Literature DB >> 11314992

Likelihood ratios for evaluating DNA evidence when the suspect is found through a database search.

A Stockmarr1.   

Abstract

A crime has been committed, and a DNA profile of the perpetrator is obtained from the crime scene. A suspect with a matching profile is found. The problem of evaluating this DNA evidence in a forensic context, when the suspect is found through a database search, is analysed through a likelihood approach. The recommendations of the National Research Council of the U.S. are derived in this setting as the proper way of evaluating the evidence when finiteness of the population of possible perpetrators is not taken into account. When a finite population of possible perpetrators may be assumed, it is possible to take account of the sampling process that resulted in the actual database, so one can deal with the problem where a large proportion of the possible perpetrators belongs to the database in question. It is shown that the last approach does not in general result in a greater weight being assigned to the evidence, though it does when a sufficiently large amount of the possible perpetrators are in the database. The value of the likelihood ratio corresponding to the probable cause setting constitutes an upper bound for this weight, and the upper bound is only attained when all but one of the possible perpetrators are in the database.

Mesh:

Substances:

Year:  1999        PMID: 11314992     DOI: 10.1111/j.0006-341x.1999.00671.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  Identifying contributors of two-person DNA mixtures by familial database search.

Authors:  Yuk-Ka Chung; Wing K Fung
Journal:  Int J Legal Med       Date:  2012-01-22       Impact factor: 2.686

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.  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
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.