Epigenome-wide screening of CpG markers to develop a multiplex methylation SNaPshot assay for age prediction |
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| Institution: | 1. Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China;2. Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing 100088, China;3. Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China;1. Department of Forensic Analytical Toxicology, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China;2. Department of Legal Medicine, College of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot, China;1. Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan;2. Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta (BAUITEMS), Pakistan;1. Department of Ophthalmology, Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India;2. Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, New Delhi, India;3. Department of Ocular Pharmacology and Pharmacy, Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India;1. Department of Pathology, ACSR Government Medical College, Nellore, India;2. Department of Oral Medicine & Radiology, Government Dental College and Hospital, KNR University, Warangal, India;3. Department of Oral Pathology and Microbiology, Panineeya Mahavidyalaya Institute of Dental Sciences, Hyderabad, India;4. Clinical Practitioner, Hyderabad, India;5. Department of Prosthodontics, Army College of Dental Sciences, Secunderabad, India;6. Department of Oral Medicine and Radiology, Panineeya Mahavidyalaya Institute of Dental Sciences, Hyderabad, India;7. Vokkaligara Sangha Dental College & Hospital, Bangalore, India;8. La Trobe Rural Health School, Flora Hill, Australia;9. Department of Rural Clinical Sciences, La Trobe Rural Health School, La Trobe University, Flora Hill, Australia;10. Department of Forensic Odontology, Panineeya Mahavidyalaya Institute of Dental Sciences, Hyderabad, Telangana, India;1. Department of Forensic Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan;2. Department of Legal Medicine, Nippon Medical School, Japan;3. Department of Emergency and Critical Care Medicine, Tokai University School of Medicine, Japan;4. Department of Food Sciences and Biotechnology, Graduate School of Science and Technology, Hiroshima Institute of Technology, Japan;5. Center for Cause of Death Investigation Research, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan |
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| Abstract: | Age prediction can provide important information about the contributors of biological evidence left at crime scenes. DNA methylation has been regarded as the most promising age-predictive biomarker. Measuring the methylation level at the genome-wide scale is an important step to screen specific markers for forensic age prediction. In present study, we screened out five age-related CpG sites from the public EPIC BeadChip data and evaluated them in a training set (115 blood) by multiplex methylation SNaPshot assay. Through full subset regression, the five markers were narrowed down to three, namely cg10501210 (C1orf132), cg16867657 (ELOVL2), and cg13108341 (DNAH9), of which the last one was a newly discovered age-related CpG site. An age prediction model was built based on these three markers, explaining 86.8% of the variation of age with a mean absolute deviation (MAD) of 4.038 years. Then, the multiplex methylation SNaPshot assay was adjusted according to the age prediction model. Considering that bloodstains are one of the most common biological samples in practical cases, three validation sets composed of 30 blood, 30 fresh bloodstains and 30 aged bloodstains were used for evaluation of the age prediction model. The MAD of each set was estimated as 4.734, 4.490, and 5.431 years, respectively, suggesting that our age prediction model was applicable for age prediction for blood and bloodstains in Chinese Han population of 11–71 age. In general, this study describes a workflow of screening CpG markers from public chip data and presents a 3-CpG markers model for forensic age prediction. |
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| Keywords: | Forensic genetics Age prediction DNA methylation AR-CpGs Bloodstain SNaPshot |
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