A fully continuous system of DNA profile evidence evaluation that can utilise STR profile data produced under different conditions within a single analysis
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Date
2017-09-08
Authors
Taylor, Duncan A
Bright, Jo-Anne
Kelly, Hannah
Lin, Meng-Han
Buckleton, John S
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Rights
© 2017 Elsevier B.V.
Rights Holder
Elsevier B.V.
Abstract
The introduction of probabilistic DNA interpretation systems has made it possible to evaluate many profiles that previously (under a manual interpretation system) were not. These probabilistic systems have been around for a number of years and it is becoming more common that their use within a laboratory has spanned at least one technology change. This may be a change in laboratory hardware, the DNA profiling kit used, or the manner in which the profile is generated. Up until this point, when replicates DNA profiles are generated, that span a technological change, the ability to utilise all the information in all replicates has been limited or non-existent. In this work we explain and derive the models required to evaluate (what we term) multi-kit analysis problems. We demonstrate the use of the multi-kit feature on a number of scenarios where such an analysis would be desired within a laboratory. Allowing the combination of profiling data that spans a technological change will further increase the amount of DNA profile information produced in a laboratory that can be evaluated.
Description
© 2017 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords
Multiple DNA profiling kits, Continuous DNA interpretation, TRmix; modelling, DNA mixtures
Citation
Taylor, D., Bright, J.-A., Kelly, H., Lin, M.-H., & Buckleton, J. (2017). A fully continuous system of DNA profile evidence evaluation that can utilise STR profile data produced under different conditions within a single analysis. Forensic Science International: Genetics, 31, 149–154. https://doi.org/10.1016/j.fsigen.2017.09.002