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Methylation-Based Age Prediction Using Pyrosequencing Platform from Seminal Stains in Han Chinese Males
Authors:Luyao Li PhD  Feng Song PhD  Min Lang PhD  Jiayi Hou PhD  Zheng Wang PhD  Mechthild Prinz PhD  Yiping Hou PhD
Institution:1. Institute for Genomic Medicine, University of California, La Jolla, San Diego, CA, 92093;2. Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041 Sichuan, China;3. Department of Sciences, John Jay College of Criminal Justice, New York, NY, 10019
Abstract:Various methods have been performed to predict an unknown individual's age from biological traces in forensic investigations. A considerably accurate age prediction for the semen donor can help narrow down the search in a sexual assault case. The aim of this study was to develop an assay for age prediction from seminal stains in Han Chinese males. We built a sperm-specific linear regression model using bisulfite pyrosequencing. Validations were conducted with a Mean Absolute Deviation from the chronological age (MAD) of 4.219 years in liquid semen, 4.158 years in fresh seminal stains, 4.393 years in aged seminal stains, and 3.880 years in mixed stains, respectively. Furthermore, our strategy enables accurate age prediction using a forensic casework sample. The strategy indicated that we produced an accurate and reliable age prediction tool for the semen donors in Han Chinese males for forensic purposes.
Keywords:forensic science  forensic genetics  age prediction  DNA methylation  pyrosequencing  seminal stain  forensic casework sample
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