Table 1. Multiple omics make accurate ageing clocks.
| Omic | N individuals | N predictors available | N predictors selected | r |
| MetaboAge | 2019 | - | 56 | 0.21 |
| MS Fatty Acids Lipidomics | 952 | 33 | 27 | 0.45 |
| DEXA | 1158 | 28 | 28 | 0.66 |
| MS Complex Lipidomics | 940 | 908 | 130 | 0.7 |
| NMR Metabolomics | 1643 | 86 | 81 | 0.74 |
| UPLC IgG Glycomics | 1937 | 77 | 50 | 0.74 |
| GlycanAge | 2217 | - | 3 | 0.75 |
| Clinomics | 1815 | 13 | 12 | 0.8 |
| MS Metabolomics | 861 | 682 | 181 | 0.81 |
| DNAme Horvath CpGs | 957 | 333 | 155 | 0.93 |
| PEA Proteomics | 805 | 886 | 203 | 0.93 |
| Horvath 2013 | 1065 | - | 353 | 0.94 |
| Hannum 2013 | 1065 | - | 71 | 0.95 |
| DNAme Hannum CpGs | 1033 | 62 | 50 | 0.96 |
| Mega Omics | 796 | 2471 | 214 | 0.97 |
Indicating for each omics assay: N Individuals: the number of individuals in the ORCADES cohort that passes quality control, N Predictors Available: the number of predictors passing assay-level quality control and therefore available for selection for inclusion in the standard model, N Predictors Selected: the number of predictors selected for inclusion in the standard model, r: Pearson correlation of omics clock age (OCA) and chronAge. DEXA, Dual X-ray absorptiometry; DNAme, DNA methylation; CpG, cytosine nucleotide followed by guanine (5’ to 3’ direction); MS, mass spectrometry; NMR, nuclear magnetic resonance; PEA, proximity extension assay; UPLC, ultra-performance liquid chromatography; IgG, Immunoglobulin G. Within each omic category, subject mean age at baseline was 53-56 (SD~15) with an age range across clocks of 16-100, whilst the proportion female ranged from 55-61% (Supplementary Table 1).