Literature DB >> 23082963

Calculating the weight of evidence in low-template forensic DNA casework.

Kirk E Lohmueller1, Norah Rudin.   

Abstract

Interpreting and assessing the weight of low-template DNA evidence presents a formidable challenge in forensic casework. This report describes a case in which a similar mixed DNA profile was obtained from four different bloodstains. The defense proposed that the low-level minor profile came from an alternate suspect, the defendant's mistress. The strength of the evidence was assessed using a probabilistic approach that employed likelihood ratios incorporating the probability of allelic drop-out. Logistic regression was used to model the probability of drop-out using empirical validation data from the government laboratory. The DNA profile obtained from the bloodstain described in this report is at least 47 billion times more likely if, in addition to the victim, the alternate suspect was the minor contributor, than if another unrelated individual was the minor contributor. This case illustrates the utility of the probabilistic approach for interpreting complex low-template DNA profiles.
© 2012 American Academy of Forensic Sciences.

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Year:  2012        PMID: 23082963      PMCID: PMC6449098          DOI: 10.1111/1556-4029.12017

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


  4 in total

1.  Evaluation of mixed-source, low-template DNA profiles in forensic science.

Authors:  David J Balding
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

2.  The factor of 10 in forensic DNA match probabilities.

Authors:  Simone Gittelson; Tamyra R Moretti; Anthony J Onorato; Bruce Budowle; Bruce S Weir; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2017-02-16       Impact factor: 4.882

3.  Development and validation of open-source software for DNA mixture interpretation based on a quantitative continuous model.

Authors:  Sho Manabe; Chie Morimoto; Yuya Hamano; Shuntaro Fujimoto; Keiji Tamaki
Journal:  PLoS One       Date:  2017-11-17       Impact factor: 3.240

4.  Lab Retriever: a software tool for calculating likelihood ratios incorporating a probability of drop-out for forensic DNA profiles.

Authors:  Keith Inman; Norah Rudin; Ken Cheng; Chris Robinson; Adam Kirschner; Luke Inman-Semerau; Kirk E Lohmueller
Journal:  BMC Bioinformatics       Date:  2015-09-18       Impact factor: 3.169

  4 in total

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