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Methylation‐Based Age Prediction Using Pyrosequencing Platform from Seminal Stains in Han Chinese Males
Author(s) -
Li Luyao,
Song Feng,
Lang Min,
Hou Jiayi,
Wang Zheng,
Prinz Mechthild,
Hou Yiping
Publication year - 2020
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/1556-4029.14186
Subject(s) - pyrosequencing , forensic science , sexual assault , semen , sperm , biology , andrology , medicine , genetics , poison control , injury prevention , gene , environmental health
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.