An Investigation into Compound Likelihood Ratios for Forensic DNA Mixtures

Author:

Wivell Richard1,Kelly Hannah1,Kokoszka Jason2,Daniels Jace2,Dickson Laura3,Buckleton John14,Bright Jo-Anne1

Affiliation:

1. Institute of Environmental Science and Research Limited, Private Bag 92012, Auckland, New Zealand

2. Alabama Department of Forensic Sciences, 1 Forensic Drive, Mobile, AL 36617, USA

3. Washoe County Sherriff’s Office, Forensic Science Division, 911 Parr Blvd, Reno, NV 89512, USA

4. Department of Statistics, University of Auckland, Private Bag 92019, Auckland, New Zealand

Abstract

Simple propositions are defined as those with one POI and the remaining contributors unknown under Hp and all unknown contributors under Ha. Conditional propositions are defined as those with one POI, one or more assumed contributors, and the remaining contributors (if any) unknown under Hp, and the assumed contributor(s) and N unknown contributors under Ha. In this study, compound propositions are those with multiple POI and the remaining contributors unknown under Hp and all unknown contributors under Ha. We study the performance of these three proposition sets on thirty-two samples (two laboratories × four NOCs × four mixtures) consisting of four mixtures, each with N = 2, N = 3, N = 4, and N = 5 contributors using the probabilistic genotyping software, STRmix™. In this study, it was found that conditional propositions have a much higher ability to differentiate true from false donors than simple propositions. Compound propositions can misstate the weight of evidence given the propositions strongly in either direction.

Funder

US National Institute of Justice

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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