Literature DB >> 8754570

Evaluating DNA profile evidence when the suspect is identified through a database search.

D J Balding1, P Donnelly.   

Abstract

The paper is concerned with the strength of DNA evidence when a suspect is identified via a search through a database of the DNA profiles of known individuals. Consideration of the appropriate likelihood ratio shows that in this setting the DNA evidence is (slightly) stronger than when a suspect is identified by other means, subsequently profiled, and found to match. The recommendation of the 1992 report of the US National Research Council that DNA evidence that is used to identify the suspect should not be presented at trial thus seems unnecessarily conservative. The widely held view that DNA evidence is weaker when it results from a database search seems to be based on a rationale that leads to absurd conclusions in some examples. Moreover, this view is inconsistent with the principle, which enjoys substantial support, that evidential weight should be measured by likelihood ratios. The strength of DNA evidence is shown also to be slightly increased for other forms of search procedure. While the DNA evidence is stronger after a database search, the overall case against the suspect may not be, and the problems of incorporating the DNA with the non-DNA evidence can be particularly important in such cases.

Mesh:

Year:  1996        PMID: 8754570

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


  4 in total

1.  A response to "Likelihood ratio as weight of evidence: A closer look" by Lund and Iyer.

Authors:  Simone Gittelson; Charles E H Berger; Graham Jackson; Ian W Evett; Christophe Champod; Bernard Robertson; James M Curran; Duncan Taylor; Bruce S Weir; Michael D Coble; John S Buckleton
Journal:  Forensic Sci Int       Date:  2018-05-22       Impact factor: 2.395

2.  Average probability that a "cold hit" in a DNA database search results in an erroneous attribution.

Authors:  Yun S Song; Anand Patil; Erin E Murphy; Montgomery Slatkin
Journal:  J Forensic Sci       Date:  2008-11-21       Impact factor: 1.832

3.  Bayes and the Law.

Authors:  Norman Fenton; Martin Neil; Daniel Berger
Journal:  Annu Rev Stat Appl       Date:  2016-03-09       Impact factor: 5.810

4.  A Bayesian network approach to the database search problem in criminal proceedings.

Authors:  Alex Biedermann; Joëlle Vuille; Franco Taroni
Journal:  Investig Genet       Date:  2012-08-01
  4 in total

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