Cargando…

Validation of Probabilistic Genotyping Software for Single Cell STR Analysis

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 ident...

Descripción completa

Detalles Bibliográficos
Autores principales: Huffman, Kaitlin, Ballantyne, Jack
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048617/
https://www.ncbi.nlm.nih.gov/pubmed/36980945
http://dx.doi.org/10.3390/genes14030674
_version_ 1785014241115242496
author Huffman, Kaitlin
Ballantyne, Jack
author_facet Huffman, Kaitlin
Ballantyne, Jack
author_sort Huffman, Kaitlin
collection PubMed
description 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, STRmix(TM) and EuroForMix, were successfully validated for single or few cell applications.
format Online
Article
Text
id pubmed-10048617
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100486172023-03-29 Validation of Probabilistic Genotyping Software for Single Cell STR Analysis Huffman, Kaitlin Ballantyne, Jack Genes (Basel) Article 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, STRmix(TM) and EuroForMix, were successfully validated for single or few cell applications. MDPI 2023-03-08 /pmc/articles/PMC10048617/ /pubmed/36980945 http://dx.doi.org/10.3390/genes14030674 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huffman, Kaitlin
Ballantyne, Jack
Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title_full Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title_fullStr Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title_full_unstemmed Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title_short Validation of Probabilistic Genotyping Software for Single Cell STR Analysis
title_sort validation of probabilistic genotyping software for single cell str analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048617/
https://www.ncbi.nlm.nih.gov/pubmed/36980945
http://dx.doi.org/10.3390/genes14030674
work_keys_str_mv AT huffmankaitlin validationofprobabilisticgenotypingsoftwareforsinglecellstranalysis
AT ballantynejack validationofprobabilisticgenotypingsoftwareforsinglecellstranalysis