Literature DB >> 27108355

The EpiTect Methyl qPCR Assay as novel age estimation method in forensic biology.

Shakhawan K Mawlood1, Lynn Dennany2, Nigel Watson3, Benjamin S Pickard4.   

Abstract

Human aging is associated with epigenetic modification of the genome. DNA methylation at cytosines appears currently as the best characterised modification that occurs during the mammalian lifetime. Such methylation changes at regulatory region can provide insights to track contributor age for criminal investigation. The EpiTect Methyl II PCR system (QIAGEN) was used to compare methylation levels of CpG islands in the promoter regions of a number of age related genes, of which four successfully showed changes across the lifespan (NPTX2, KCNQ1DN, GRIA2 and TRIM58). This technique is based on the detection of remaining input genome after digestion with a methylation-sensitive restriction enzyme. This study examined DNA specimens from 80 female subjects of various ages (18-91 years) obtained from blood, using primers designed to flank the studied gene loci. The data obtained from DNA methylation quantification showed successful discrimination among volunteered ages. Overall, the difference between predicted and real age was about 11 years and absolute mean differences (AMD) was only 7.2 years error. We suggest the EpiTect system can be used as fast and simple innovative tool in future forensic age estimation.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Aging; CpG Island; DNA methylation; Epigenetics; Gene promoter; Methylation-sensitive restriction

Mesh:

Substances:

Year:  2016        PMID: 27108355     DOI: 10.1016/j.forsciint.2016.03.047

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

Review 1.  Forensic Epigenetic Analysis: The Path Ahead.

Authors:  Seyed E Hasnain
Journal:  Med Princ Pract       Date:  2019-03-12       Impact factor: 1.927

2.  Culturing conditions highly affect DNA methylation and gene expression levels in MCF7 breast cancer cell line.

Authors:  Lama Hamadneh; May Al-Majawleh; Yazun Jarrar; Sawsan Shraim; Mariam Hasan; Basha'er Abu-Irmaileh
Journal:  In Vitro Cell Dev Biol Anim       Date:  2018-04-09       Impact factor: 2.416

3.  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

4.  From forensic epigenetics to forensic epigenomics: broadening DNA investigative intelligence.

Authors:  Athina Vidaki; Manfred Kayser
Journal:  Genome Biol       Date:  2017-12-21       Impact factor: 13.583

5.  DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.

Authors:  Athina Vidaki; David Ballard; Anastasia Aliferi; Thomas H Miller; Leon P Barron; Denise Syndercombe Court
Journal:  Forensic Sci Int Genet       Date:  2017-02-28       Impact factor: 4.882

6.  Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease.

Authors:  Huiyuan Qi; Kodzue Kinoshita; Takashi Mori; Kaori Matsumoto; Yukiko Matsui; Miho Inoue-Murayama
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

  6 in total

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