Literature DB >> 26258391

Establishing the Limits of TrueAllele® Casework: A Validation Study.

Susan A Greenspoon1, Lisa Schiermeier-Wood1, Brad C Jenkins1.   

Abstract

The limits of the expert system, TrueAllele® Casework (TA), were explored using challenging mock casework profiles that included 17 single-source and 18 two-, 15 three- and 7 four-person DNA mixtures. The sensitivity (ability to detect a minor contributor) of the TA analysis process was examined by challenging the system with mixture DNA samples that exhibited allelic and locus dropout and other stochastic effects. The specificity (ability to exclude nondonors) was rigorously tested by interrogating TA derived genotypes with 100 nondonor profiles. The accuracy with which TA estimated mixture weights of contributors to the two-person mixtures was examined. Finally, first-degree relatives of donors were used to assess the ability of the system to exclude close relatives. TA demonstrated great accuracy, sensitivity, and specificity. TA correctly assigned mixture weights and excluded nearly all first-degree relatives. This study demonstrates the analysis power of the TrueAllele® Casework system.
© 2015 American Academy of Forensic Sciences.

Entities:  

Keywords:  DNA mixtures; DNA typing; expert system; forensic science; likelihood ratio; probabilistic modeling

Mesh:

Substances:

Year:  2015        PMID: 26258391     DOI: 10.1111/1556-4029.12810

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  5 in total

1.  Simplification of complex DNA profiles using front end cell separation and probabilistic modeling.

Authors:  Nancy A Stokes; Cristina E Stanciu; Emily R Brocato; Christopher J Ehrhardt; Susan A Greenspoon
Journal:  Forensic Sci Int Genet       Date:  2018-07-17       Impact factor: 4.882

2.  Use of hormone-specific antibody probes for differential labeling of contributor cell populations in trace DNA mixtures.

Authors:  Jennifer M Miller; Christin Lee; Sarah Ingram; Vamsi K Yadavalli; Susan A Greenspoon; Christopher J Ehrhardt
Journal:  Int J Legal Med       Date:  2022-09-09       Impact factor: 2.791

3.  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

4.  TrueAllele casework on Virginia DNA mixture evidence: computer and manual interpretation in 72 reported criminal cases.

Authors:  Mark W Perlin; Kiersten Dormer; Jennifer Hornyak; Lisa Schiermeier-Wood; Susan Greenspoon
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

5.  Inclusion probability for DNA mixtures is a subjective one-sided match statistic unrelated to identification information.

Authors:  Mark William Perlin
Journal:  J Pathol Inform       Date:  2015-10-28
  5 in total

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