NDLI: Developing a DNA methylation assay for human age prediction in blood and bloodstain.

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Developing a DNA methylation assay for human age prediction in blood and bloodstain.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Huang, Yun Yan, Jing Hou, Jiayi Fu, Xiaodan Li, Luyao Hou, Yiping
Description	Country affiliation: China Author Affiliation: Huang Y ( Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.); Yan J ( Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.); Hou J ( Clinical and Translational Research Institute, University of California, San Diego. 9500 Gilman Dr., MC 0990, La Jolla, CA 92093-0990, USA.); Fu X ( Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.); Li L ( Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.); Hou Y ( Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China. Electronic address: profhou@yahoo.com.)
Abstract	Age prediction of an individual based on biological traces remained in a crime scene is of ultimate importance for criminal investigation. Growing evidence indicates that some CpG sites may have age-related methylation changes and thus may be a promising tool for age prediction. In this study, we utilized the pyrosequencing approach to screen age-related CpG (AR-CpG) sites for age prediction. Five AR-CpGs were identified as age-related markers from thirty-eight candidates, among which three CpG sites, ITGA2B_1, NPTX2_3, and NPTX2_4 were never reported in previous studies. We fit a linear regression model for age prediction based on methylation assay for 89 blood samples from donors aged 9-75 years old. The model included four AR-CpG markers in three gene fragments ASPA, ITGA2B and NPTX2 and enabled the age prediction with R(2)=0.819. The mean absolute deviation (MAD) from chronological age of the model was 7.870. We validated the linear regression model with a validation set of 40 blood samples, and the prediction MAD was 7.986. There was no statistically significant difference in age prediction between 20 pairs of blood samples and bloodstains. Six pairs of fresh and old bloodstains were analyzed using our assay. The obtained results showed the assay still performed an effective prediction on bloodstains after four-month storage in room conditions. This study indicates that our DNA methylation assay is a reliable and effective method for age prediction for forensic purposes.
File Format	HTM / HTML
ISSN	18724973
Volume Number	17
e-ISSN	18780326
Journal	Forensic Science International: Genetics
Language	English
Publisher	Elsevier
Publisher Date	2015-07-01
Publisher Place	Netherlands
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Forensic Sciences Aging Blood Blood Stains Cpg Islands Dna Methylation Dna Sequence Analysis, Dna Methods Adolescent Adult Aged Genetics Biological Markers Child Female Forensic Genetics Humans Linear Models Male Middle Aged Predictive Value Of Tests Young Adult Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Genetics Pathology and Forensic Medicine

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