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      Validation of Probabilistic Genotyping Software for Single Cell STR Analysis

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          Abstract

          Probabilistic genotyping (PG) and its associated software has greatly aided in forensic DNA mixture analysis, with it primarily being applied to mixed DNA profiles obtained from bulk cellular extracts. However, these software applications do not always result in probative information about the identity of all donors to said mixtures/extracts. This is primarily due to mixture complexity caused by overlapping alleles and the presence of artifacts and minor donors. One way of reducing mixture complexity is to perform direct single cell subsampling of the bulk mixture prior to genotyping and interpretation. The analysis of low template DNA samples, including from single or few cells, has also benefited from the application of PG methods. With the application of PG, multiple cell subsamples originating from the same donor can be combined into a single analysis using the software replicate analysis function often resulting in full DNA profile donor information. In the present work, we demonstrate how two PG software systems, STRmixTM and EuroForMix, were successfully validated for single or few cell applications.

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          Most cited references34

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          DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands.

          In DNA profile analysis, uncertainty arises due to a number of factors such as sampling error, single bands and correlations within and between loci. One of the most important of these factors is kinship: criminal and innocent suspect may share one or more bands through identity by descent from a common ancestor. Ignoring this uncertainty is consistently unfair to innocent suspects. The effect is usually small, but may be important in some cases. The report of the US National Research Committee proposed a complicated, ad-hoc and overly-conservative method of dealing with some of these problems. We propose an alternative approach which addresses directly the effect of kinship. Whilst remaining conservative, it is simple, logically coherent and makes efficient use of the data.
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            DNA commission of the International Society of Forensic Genetics: Recommendations on the interpretation of mixtures.

            The DNA commission of the International Society of Forensic Genetics (ISFG) was convened at the 21st congress of the International Society for Forensic Genetics held between 13 and 17 September in the Azores, Portugal. The purpose of the group was to agree on guidelines to encourage best practice that can be universally applied to assist with mixture interpretation. In addition the commission was tasked to provide guidance on low copy number (LCN) reporting. Our discussions have highlighted a significant need for continuing education and research into this area. We have attempted to present a consensus from experts but to be practical we do not claim to have conveyed a clear vision in every respect in this difficult subject. For this reason, we propose to allow a period of time for feedback and reflection by the scientific community. Then the DNA commission will meet again to consider further recommendations.
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              Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles

              In 2015 the Scientific Working Group on DNA Analysis Methods published the SWGDAM Guidelines for the Validation of Probabilistic Genotyping Systems [1]. STRmix™ is probabilistic genotyping software that employs a continuous model of DNA profile interpretation. This paper describes the developmental validation activities of STRmix™ following the SWGDAM guidelines. It addresses the underlying scientific principles, and the performance of the models with respect to sensitivity, specificity and precision and results of interpretation of casework type samples. This work demonstrates that STRmix™ is suitable for its intended use for the interpretation of single source and mixed DNA profiles.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                GENEG9
                Genes
                Genes
                MDPI AG
                2073-4425
                March 2023
                March 08 2023
                : 14
                : 3
                : 674
                Article
                10.3390/genes14030674
                10048617
                36980945
                042d9347-bf26-46a8-ba4b-44e9fdcf0237
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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