Bayesian Analysis of DNA Profiling Data in Forensic Identification Applications

Lindsey A. Foreman, Adrian F. M. Smith and Ian W. Evett

Journal of the Royal Statistical Society Series A, 1997, vol. 160, issue 3, 429-459

Abstract: The utilization of DNA evidence in cases of forensic identification has become widespread over the last few years. The strength of this evidence against an individual standing trial is typically presented in court in the form of a likelihood ratio (LR) or its reciprocal (the profile match probability). The value of this LR will vary according to the nature of the genetic relationship between the accused and other possible perpetrators of the crime in the population. This paper develops ideas and methods for analysing data and evaluating LRs when the evidence is based on short tandem repeat profiles, with special emphasis placed on a Bayesian approach. These are then applied in the context of a particular quadruplex profiling system used for routine case‐work by the UK Forensic Science Service.

Date: 1997
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