Table 2. Samples used in multivariable linear regression analysis and prediction modelling.
| DNA source | Sample number/sex | Mean age | Training set | Testing set | |||
| Sample number | Age range | Sample number | Age range | ||||
| Blood | 160/80:80 | 40.2±22.7 | 112 | 1-75 | 48 | 1-75 | |
| Buccal cells | 160/80:80 | 40.5±22.8 | 112a | 2-80 | 48 | 2-80 | |
| Bones | 161/129:32 | 46.1±14.8 | 112a | 19-93 | 49b | 22-75 | |
abecause of the missing data for PDE4C C5 or ELOVL2 C2 one sample from the buccal cell training set and one sample from the bone training set were excluded and therefore the final number of samples to train the models was 111.
bthree samples had missing data in ELOVL2 C2.