Developing a male-specific age predictive model based on Y-CpGs for forensic analysis. (February 2023)
- Record Type:
- Journal Article
- Title:
- Developing a male-specific age predictive model based on Y-CpGs for forensic analysis. (February 2023)
- Main Title:
- Developing a male-specific age predictive model based on Y-CpGs for forensic analysis
- Authors:
- Jiang, Lanrui
Zhang, Ke
Wei, Xiaowen
Li, Jiahang
Wang, Shuangshuang
Wang, Zefei
Zhou, Yuxiang
Zha, Lagabaiyila
Luo, Haibo
Song, Feng - Abstract:
- Abstract: In forensic work, predicting the age of the criminal suspect or victim could provide beneficial clues for investigation. Epigenetic age estimation based on age-correlated DNA methylation has been one of the most widely studied methods of age estimation. However, almost all available epigenetic age prediction models are based on autosomal CpGs, which are only applicable to single-source DNA samples. In this study, we screened the available methylation data sets to identify loci with potential to meet the objectives of this study and then established a male-specific age prediction model based on 2 SNaPshot systems that contain 13 Y-CpGs and the mean absolute deviation (MAD) values were 4–6 years. The multiplex methylation SNaPshot systems and age-predictive model have been validated for sensitivity (the DNA input could be as low as 0.5 ng) and male specificity. They are supposed to have feasibility in forensic practice. In addition, it demonstrated that the method was also applicable to bloodstains, which were commonly found at crime scenes. The results showed good performance (the training set: R 2 = 0.9341, MAD = 4.65 years; the test set: R 2 = 0.8952, MAD = 5.73 years) in case investigation for predicting male age. For mixtures, when the male to female DNA ratio is 1:1, 1:10, the deviation between the actual age and the predicted age obtained by the model was less than 8 years, which offers great hope for future prediction of the age of males in mixtures and willAbstract: In forensic work, predicting the age of the criminal suspect or victim could provide beneficial clues for investigation. Epigenetic age estimation based on age-correlated DNA methylation has been one of the most widely studied methods of age estimation. However, almost all available epigenetic age prediction models are based on autosomal CpGs, which are only applicable to single-source DNA samples. In this study, we screened the available methylation data sets to identify loci with potential to meet the objectives of this study and then established a male-specific age prediction model based on 2 SNaPshot systems that contain 13 Y-CpGs and the mean absolute deviation (MAD) values were 4–6 years. The multiplex methylation SNaPshot systems and age-predictive model have been validated for sensitivity (the DNA input could be as low as 0.5 ng) and male specificity. They are supposed to have feasibility in forensic practice. In addition, it demonstrated that the method was also applicable to bloodstains, which were commonly found at crime scenes. The results showed good performance (the training set: R 2 = 0.9341, MAD = 4.65 years; the test set: R 2 = 0.8952, MAD = 5.73 years) in case investigation for predicting male age. For mixtures, when the male to female DNA ratio is 1:1, 1:10, the deviation between the actual age and the predicted age obtained by the model was less than 8 years, which offers great hope for future prediction of the age of males in mixtures and will be a powerful tool for special cases, such as sexual assault. Furthermore, the work provides a basis for the application of Y-CpGs in forensic science. Highlights: The age prediction model established in this study is based on Y-CpGs and has been validated. The methylation levels were obtained by the multiplex methylation SNaPshot assay. The mean absolute deviation value could obtain as low as 4.65 years. The multiplex SNaPshot assay and prediction model seem to apply to bloodstain samples. The method offers the possibility to analyze the age of males in mixtures. … (more)
- Is Part Of:
- Forensic science international. Volume 343(2023)
- Journal:
- Forensic science international
- Issue:
- Volume 343(2023)
- Issue Display:
- Volume 343, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 343
- Issue:
- 2023
- Issue Sort Value:
- 2023-0343-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02
- Subjects:
- Forensic science -- Epigenetic -- DNA methylation -- Y-CpG -- Age estimation -- SNaPshot
Medical jurisprudence -- Periodicals
Chemistry, Forensic -- Periodicals
Forensic Medicine -- Periodicals
Médecine légale -- Périodiques
Chimie légale -- Périodiques
Gerechtelijke geneeskunde
Gerechtelijke chemie
Gerechtelijke psychiatrie
Chemistry, Forensic
Medical jurisprudence
Electronic journals
Periodicals
Electronic journals
614.1 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/03790738 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03790738 ↗
http://www.sciencedirect.com/science/journal/03790738 ↗
http://infotrac.galegroup.com/itw/infomark/1/1/1/purl=rc18_EAIM_0__jn+%22Forensic+Science+International%22?sw_aep=stand ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.forsciint.2023.111566 ↗
- Languages:
- English
- ISSNs:
- 0379-0738
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3987.764000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25666.xml