Internal validation of STRmix™ for the interpretation of single source and mixed DNA profiles

Moretti, Tamyra R.; Just, Rebecca S.; Kehl, Susannah C.; Willis, Leah E.; Buckleton, John; Bright, Jo‐Anne; Taylor, Duncan; Onorato, Anthony J.

doi:10.1016/j.fsigen.2017.04.004

Cited by 78 publications

(56 citation statements)

References 27 publications

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“…This finding using STRmix™ also was reported by Taylor and Moretti et al. and demonstrated that mixed DNA profiles containing more contributors are reliably reported as less informative.…”

Section: Reliability Of Pg At Low Templatesupporting

confidence: 85%

“…Fortunately, validation data exist, peer‐reviewed literature is available, and limitations of the applications are described. One example of such work with STRmix™ is summarized in Table . This work covers 1–5 person mixtures at much greater ratios and lower templates than referred to in the PCAST Report.…”

Section: Pg and The Pcast Reportmentioning

confidence: 99%

“…Moretti et al. reported a total of 277 two‐, three‐, four‐, and five person mixtures, prepared using DNA from thirteen contributors with varying individual template amounts (ranging 0.006–3.2 ng) and total template amounts (ranging 0.019–4 ng) tested using STRmix™ (Table ). Ratios ranged from equal contributions (i.e., 1:1 to 1:1:1:1:1) to up to a maximum major contribution of approximately 95% (e.g., 20:1), as well as various intermediate proportions.…”

Section: Reliability Of Pg At Low Templatementioning

confidence: 99%

“…Moretti et al. reported the effect on the LR of assuming an incorrect N by both increasing ( N +1) and decreasing ( N −1) from the most plausible number. For the N +1 tests, 27 total one‐, two‐, and three‐person profiles were interpreted as originating from two, three, and four individuals, respectively.…”

Section: Number Of Contributors (Noc)mentioning

confidence: 99%

“…For example, a false exclusion of a POI due to incomplete resolution of a TH01 minor 10 allele from the major contributor's 9.3 allele was shown by Moretti et al. This “false exclusion” was a limitation of CE instrument resolution and not due to the PG software. However, Moretti et al.…”

Section: Subjectivitymentioning

confidence: 99%

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The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity

Buckleton

Bright

Gittelson³

et al. 2018

Journal of Forensic Sciences

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Forensic DNA interpretation is transitioning from manual interpretation based usually on binary decision-making toward computer-based systems that model the probability of the profile given different explanations for it, termed probabilistic genotyping (PG). Decision-making by laboratories to implement probability-based interpretation should be based on scientific principles for validity and information that supports its utility, such as criteria to support admissibility. The principles behind STRmix™ are outlined in this study and include standard mathematics and modeling of peak heights and variability in those heights. All PG methods generate a likelihood ratio (LR) and require the formulation of propositions. Principles underpinning formulations of propositions include the identification of reasonably assumed contributors. Substantial data have been produced that support precision, error rate, and reliability of PG, and in particular, STRmix™. A current issue is access to the code and quality processes used while coding. There are substantial data that describe the performance, strengths, and limitations of STRmix™, one of the available PG software.

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Section: Reliability Of Pg At Low Templatesupporting

confidence: 85%

Section: Pg and The Pcast Reportmentioning

confidence: 99%

Section: Reliability Of Pg At Low Templatementioning

confidence: 99%

Section: Number Of Contributors (Noc)mentioning

confidence: 99%

Section: Subjectivitymentioning

confidence: 99%

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