When Evaluating DNA Evidence within a Likelihood Ratio Framework, should the Propositions be Exhaustive?

• NCJ Number: 255685
• Journal: Forensic Science International: Genetics Volume: 50 Issue: 102406 Dated: January 2021
• Author(s): John Buckleton; Duncan Taylor; Jo-Anne Bright; Tacha Hicks; James Curran
• Date Published: October 2020
• Length: 11 pages
• Grant Number(s): 2017-DN-BX-0136; 2020-DQ-BX-0022
• Agencies: NIJ-Sponsored
• Publication Type: Program/Project Evaluation; Research (Applied/Empirical)
• Award: Population Genetic Issues for Forensic DNA Profiles; Population Genetic Issues for Forensic DNA Profiles

Annotation

This article reports on a project to develop a rational approach to forming propositions when little information is available from the outset, as this often happens in casework.

Abstract

If propositions used when evaluating evidence are not exhaustive, then there is a theoretical risk that a likelihood ratio (LR) greater than one may be associated with a proposition in the numerator that would in fact have a lower posterior probability after consideration of the evidence. Ideally, all propositions should be considered, however, with multiple propositions, some terms will be larger than others, and for simplification, very small terms can be neglected without changing the order of magnitude of the value of the evidence. The current analysis shows that mathematically a contributor DNA can be assumed to be present under both prosecution and alternative propositions if there is a reasonable prior probability of their DNA being present and their inclusion is supported by the profile. This is because the terms associated to these sub-propositions will dominate the LR, for example, in the absence of specific information, when considering two persons of interest as potential contributors to a mixed DNA profile, the authors suggest the assumption of one when examining the presence of the other, after checking that both collectively explain the profile well. This represents more meaningful propositions and enables better discrimination. Slooten and Caliebe have shown that the overall LR is the weighted average of LRs with the same number of contributors (NoC) under both propositions. The weights involve both an assessment of the probability of the crime scene DNA profile and the probability of this NoC given the background information. 43 references (publisher abstract modified)