Calibrating epigenetic clocks with training data error

ABSTRACT: Abstract Animal age data are valuable for management of wildlife populations. Yet, for most species, there is no practical method for determining the age of unknown individuals. However, epigenetic clocks, a molecular‐based method, are capable of age prediction by sampling specific tissue types and measuring DNA methylation levels at specific loci. Developing an epigenetic clock requires a large number of samples from animals of known ages. For most species, there are no individuals whose exact ages are known, making epigenetic clock calibration inaccurate or impossible. For many epigenetic clocks, calibration samples with inaccurate age estimates introduce a degree of error to epigenetic clock calibration. In this study, we investigated how much error in the training data set of an epigen

SUBMITTER: Mayne B 

PROVIDER: S-EPMC10445086 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature