Forensic age prediction in bone samples

5^th International Conference on Forensic Research & Technology

October 31-November 02, 2016 San Francisco, USA

Ana Freire-Aradas, C Phillips, A Mosquera-Miguel, L Giron-Santamaria, A Gomez-Tato, M Casares de Cal, J Alvarez-Dios, P M Schneider, A Carracedo and M V Lareu

University of Santiago de Compostela, Spain
University of Cologne, Germany

Posters & Accepted Abstracts: J Forensic Res

Abstract :

Forensic age prediction provides key information to be used as a tool for DNA intelligence in order to guide police investigations (if absence of suspects or DNA databases entries occurs). Recent discoveries of age-correlated epigenetic signatures such as DNA methylation on CpG sites through the genome were used to design age prediction models to be applied to forensic biological stains. Recently, our research group developed a forensic age prediction system based on seven DNA methylation biomarkers (CpG sites) detected under EpiTYPER technology. The prediction model was constructed using 725 DNA blood samples from European population and was based on quantile regression analysis, providing a median absolute prediction error of �±3.07 years. The prediction system was already implemented in Snipper Forensic Classifier with open access to customers. The simultaneous calculation of the corresponding age prediction intervals besides the estimated age becomes a great advantage, allowing more accurate predictions in certain sample groups as young subjects. In the present work, further assessment of our model was carried out in order to be reduced and adapted to be applied to data derived from the Illumina HumanMethylation450 Bead-Chip. Moreover, additional forensic tissues such as bone samples were subsequently evaluated. Prediction accuracies are outlined and discussed.

Biography :

Email: ana.freire3@hotmail.com