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Forensic Age Estimation through a DNA Methylation-Based Age Prediction Model in the Italian Population: A Pilot
Martina Onofri1, Arianna Delicati2, Beatrice Marcante2
1Section of Legal Medicine, Department of Medicine and Surgery, Santa. Maria Hospital, University of Perugia, 05100 Terni, Italy.
International Journal of Molecular Sciences
|March 29, 2023
Summary
This study optimized DNA methylation analysis for forensic age prediction in Italy, achieving accurate age estimation with a 3.01-year error. The findings support integrating epigenetic methods into routine forensic workflows.
Area of Science:
- Forensic Science
- Epigenetics
- Molecular Biology
Background:
- DNA methylation is a key epigenetic marker increasingly utilized for forensic age prediction.
- Standardizing protocols is crucial for integrating epigenetic age estimation into routine forensic casework.
Purpose of the Study:
- To standardize and optimize a DNA methylation-based protocol for forensic age prediction.
- To tailor the protocol for the Italian population context.
- To evaluate the accuracy of the optimized method using a previously established age-prediction model.
Main Methods:
- Implementation of a published protocol using the Single Base Extension method.
- Analysis of 84 blood samples from Central Italy.
- Focus on five specific genes: ELOVL2, FHL2, KLF14, MIR29B2C, and TRIM59.
- Involved DNA extraction, bisulfite conversion, amplification, purification, single base extension, capillary electrophoresis, and data analysis.
Main Results:
- The optimized protocol achieved a mean absolute deviation of 3.12 years in the training set and 3.01 years in the test set.
- The method demonstrated reliable age prediction accuracy within the studied population.
Conclusions:
- The standardized DNA methylation protocol shows promise for forensic age prediction in the Italian population.
- Further validation with a larger, more diverse Italian sample set is recommended to account for potential population-based methylation differences.

