Literature DB >> 11714147

Linear mixture analysis: a mathematical approach to resolving mixed DNA samples.

M W Perlin1, B Szabady.   

Abstract

With the advent of PCR-based STR typing systems, mixed samples can be separated into their individual DNA profiles. Quantitative peak information can help in this analysis. However, despite such advances, forensic mixture analysis still remains a laborious art, with the high cost and effort often precluding timely reporting. We introduce here a new automated approach to resolving forensic DNA mixtures. Our linear mixture analysis (LMA) is a straightforward mathematical approach that can integrate all the quantitative PCR data into a single rapid computation. LMA has application to diverse mixture problems. As demonstrated here on laboratory STR data, LMA can assess the quality and utility of its solutions. Such rapid and robust methods for computer-based analysis of DNA mixtures may help in reducing crime.

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Year:  2001        PMID: 11714147

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


  10 in total

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2.  Four model variants within a continuous forensic DNA mixture interpretation framework: Effects on evidential inference and reporting.

Authors:  Harish Swaminathan; Muhammad O Qureshi; Catherine M Grgicak; Ken Duffy; Desmond S Lun
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3.  An information gap in DNA evidence interpretation.

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Journal:  PLoS One       Date:  2009-12-16       Impact factor: 3.240

4.  DNA commission of the International Society of Forensic Genetics: Recommendations on the evaluation of STR typing results that may include drop-out and/or drop-in using probabilistic methods.

Authors:  P Gill; L Gusmão; H Haned; W R Mayr; N Morling; W Parson; L Prieto; M Prinz; H Schneider; P M Schneider; B S Weir
Journal:  Forensic Sci Int Genet       Date:  2012-08-03       Impact factor: 4.882

5.  Estimating the number of contributors to two-, three-, and four-person mixtures containing DNA in high template and low template amounts.

Authors:  Jaheida Perez; Adele A Mitchell; Nubia Ducasse; Jeannie Tamariz; Theresa Caragine
Journal:  Croat Med J       Date:  2011-06       Impact factor: 1.351

6.  A graphical simulation model of the entire DNA process associated with the analysis of short tandem repeat loci.

Authors:  Peter Gill; James Curran; Keith Elliot
Journal:  Nucleic Acids Res       Date:  2005-01-28       Impact factor: 16.971

7.  Efficient construction of match strength distributions for uncertain multi-locus genotypes.

Authors:  Mark W Perlin
Journal:  Heliyon       Date:  2018-10-08

8.  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

9.  New York State TrueAllele ® casework validation study.

Authors:  Mark W Perlin; Jamie L Belrose; Barry W Duceman
Journal:  J Forensic Sci       Date:  2013-07-18       Impact factor: 1.832

10.  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
  10 in total

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