Developing a DNA methylation assay for human age prediction in blood and bloodstain

Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system

“…Lastly, to directly compare our results to other forensic age predictions models previously reported [24,29], we categorized our data set into four groups: category II (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39), category III (40-59), category IV (60-75), category V (75-104) and evaluated the prediction results as correct when the predicted age matched the actual age AE5 years. Category II was successfully predicted in 85.51% of the population, similar to the findings of Zbie c-Piekarska's study and just below the predictive success of Bekaert's study.…”

“…Epigenetic studies using HumanMethylation450 data have been the basis for development of preliminary age-predictive tests using a high number of CpG sites (or CpG positions) [18][19][20][21] and capable of predicting age with a deviation interval of AE5 years from the actual age. Recently, prediction models based on small-scale CpG assays have been explored in blood [22][23][24][25], bloodstains [26], saliva [27], semen [28] and teeth [29]. However, some of these studies have small sample sizes covering a restricted range of ages between young and old, while the prediction frameworks tend to use linear regression models which cannot adjust the prediction deviation interval in those age ranges prone to show higher differences between predicted and actual age, notably amongst the most elderly.…”

DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

“…Within the forensic field, recent age prediction models based on a small number of CpG sites have also been studied, mainly in blood [24], [25], [26], [27], [28], [29], [30], but also in other tissues such as saliva [31], semen [32] and teeth [33]. However, most of these models are based on a limited number of individuals and some still lack validation in an independent cohort of samples.…”

Estimation de l’âge médicolégal grâce à l’étude de la méthylation de l’ADN : revue de la littérature

“…Tableau 1 Estimation de l'âge grâce à l'étude de la méthylation de l'ADN, résumé de la littérature. Dans la majorité de ces études, aucuns biais liés au sexe de l'individu et à l'origine ethnique n'ont été mis en évidence [34,39,49,56,63].…”