Development of two age estimation models for buccal swab samples based on 3 CpG sites analyzed with pyrosequencing...

The analysis of DNA methylation levels of specific CpG sites is one of the most promising molecular techniques to estimate an individual's age. Numerous studies were published recently presenting age estimation models based on DNA methylation patterns from blood samples, with only a few using saliva or buccal swabs. The aim of this study was to identify age-dependent methylation of 88 CpG sites in eight different marker regions (PDE4C, ELOVL2, ITGA2B, ASPA, EDARADD, SST, KLF14 and SLC12A5) in buccal swab samples. A total of 141 buccal swabs from individuals with age ranging from 21 to 69 years were split into a training set (n = 95) and a validation set (n = 46). Samples of the training set were analyzed by pyrosequencing and markers with best age correlation were identified. Stepwise linear regression analysis was performed resulting in an age estimation model including three of the examined CpG sites and showing a mean absolute deviation of estimated from chronological age of 5.11 years. To allow easy implementation into forensic laboratories without the need for pyrosequencing equipment, a multiplex minisequencing reaction was developed, including the same CpG sites previously identified by pyrosequencing. An adjusted age estimation model was evaluated with a mean absolute deviation of estimated from chronological age of 5.16 years. The independent validation set of 46 buccal swab samples was used to test model performances. Mean absolute deviation of estimated from chronological age was 5.33 years and 6.44 years for the pyrosequencing model and the minisequencing model, respectively. Comparison of the two methods showed a high concordance of results, both, qualitatively and quantitatively. In conclusion, buccal swabs offer a suitable alternative to blood samples for molecular age estimation with the additional advantage of being collected non-invasively. Furthermore we showed that minisequencing offers a cost-effective and easy-to-integrate alternative to pyrosequencing for the analysis of methylation status of individual CpG sites.