Forensic Age Estimation through a DNA Methylation-Based Age Prediction Model in the Italian Population: A Pilot Study

• Published in: International journal of molecular sciences Vol. 24; no. 6; p. 5381
• Main Authors: Onofri, Martina, Delicati, Arianna, Marcante, Beatrice, Carlini, Luigi, Alessandrini, Federica, Tozzo, Pamela, Carnevali, Eugenia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.03.2023; MDPI
• Subjects: Age; Age determination; age estimation; Aging; Analysis; Bisulfite; Capillary electrophoresis; Chronology; CpG Islands; Datasets; Deoxyribonucleic acid; DNA; DNA Methylation; Electrophoresis; Epigenetic inheritance; Epigenetics; FHL2 protein; forensic genetics; Forensic science; Genetic Markers; Methylation; Pilot Projects; Population studies; Prediction models; Purification; Regression analysis; Scientific equipment and supplies industry; SNaPshot; Workflow; United States; DNA methylation; age estimation; SNaPshot; epigenetics; forensic genetics
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24065381

DNA methylation is one of the epigenetic marks which has been studied intensively in recent years for age predicting purposes in the forensic area. In order to integrate age prediction into routine forensic workflow, the purpose of this study was to standardize and optimize a DNA methylation-based protocol tailored to the Italian context. A previously published protocol and age-predictive method was implemented for the analysis of 84 blood samples originating from Central Italy. The study here presented is based on the Single Base Extension method, considering five genes: ELOVL2, FHL2, KLF14, C1orf132, now identified as MIR29B2C, and TRIM59. The precise and specific steps consist of DNA extraction and quantification, bisulfite conversion, amplification of converted DNA, first purification, single base extension, second purification, capillary electrophoresis, and analysis of the results to train and test the tool. The prediction error obtained, expressed as mean absolute deviation, showed a value of 3.12 years in the training set and 3.01 years in the test set. Given that population-based differences in DNA methylation patterns have been previously reported in the literature, it would be useful to further improve the study implementing additional samples representative of the entire Italian population.