Literature DB >> 25450791

The variability in likelihood ratios due to different mechanisms.

Jo-Anne Bright1, Kate E Stevenson2, James M Curran3, John S Buckleton2.   

Abstract

Recently there has been a drive towards standardisation of forensic DNA interpretation methods resulting in the uptake of probabilistic interpretation software. Some of these software solutions utilise Markov chain Monte Carlo techniques (MCMC). They will not produce an identical answer after repeat interpretations of the same evidence profile because of the Monte Carlo aspect. This is a new source of variability within the forensic DNA analysis process. In this paper we explore the size of the MCMC variability within the interpretation software STRmix™ compared to other sources of variability in forensic DNA profiling including PCR, capillary electrophoresis load and injection, and the makeup of allele frequency databases. The MCMC variability within STRmix™ was shown to be the smallest source of variability in this process.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Forensic DNA; Interpretation; Likelihood ratio; MCMC; STRmix™

Mesh:

Substances:

Year:  2014        PMID: 25450791     DOI: 10.1016/j.fsigen.2014.10.013

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


  5 in total

1.  Four model variants within a continuous forensic DNA mixture interpretation framework: Effects on evidential inference and reporting.

Authors:  Harish Swaminathan; Muhammad O Qureshi; Catherine M Grgicak; Ken Duffy; Desmond S Lun
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

2.  The Importance of Critically Examining the Level of Propositions When Evaluating Forensic DNA Results.

Authors:  Alex Biedermann; Tacha Hicks
Journal:  Front Genet       Date:  2016-02-08       Impact factor: 4.599

3.  Commentary: A "Source" of Error: Computer Code, Criminal Defendants, and the Constitution.

Authors:  Duncan A Taylor; Jo-Anne Bright; John Buckleton
Journal:  Front Genet       Date:  2017-03-15       Impact factor: 4.599

Review 4.  A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™.

Authors:  Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor
Journal:  Genes (Basel)       Date:  2021-09-30       Impact factor: 4.096

5.  Internal Validation of MaSTR™ Probabilistic Genotyping Software for the Interpretation of 2-5 Person Mixed DNA Profiles.

Authors:  Michael S Adamowicz; Taylor N Rambo; Jennifer L Clarke
Journal:  Genes (Basel)       Date:  2022-08-11       Impact factor: 4.141

  5 in total

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