9 ± 29.6**

41.8 ± 27.4

42.6 ± 29.6**

NA

Mean difference between replicates

2.9 ± 2.0

NA

1.2 ± 0.4

1.2 ± 0.4

2.5 ± 1.6

2.3 ± 1.5

Mean absolute error of prediction (MAE)

3.9 ± 2.9

NA

4.6 ± 2.6

2.7 ± 2.5

3.9 ± 2.7

NA

Hannum age

Mean predicted value ± SD

42.7 ± 21.2

41.7 ± 23.3

49.0 ± 25.4

44.5 ± 22.7

47.5 ± 22.7

43.1 ± 20.3

Mean difference between replicates

1.5 ± 0.9

1.6 ± 1.0

1.3 ± 1.0

1.2 ± 0.9

1.1 ± 0.6

1.0 ± 0.5

Mean absolute error of prediction (MAE)

4.3 ± 2.8

2.9 ± 2.8

5.0 ± 2.7

3.6 ± 2.0

4.7 ± 1.9

4.8 ± 3.5

PoAm

Mean predicted value ± SD

1.02 ± 0.09

NA

1.11 ± 0.08

1.04 ± 0.06

1.11 ± 0.09

1.03 ± 0.06

Mean difference between replicates

0.05 ± 0.04

NA

0.05 ± 0.04

0.03 ± 0.03

0.04 ± 0.02

0.03 ± 0.01

Mean absolute error of prediction (MAE)

NA

NA

NA

NA

NA

NA

Zhang MRS

Mean predicted value ± SD

− 2.63 ± 0.42

NA

− 1.52 ± 0.60

− 2.64 ± 0.36

− 1.12 ± 0.52

− 2.40 ± 0.32

Mean difference between replicates

0.11 ± 0.09

NA

0.15 ± 0.12

0.09 ± 0.07

0.08 ± 0.08

0.05 ± 0.05

Mean absolute error of prediction (MAE)

NA

NA

NA

NA

NA

NA

  1. The results include the original outputs of the models and the results after applying a linear data transformation that allowed correction for the observed technological differences (EPIC vs. HTS)
  2. *A new version of the VISAGE model was developed using alternative list of CpGs (ELOVL2 cg16867657 chr6:11,044,644, KLF14 cg08097417 chr7:130,734,372, MIR29B2CHG cg10501210 chr1:207,823,675, FHL2 cg22454769 chr2:105,399,310, PDE4C cg17861230 chr19:18,233,091 and EDARADD cg09809672 chr1:236,394,382) and EPIC data for training
  3. **Original VISAGE age model developed by Woźniak et al. was used trained on 6 CpGs (ELOVL2 chr6:11,044,634, KLF14 chr7:130,734,375, MIR29B2CHG chr1:207,823,681, FHL2 cg06639320 chr2:105,399,282, TRIM59 chr3:160,450,202, PDE4C chr19: 18,233,127) and Illumina sequencing data