Literature DB >> 34599363

Evaluating Mixture Solution™- rapid and non-MCMC probabilistic mixture analysis.

Anton Lucassen1,2, Karen Ehlers3, Paul J Grobler3, Charles H Brenner4.   

Abstract

We compare DNA mixture analysis via DNAˑVIEW® Mixture Solution™ and the current combined probability of inclusion (CPI) method of the South African Police Service (SAPS). South Africa has a high incidence of property-related crimes and sexual offences and consequently a great deal of low-template (LT-DNA) forensic DNA mixture casework and a perpetual backlog. A range of casework and laboratory-prepared sexual assault mixtures with initial male DNA amounts varying from about 2 to 200 cells were analysed to evaluate the benefits of a continuous model program. Unfortunately CPI methods are nearly useless for LT-DNA cases because of dropout-common from a mixture contribution of fewer than 20 or 30 cells. We further argue that proposed CPI elaborations to circumvent dropout lack supporting research or even explanation. Mixture Solution models mixture data as continuous rather than binary, with a mathematically coherent ("probabilistic") model which incorporates dropout and other phenomena realistically. Much more information is thereby utilised resulting in applicability to more cases (7 or fewer contributor cells suffice), stronger evidence against a suspect who is a mixture contributor and stronger evidence to absolve a non-contributor. Mixture Solution incidentally provides information which, along with rfu data, allows estimating contributions in terms of number of cells, which is a useful perspective. The method of calculation is explained.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  DNA mixtures; DNAˑVIEW® Mixture Solution™; Likelihood ratios; Low-template DNA; Probabilistic genotyping

Mesh:

Substances:

Year:  2021        PMID: 34599363     DOI: 10.1007/s00414-021-02680-2

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  8 in total

Review 1.  Interpretation of complex forensic DNA mixtures.

Authors:  C Ladd; H C Lee; N Yang; F R Bieber
Journal:  Croat Med J       Date:  2001-06       Impact factor: 1.351

2.  DNA commission of the International Society of Forensic Genetics: Recommendations on the interpretation of mixtures.

Authors:  P Gill; C H Brenner; J S Buckleton; A Carracedo; M Krawczak; W R Mayr; N Morling; M Prinz; P M Schneider; B S Weir
Journal:  Forensic Sci Int       Date:  2006-06-05       Impact factor: 2.395

3.  Allele frequency data of 15 autosomal STR loci in four major population groups of South Africa.

Authors:  Anton Lucassen; Karen Ehlers; Paul J Grobler; Adeline L Shezi
Journal:  Int J Legal Med       Date:  2013-07-28       Impact factor: 2.686

4.  Texas population substructure and its impact on estimating the rarity of Y STR haplotypes from DNA evidence*.

Authors:  Bruce Budowle; Jianye Ge; Xavier G Aranda; John V Planz; Arthur J Eisenberg; Ranajit Chakraborty
Journal:  J Forensic Sci       Date:  2009-07-15       Impact factor: 1.832

Review 5.  Probabilistic genotyping software: An overview.

Authors:  Michael D Coble; Jo-Anne Bright
Journal:  Forensic Sci Int Genet       Date:  2018-11-11       Impact factor: 4.882

6.  A comparison of statistical models for the analysis of complex forensic DNA profiles.

Authors:  Hannah Kelly; Jo-Anne Bright; John S Buckleton; James M Curran
Journal:  Sci Justice       Date:  2013-08-12       Impact factor: 2.124

7.  Validating TrueAllele® DNA mixture interpretation.

Authors:  Mark W Perlin; Matthew M Legler; Cara E Spencer; Jessica L Smith; William P Allan; Jamie L Belrose; Barry W Duceman
Journal:  J Forensic Sci       Date:  2011-08-09       Impact factor: 1.832

8.  Evaluation of forensic DNA mixture evidence: protocol for evaluation, interpretation, and statistical calculations using the combined probability of inclusion.

Authors:  Frederick R Bieber; John S Buckleton; Bruce Budowle; John M Butler; Michael D Coble
Journal:  BMC Genet       Date:  2016-08-31       Impact factor: 2.797

  8 in total

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