MaSTR™: an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA

Holland, Mitchell M.; Tiedge, Teresa M.; Bender, Abigail J; Gaston-Sanchez, Sidney; McElhoe, Jennifer A.

doi:10.1007/s00414-021-02771-0

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…While this study included diluted mixture samples to examine the effects of stochastic amplification on the calculated LR values, it did not address degraded DNA in mixtures. That work has been examined in detail by another research group [ 67 ] to further demonstrate that MaSTR™ is an appropriate tool for forensic DNA analysis. MaSTR™ is also capable of performing analyses including kinship; however, that subject was not considered in this work, as it needs an in-depth analysis suited to a separate study and is the topic for future work.…”

Section: Discussionmentioning

confidence: 99%

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

Adamowicz

Rambo

Clarke

2022

Genes

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Mixed human deoxyribonucleic acid (DNA) samples present one of the most challenging pieces of evidence that a forensic analyst can encounter. When multiple contributors, stochastic amplification, and allele drop-out further complicate the mixture profile, interpretation by hand becomes unreliable and statistical analysis problematic. Probabilistic genotyping software has provided a tool to address complex mixture interpretation and provide likelihood ratios for defined sets of propositions. The MaSTR™ software is a fully continuous probabilistic system that considers a wide range of STR profile data to provide likelihood ratios on DNA mixtures. Mixtures with two to five contributors and a range of component ratios and allele peak heights were created to test the validity of MaSTR™ with data similar to real casework. Over 280 different mixed DNA profiles were used to perform more than 2600 analyses using different sets of propositions and numbers of contributors. The results of the analyses demonstrated that MaSTR™ provided accurate and precise statistical data on DNA mixtures with up to five contributors, including minor contributors with stochastic amplification effects. Tests for both Type I and Type II errors were performed. The findings in this study support that MaSTR™ is a robust tool that meets the current standards for probabilistic genotyping.

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Section: Discussionmentioning

confidence: 99%

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

Adamowicz

Rambo

Clarke

2022

Genes

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show abstract

“…In the past three years, validation studies have been performed with a number of probabilistic genotyping software (PGS) systems including EuroForMix [ 278 ], DNAStatistX [ 279 , 280 ], TrueAllele [ 281 ], STRmix [ 282 ], Statistefix [ 283 ], Mixture Solution [ 284 ], Kongoh [ 285 ], and MaSTR [ 286 , 287 ]. Developers of EuroForMix, DNAStatistX, and STRmix provided a review of these systems [ 288 ].…”

Section: Advancements In Current Practicesmentioning

confidence: 99%

Recent advances in forensic biology and forensic DNA typing: INTERPOL review 2019–2022

Butler

2023

Forensic Science International: Synergy

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Future Directions of Forensic DNA Analysis

Dash,

Elkins,

Al-Snan

2023

Advancements in Forensic DNA Analysis

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MaSTR™: an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA

Cited by 7 publications

References 31 publications

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

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

Recent advances in forensic biology and forensic DNA typing: INTERPOL review 2019–2022

Future Directions of Forensic DNA Analysis

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