TABLE 3.
Frequently mentioned potential “research lab” biomarkers based on epigenetic measurements.
Potential biomarkers | Material | Methods | Prediction | e-score | rc-score | c-score* |
DNA methylation and aging clocks: | n.a. | 2158 | ||||
Horvath’s clock | DNA (broad spectrum of tissues) | DNA methylation analysis | Chronological age | – | n.a. | 214 |
Hannum’s clock | DNA (blood) | Chronological age | – | n.a. | 190 | |
DNAm GrimAge | DNA (blood) | Biological age | – | n.a. | 31 | |
DNAm PhenoAge | DNA (blood) | Biological age | – | n.a. | 26 | |
Weidner clock | DNA (blood) | Chronological age | – | n.a. | 8 | |
EpiTOC | DNA (blood) | Biological age | — | n.a. | 2 | |
miRNA (microRNA) | RNA (blood/plasma PBMCs) | Next generation sequencing microarrays | Morbidity, mortality | — | 198 | 635 |
Non-coding RNA expression profiles | RNA | RNA sequencing | Chronological age | — | 167 | 602 |
exRNA (extracellular RNA) | blood/plasma | Next generation sequencing | Morbidity, mortality | — | 25 | 119 |
Histone modifications: | 36 | 73 | ||||
H4K20 methylation | DNA methylation analysis mass spectrometry, HPLC, ChIP Immunohisto-chemistry | Cell stress | — | n.a. | n.a. | |
H4K16 acetylation | — | n.a. | n.a. | |||
H3K4 methylation | protein extract | — | n.a. | n.a. | ||
H3K9 methylation | from tissue DNA | — | n.a. | n.a. | ||
H3K27 methylation | — | n.a. | n.a. | |||
Chromatin remodeling | DNA | Chromatin remodeling assays | Chronological age | — | 13 | 26 |
* rows are sorted by c-score. n.a.: not assigned due to high variation of terminology in literature.