Evidence map›Paper›PMID 34599363›Full record

ArticleInternational journal of legal medicine2021

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

Anton Lucassen, Karen Ehlers, Paul J Grobler, Charles H Brenner

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Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anton LucassenQuality Management Section (Biology), Division Forensic Services, South African Police Service, Private Bag 18, Arcadia, Pretoria, 0007, South Africa. lucassen@vodamail.co.za.ORCID http://orcid.org/0000-0002-6961-1235
Karen EhlersFaculty of Natural and Agricultural Sciences, Department of Genetics, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa.
Paul J GroblerFaculty of Natural and Agricultural Sciences, Department of Genetics, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa.
Charles H BrennerDNA VIEW & UC Berkeley Human Rights Center, Oakland, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DNADNA FingerprintingHumansLaboratoriesLikelihood FunctionsMaleModels, StatisticalDNADNAˑVIEW® Mixture Solution™DNA mixturesLikelihood ratiosLow-template DNAProbabilistic genotyping

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.