Literature DB >> 35092470

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

Mitchell M Holland1, Teresa M Tiedge2, Abigail J Bender3, Sidney A Gaston-Sanchez4,5, Jennifer A McElhoe6.   

Abstract

The recently developed probabilistic genotyping software package MaSTR™ (SoftGenetics LLC) was used to develop statistical weight estimates for a variety of two-person STR mixture profiles with differentially degraded sources of DNA. A total of 864 analyses, on 144 two-person profiles, were performed. Mixture ratios ranged from 1:1 to 1:10, including pristine sources of DNA and various combinations of artificially degraded DNA (average size fragments of 150 or 250 bps). Quantities of DNA template were varied (0.1 to 0.5 ngs of total input) and MaSTR™ analysis was performed with eight chains of 10,000 or 40,000 iterations, with or without a conditioning profile to generate likelihood ratio (LR) values. Overall, the software performed as expected. The resulting log(LR) values for pristine mixture profiles were typically greater than 1030. Lower-quality mixture data associated with sources of DNA at ~ 0.05 ngs for each contributor resulted in peak imbalance and allelic dropout which reduced the weight in support of a contributor. This was exacerbated by higher levels of degradation, with some instances resulting in log(LR) values in support of an exclusion. These studies provide additional support for the use of probabilistic genotyping software solutions in forensic investigations, addressing concerns raised by the President's Council of Advisors on Science and Technology (PCAST).
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  DNA degradation; Forensic science; Probabilistic genotyping; Short tandem repeat

Mesh:

Substances:

Year:  2022        PMID: 35092470     DOI: 10.1007/s00414-021-02771-0

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


  24 in total

1.  EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts.

Authors:  Øyvind Bleka; Geir Storvik; Peter Gill
Journal:  Forensic Sci Int Genet       Date:  2015-11-30       Impact factor: 4.882

2.  Interpreting a major component from a mixed DNA profile with an unknown number of minor contributors.

Authors:  Todd Bille; Steven Weitz; John S Buckleton; Jo-Anne Bright
Journal:  Forensic Sci Int Genet       Date:  2019-02-22       Impact factor: 4.882

3.  DNAxs/DNAStatistX: Development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles.

Authors:  Corina C G Benschop; Jerry Hoogenboom; Pauline Hovers; Martin Slagter; Dennis Kruise; Raymond Parag; Kristy Steensma; Klaas Slooten; Jord H A Nagel; Patrick Dieltjes; Vincent van Marion; Heidi van Paassen; Jeroen de Jong; Christophe Creeten; Titia Sijen; Alexander L J Kneppers
Journal:  Forensic Sci Int Genet       Date:  2019-06-21       Impact factor: 4.882

4.  STRmix put to the test: 300 000 non-contributor profiles compared to four-contributor DNA mixtures and the impact of replicates.

Authors:  Sarah Noël; Josée Noël; Dominic Granger; Jean-François Lefebvre; Diane Séguin
Journal:  Forensic Sci Int Genet       Date:  2019-03-21       Impact factor: 4.882

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

Authors:  Tamyra R Moretti; Rebecca S Just; Susannah C Kehl; Leah E Willis; John S Buckleton; Jo-Anne Bright; Duncan A Taylor; Anthony J Onorato
Journal:  Forensic Sci Int Genet       Date:  2017-04-05       Impact factor: 4.882

Review 6.  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

7.  STRmix™ collaborative exercise on DNA mixture interpretation.

Authors:  Jo-Anne Bright; Kevin Cheng; Zane Kerr; Catherine McGovern; Hannah Kelly; Tamyra R Moretti; Michael A Smith; Frederick R Bieber; Bruce Budowle; Michael D Coble; Rashed Alghafri; Paul Stafford Allen; Amy Barber; Vickie Beamer; Christina Buettner; Melanie Russell; Christian Gehrig; Tacha Hicks; Jessica Charak; Kate Cheong-Wing; Anne Ciecko; Christie T Davis; Michael Donley; Natalie Pedersen; Bill Gartside; Dominic Granger; MaryMargaret Greer-Ritzheimer; Erick Reisinger; Jarrah Kennedy; Erin Grammer; Marla Kaplan; David Hansen; Hans J Larsen; Alanna Laureano; Christina Li; Eugene Lien; Emilia Lindberg; Ciara Kelly; Ben Mallinder; Simon Malsom; Alyse Yacovone-Margetts; Andrew McWhorter; Sapana M Prajapati; Tamar Powell; Gary Shutler; Kate Stevenson; April R Stonehouse; Lindsey Smith; Julie Murakami; Eric Halsing; Darren Wright; Leigh Clark; Duncan A Taylor; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2019-01-15       Impact factor: 4.882

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

Authors:  John S Buckleton; Jo-Anne Bright; Simone Gittelson; Tamyra R Moretti; Anthony J Onorato; Frederick R Bieber; Bruce Budowle; Duncan A Taylor
Journal:  J Forensic Sci       Date:  2018-08-21       Impact factor: 1.832

9.  Validation of probabilistic genotyping software for use in forensic DNA casework: Definitions and illustrations.

Authors:  Hinda Haned; Peter Gill; Kirk Lohmueller; Keith Inman; Norah Rudin
Journal:  Sci Justice       Date:  2015-12-29       Impact factor: 2.124

10.  Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles.

Authors:  Jo-Anne Bright; Duncan Taylor; Catherine McGovern; Stuart Cooper; Laura Russell; Damien Abarno; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2016-05-12       Impact factor: 4.882

View more
  1 in total

1.  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

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.