Literature DB >> 27591539

Evaluation of a blood-specific DNA methylated region and trial for allele-specific blood identification from mixed body fluid DNA.

Ken Watanabe1, Tomoko Akutsu2, Ayari Takamura2, Koichi Sakurada3.   

Abstract

The identification of blood samples obtained from crime scenes has been an important step in forensic investigation. Recently, a novel approach using the blood-specific methylated CpG site cg06379435 has been reported. In this study, we developed a real-time polymerase-chain-reaction-based method that can simply and rapidly quantitate the methylation ratio of cg06379435 and its neighboring CpGs and set the threshold ratios for blood identification by analyzing various body fluid samples. Blood identification using the thresholds was successfully performed in the analysis of a small amount (1ng) of DNA from blood and various aged blood samples, including 29-year-old stains. We also demonstrated a test for allele-specific blood identification from a mixed DNA sample by bisulfite sequencing analysis of these CpG sites and their neighboring single nucleotide polymorphism, rs7359943 (A/G), which is of relevance in cases where mixed samples are obtained from crime scenes. The stability of DNA methylation in aged samples and the usefulness of neighboring genetic information shown in this study suggest that DNA-methylation-based body fluid identification will play a major role in future forensic investigations.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bisulfite sequence; Blood identification; DNA methylation; Real-time polymerase chain reaction; Single nucleotide polymorphism

Mesh:

Year:  2016        PMID: 27591539     DOI: 10.1016/j.legalmed.2016.08.004

Source DB:  PubMed          Journal:  Leg Med (Tokyo)        ISSN: 1344-6223            Impact factor:   1.376


  2 in total

Review 1.  Characterization of DNA methylation-based markers for human body fluid identification in forensics: a critical review.

Authors:  Farzeen Kader; Meenu Ghai; Ademola O Olaniran
Journal:  Int J Legal Med       Date:  2019-11-12       Impact factor: 2.686

2.  Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts.

Authors:  Yuya Hamano; Sho Manabe; Chie Morimoto; Shuntaro Fujimoto; Keiji Tamaki
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

  2 in total

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