When evaluating DNA evidence within a likelihood ratio framework, should the propositions be exhaustive?

We seek to develop a rational approach to forming propositions when little information is available from the outset, as this often happens in casework. If propositions used when evaluating evidence are not exhaustive (in the context of the case), then there is a theoretical risk that an LR greater than one may be associated with a proposition in the numerator that - if all meaningful propositions had been considered - 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 (i.e. LR). Our analysis shows that mathematically a contributor's DNA can be assumed to be present under both prosecution and alternative propositions (Hp and Ha) 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 our LR. For example, in the absence of specific information, when considering two persons of interest (POI) as potential contributors to a mixed DNA profile we 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 allows 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.

[1]  W R Mayr,et al.  DNA commission of the International Society of Forensic Genetics: Recommendations on the interpretation of mixtures. , 2006, Forensic science international.

[2]  William C. Thompson,et al.  Using graphical probability analysis (Bayes Nets) to evaluate a conditional DNA inclusion , 2011 .

[3]  J M Curran,et al.  Interpreting DNA mixtures in structured populations. , 1999, Journal of forensic sciences.

[4]  I W Evett What is the probability that this blood came from that person? A meaningful question? , 1983, Journal - Forensic Science Society.

[5]  J Buckleton,et al.  An illustration of the effect of various sources of uncertainty on DNA likelihood ratio calculations. , 2014, Forensic science international. Genetics.

[6]  Colin Aitken,et al.  On the use of the likelihood ratio for forensic evaluation: response to Fenton et al. , 2014, Science & justice : journal of the Forensic Science Society.

[7]  Bruce Budowle,et al.  NIST interlaboratory studies involving DNA mixtures (MIX13): A modern analysis. , 2018, Forensic science international. Genetics.

[8]  I. Evett,et al.  Interpreting DNA Evidence: Statistical Genetics for Forensic Scientists , 1998 .

[9]  I. Evett,et al.  More on the hierarchy of propositions: exploring the distinction between explanations and propositions. , 2000, Science & justice : journal of the Forensic Science Society.

[10]  John M Butler,et al.  NIST interlaboratory studies involving DNA mixtures (MIX05 and MIX13): Variation observed and lessons learned. , 2018, Forensic science international. Genetics.

[11]  James Curran,et al.  Searching mixed DNA profiles directly against profile databases. , 2014, Forensic science international. Genetics.

[12]  Katarina Domijan,et al.  The Persistence of Sperm and the Development of Time Since Intercourse (TSI) Guidelines in Sexual Assault Cases at Forensic Science Ireland, Dublin, Ireland , 2017, Journal of forensic sciences.

[13]  I. Evett,et al.  A hierarchy of propositions: deciding which level to address in casework , 1998 .

[14]  J A Lambert,et al.  A model for case assessment and interpretation. , 1998, Science & justice : journal of the Forensic Science Society.

[15]  K Slooten,et al.  Contributors are a nuisance (parameter) for DNA mixture evidence evaluation. , 2018, Forensic science international. Genetics.

[16]  Ian W. Evett,et al.  On meaningful questions: a two-trace transfer problem , 1987 .

[17]  Ian W. Evett,et al.  Some aspects of the Bayesian approach to evidence evaluation , 1989 .

[18]  Simone Gittelson,et al.  A Practical Guide for the Formulation of Propositions in the Bayesian Approach to DNA Evidence Interpretation in an Adversarial Environment , 2016, Journal of forensic sciences.

[19]  J A Lambert,et al.  The impact of the principles of evidence interpretation on the structure and content of statements. , 2000, Science & justice : journal of the Forensic Science Society.

[20]  Jo-Anne Bright,et al.  The effect of the uncertainty in the number of contributors to mixed DNA profiles on profile interpretation. , 2014, Forensic science international. Genetics.

[21]  Jo-Anne Bright,et al.  The effect of varying the number of contributors in the prosecution and alternate propositions. , 2019, Forensic science international. Genetics.

[22]  D. Balding Weight-of-Evidence for Forensic DNA Profiles , 2005 .

[23]  Jo-Anne Bright,et al.  Internal validation of STRmix™ for the interpretation of single source and mixed DNA profiles. , 2017, Forensic science international. Genetics.

[24]  L. J. Savage,et al.  Probability and the weighing of evidence , 1951 .

[25]  R. Royall Statistical Evidence: A Likelihood Paradigm , 1997 .

[26]  John Buckleton,et al.  Relatedness and DNA: are we taking it seriously enough? , 2005, Forensic science international.

[27]  Bas Kokshoorn,et al.  Activity level DNA evidence evaluation: On propositions addressing the actor or the activity. , 2017, Forensic science international.

[28]  Samuel Lindsey,et al.  The Random Match Probability (RMP) in DNA Evidence: Irrelevant and Prejudicial? , 1995 .

[29]  B. Weir,et al.  Interpreting DNA mixtures. , 1997, Journal of forensic sciences.

[30]  Amke Caliebe Two or three contributors of DNA mixtures? – Some practical considerations , 2019 .

[31]  A. Biedermann,et al.  The importance of distinguishing information from evidence/observations when formulating propositions. , 2015, Science & justice : journal of the Forensic Science Society.

[32]  Peter Gill,et al.  DNA commission of the International society for forensic genetics: Assessing the value of forensic biological evidence - Guidelines highlighting the importance of propositions: Part I: evaluation of DNA profiling comparisons given (sub-) source propositions. , 2018, Forensic science international. Genetics.

[33]  Duncan Taylor,et al.  Helping formulate propositions in forensic DNA analysis. , 2014, Science & justice : journal of the Forensic Science Society.

[34]  Colin Aitken,et al.  Dismissal of the illusion of uncertainty in the assessment of a likelihood ratio , 2016 .