Literature DB >> 24528579

Euroforgen-NoE collaborative exercise on LRmix to demonstrate standardization of the interpretation of complex DNA profiles.

L Prieto1, H Haned2, A Mosquera3, M Crespillo4, M Alemañ5, M Aler6, F Alvarez1, C Baeza-Richer7, A Dominguez8, C Doutremepuich9, M J Farfán10, M Fenger-Grøn11, J M García-Ganivet12, E González-Moya13, L Hombreiro14, M V Lareu3, B Martínez-Jarreta15, S Merigioli16, P Milans Del Bosch17, N Morling11, M Muñoz-Nieto4, E Ortega-González18, S Pedrosa19, R Pérez4, C Solís1, I Yurrebaso20, P Gill21.   

Abstract

There has been very little work published on the variation of reporting practices of mixtures between laboratories, but it has been previously demonstrated that there is little consistency. This is because there is no current uniformity of practice, so different laboratories will operate using different rules. The interpretation of mixtures is not solely a matter of using some software to provide 'an answer'. An assessment of a case will usually begin with a consideration of the circumstances of a crime. Assumptions made about the numbers of contributors follow from an examination of the electropherogram(s)--and these may differ between the prosecution and the defence hypotheses. There may be a necessity to evaluate several sets of hypotheses for any given case if the circumstances are uncertain. Once the hypotheses are formulated, the mathematical analysis is complex and can only be accomplished by the use of specialist software. In order to obtain meaningful results, it is essential that scientists are trained, not only in the use of the software, but also in the methodology to understand the likelihood ratio concept that is used. The Euroforgen-NoE initiative has developed a training course that utilizes the LRmix program to carry out the calculations. This software encompasses the recommendations of the ISFG DNA commissions on mixture interpretation and is able to interpret samples that may come from two or more contributors and may also be partial profiles. Recently, eighteen different laboratories were trained in the methodology. Afterwards they were asked to independently analyze two different cases with partial mixture DNA evidence and to write a statement court-report. We show that by introducing a structured training programme, it is possible to demonstrate, for the first time, that a high degree of standardization, leading to uniformity of results can be achieved by participating laboratories.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Drop-in; Drop-out; Euroforgen-NoE; Forensim; LRmix; Likelihood ratio

Mesh:

Year:  2013        PMID: 24528579     DOI: 10.1016/j.fsigen.2013.10.011

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


  6 in total

1.  The MASTiFF panel-a versatile multiple-allele SNP test for forensics.

Authors:  C Phillips; L Manzo; M de la Puente; M Fondevila; M V Lareu
Journal:  Int J Legal Med       Date:  2019-12-21       Impact factor: 2.686

2.  Typing of semen-containing mixtures using ARMS-based semen-specific CpG-InDel/STR markers.

Authors:  Zeqin Li; Yidan Li; Na Liu; Fang Yuan; Feng Liu; Jinding Liu; Keming Yun; Jiangwei Yan; Gengqian Zhang
Journal:  Int J Legal Med       Date:  2022-05-28       Impact factor: 2.686

3.  A 124-plex Microhaplotype Panel Based on Next-generation Sequencing Developed for Forensic Applications.

Authors:  Jing-Bo Pang; Min Rao; Qing-Feng Chen; An-Quan Ji; Chi Zhang; Ke-Lai Kang; Hao Wu; Jian Ye; Sheng-Jie Nie; Le Wang
Journal:  Sci Rep       Date:  2020-02-06       Impact factor: 4.379

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

6.  The STRidER Report on Two Years of Quality Control of Autosomal STR Population Datasets.

Authors:  Martin Bodner; Walther Parson
Journal:  Genes (Basel)       Date:  2020-08-07       Impact factor: 4.096

  6 in total

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