Literature DB >> 29175600

Forensic DNA methylation profiling from minimal traces: How low can we go?

Jana Naue1, Huub C J Hoefsloot2, Ate D Kloosterman3, Pernette J Verschure4.   

Abstract

Analysis of human DNA methylation (DNAm) can provide additional investigative leads in crime cases, e.g. the type of tissue or body fluid, the chronological age of an individual, and differentiation between identical twins. In contrast to the genetic profile, the DNAm level is not the same in every cell. At the single cell level, DNAm represents a binary event at a defined CpG site (methylated versus non-methylated). The DNAm level from a DNA extract however represents the average level of methylation of the CpG of interest of all molecules in the forensic sample. The variance of DNAm levels between replicates is often attributed to technological issues, i.e. degradation of DNA due to bisulfite treatment, preferential amplification of DNA, and amplification failure. On the other hand, we show that stochastic variations can lead to gross fluctuation in the analysis of methylation levels in samples with low DNA levels. This stochasticity in DNAm results is relevant since low DNA amounts (1pg - 1ng) is rather the norm than the exception when analyzing forensic DNA samples. This study describes a conceptual analysis of DNAm profiling and its dependence on the amount of input DNA. We took a close look at the variation of DNAm analysis due to DNA input and its consequences for different DNAm-based forensic applications. As can be expected, the 95%-confidence interval of measured DNAm becomes narrower with increasing amounts of DNA. We compared this aspect for two different DNAm-based forensic applications: body fluid identification and chronological age determination. Our study shows that DNA amount should be well considered when using DNAm for forensic applications.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA methylation; Forensic genetics; Interpretation guidelines; Low-template DNA

Mesh:

Substances:

Year:  2017        PMID: 29175600     DOI: 10.1016/j.fsigen.2017.11.004

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


  7 in total

1.  Predicting Chronological Age from DNA Methylation Data: A Machine Learning Approach for Small Datasets and Limited Predictors.

Authors:  Anastasia Aliferi; David Ballard
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Interpol review of forensic biology and forensic DNA typing 2016-2019.

Authors:  John M Butler; Sheila Willis
Journal:  Forensic Sci Int       Date:  2020-02-20       Impact factor: 2.395

3.  Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones.

Authors:  Anna Woźniak; Antonia Heidegger; Danuta Piniewska-Róg; Ewelina Pośpiech; Catarina Xavier; Aleksandra Pisarek; Ewa Kartasińska; Michał Boroń; Ana Freire-Aradas; Marta Wojtas; Maria de la Puente; Harald Niederstätter; Rafał Płoski; Magdalena Spólnicka; Manfred Kayser; Christopher Phillips; Walther Parson; Wojciech Branicki
Journal:  Aging (Albany NY)       Date:  2021-03-11       Impact factor: 5.682

4.  Bisulfite-Converted DNA Quantity Evaluation: A Multiplex Quantitative Real-Time PCR System for Evaluation of Bisulfite Conversion.

Authors:  Sae Rom Hong; Kyoung-Jin Shin
Journal:  Front Genet       Date:  2021-02-25       Impact factor: 4.599

5.  Altered DNA methylation at age-associated CpG sites in children with growth disorders: impact on age estimation?

Authors:  F Mayer; J Becker; C Reinauer; P Böhme; S B Eickhoff; B Koop; T Gündüz; J Blum; W Wagner; S Ritz-Timme
Journal:  Int J Legal Med       Date:  2022-05-12       Impact factor: 2.791

Review 6.  Massively parallel sequencing techniques for forensics: A review.

Authors:  Brigitte Bruijns; Roald Tiggelaar; Han Gardeniers
Journal:  Electrophoresis       Date:  2018-08-22       Impact factor: 3.535

Review 7.  Current Methods for Body Fluid Identification Related to Sexual Crime: Focusing on Saliva, Semen, and Vaginal Fluid.

Authors:  Koichi Sakurada; Ken Watanabe; Tomoko Akutsu
Journal:  Diagnostics (Basel)       Date:  2020-09-14
  7 in total

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