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Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example
Here, we present the results from a population study that evaluated the performance of massively parallel sequencing (MPS) of short tandem repeats (STRs) with a particular focus on DNA intelligence databasing purposes. To meet this objective, 247 randomly selected reference samples, earlier being pr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523457/ https://www.ncbi.nlm.nih.gov/pubmed/34436655 http://dx.doi.org/10.1007/s00414-021-02685-x |
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author | Hölzl-Müller, Petra Bodner, Martin Berger, Burkhard Parson, Walther |
author_facet | Hölzl-Müller, Petra Bodner, Martin Berger, Burkhard Parson, Walther |
author_sort | Hölzl-Müller, Petra |
collection | PubMed |
description | Here, we present the results from a population study that evaluated the performance of massively parallel sequencing (MPS) of short tandem repeats (STRs) with a particular focus on DNA intelligence databasing purposes. To meet this objective, 247 randomly selected reference samples, earlier being processed with conventional capillary electrophoretic (CE) STR sizing from the Austrian National DNA Database, were reanalyzed with the PowerSeq 46Y kit (Promega). This sample set provides MPS-based population data valid for the Austrian population to increase the body of sequence-based STR variation. The study addressed forensically relevant parameters, such as concordance and backward compatibility to extant amplicon-based genotypes, sequence-based stutter ratios, and relative marker performance. Of the 22 autosomal STR loci included in the PowerSeq 46GY panel, 99.98% of the allele calls were concordant between MPS and CE. Moreover, 25 new sequence variants from 15 markers were found in the Austrian dataset that are yet undescribed in the STRSeq online catalogue and were submitted for inclusion. Despite the high degree of concordance between MPS and CE derived genotypes, our results demonstrate the need for a harmonized allele nomenclature system that is equally applicable to both technologies, but at the same time can take advantage of the increased information content of MPS. This appears to be particularly important with regard to database applications in order to prevent false exclusions due to varying allele naming based on different analysis platforms and ensures backward compatibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00414-021-02685-x. |
format | Online Article Text |
id | pubmed-8523457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85234572021-10-22 Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example Hölzl-Müller, Petra Bodner, Martin Berger, Burkhard Parson, Walther Int J Legal Med Original Article Here, we present the results from a population study that evaluated the performance of massively parallel sequencing (MPS) of short tandem repeats (STRs) with a particular focus on DNA intelligence databasing purposes. To meet this objective, 247 randomly selected reference samples, earlier being processed with conventional capillary electrophoretic (CE) STR sizing from the Austrian National DNA Database, were reanalyzed with the PowerSeq 46Y kit (Promega). This sample set provides MPS-based population data valid for the Austrian population to increase the body of sequence-based STR variation. The study addressed forensically relevant parameters, such as concordance and backward compatibility to extant amplicon-based genotypes, sequence-based stutter ratios, and relative marker performance. Of the 22 autosomal STR loci included in the PowerSeq 46GY panel, 99.98% of the allele calls were concordant between MPS and CE. Moreover, 25 new sequence variants from 15 markers were found in the Austrian dataset that are yet undescribed in the STRSeq online catalogue and were submitted for inclusion. Despite the high degree of concordance between MPS and CE derived genotypes, our results demonstrate the need for a harmonized allele nomenclature system that is equally applicable to both technologies, but at the same time can take advantage of the increased information content of MPS. This appears to be particularly important with regard to database applications in order to prevent false exclusions due to varying allele naming based on different analysis platforms and ensures backward compatibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00414-021-02685-x. Springer Berlin Heidelberg 2021-08-26 2021 /pmc/articles/PMC8523457/ /pubmed/34436655 http://dx.doi.org/10.1007/s00414-021-02685-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Hölzl-Müller, Petra Bodner, Martin Berger, Burkhard Parson, Walther Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title | Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title_full | Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title_fullStr | Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title_full_unstemmed | Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title_short | Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example |
title_sort | exploring str sequencing for forensic dna intelligence databasing using the austrian national dna database as an example |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523457/ https://www.ncbi.nlm.nih.gov/pubmed/34436655 http://dx.doi.org/10.1007/s00414-021-02685-x |
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