Literature DB >> 30176440

Recent progress, methods and perspectives in forensic epigenetics.

Athina Vidaki1, Manfred Kayser2.   

Abstract

Forensic epigenetics, i.e., investigating epigenetics variation to resolve forensically relevant questions unanswerable with standard forensic DNA profiling has been gaining substantial ground over the last few years. Differential DNA methylation among tissues and individuals has been proposed as useful resource for three forensic applications i) determining the tissue type of a human biological trace, ii) estimating the age of an unknown trace donor, and iii) differentiating between monozygotic twins. Thus far, forensic epigenetic investigations have used a wide range of methods for CpG marker discovery, prediction modelling and targeted DNA methylation analysis, all coming with advantages and disadvantages when it comes to forensic trace analysis. In this review, we summarize the most recent literature on these three main topics of current forensic epigenetic investigations and discuss limitations and practical considerations in experimental design and data interpretation, such as technical and biological biases. Moreover, we provide future perspectives with regard to new research questions, new epigenetic markers and recent technological advances that - as we envision - will move the field towards forensic epigenomics in the near future.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CpG markers; DNA methylation; Epigenomics; Forensic epigenetics; Investigative intelligence

Mesh:

Substances:

Year:  2018        PMID: 30176440     DOI: 10.1016/j.fsigen.2018.08.008

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  20 in total

1.  Age estimation based on different molecular clocks in several tissues and a multivariate approach: an explorative study.

Authors:  Julia Becker; Nina Sophia Mahlke; A Reckert; S B Eickhoff; S Ritz-Timme
Journal:  Int J Legal Med       Date:  2019-04-11       Impact factor: 2.686

Review 2.  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

3.  DNA methylation levels and telomere length in human teeth: usefulness for age estimation.

Authors:  Ana Belén Márquez-Ruiz; Lucas González-Herrera; Juan de Dios Luna; Aurora Valenzuela
Journal:  Int J Legal Med       Date:  2020-01-02       Impact factor: 2.686

4.  The Use of Forensic DNA Phenotyping in Predicting Appearance and Biogeographic Ancestry.

Authors:  Peter M Schneider; Barbara Prainsack; Manfred Kayser
Journal:  Dtsch Arztebl Int       Date:  2019-12-23       Impact factor: 5.594

5.  Epigenetic Forensics for Suspect Identification and Age Prediction.

Authors:  Jonathan Foox; Daniela Bezdan; Priyanka Vijay; Kylie Getz; Kamolwat Ratanachai; Justin W Davis; Keith Booher; Xiaojing Yang; Cem Meydan; Christopher E Mason
Journal:  Forensic Genom       Date:  2021-09-15

6.  Epigenetics and ADHD: Reflections on Current Knowledge, Research Priorities and Translational Potential.

Authors:  Charlotte A M Cecil; Joel T Nigg
Journal:  Mol Diagn Ther       Date:  2022-08-06       Impact factor: 4.476

7.  DNA methylation of decedent blood samples to estimate the chronological age of human remains.

Authors:  Yessenia Anaya; Patrick Yew; Katherine A Roberts; W Reef Hardy
Journal:  Int J Legal Med       Date:  2021-07-10       Impact factor: 2.686

8.  Progress in the implementation of massively parallel sequencing for forensic genetics: results of a European-wide survey among professional users.

Authors:  Theresa E Gross; Jan Fleckhaus; Peter M Schneider
Journal:  Int J Legal Med       Date:  2021-04-13       Impact factor: 2.686

9.  Evaluation of six blood-based age prediction models using DNA methylation analysis by pyrosequencing.

Authors:  Antoine Daunay; Laura G Baudrin; Jean-François Deleuze; Alexandre How-Kit
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

10.  AgeGuess, a Methylomic Prediction Model for Human Ages.

Authors:  Xiaoqian Gao; Shuai Liu; Haoqiu Song; Xin Feng; Meiyu Duan; Lan Huang; Fengfeng Zhou
Journal:  Front Bioeng Biotechnol       Date:  2020-03-10
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