4.4 Article

Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example

Journal

INTERNATIONAL JOURNAL OF LEGAL MEDICINE
Volume 135, Issue 6, Pages 2235-2246

Publisher

SPRINGER
DOI: 10.1007/s00414-021-02685-x

Keywords

Massively parallel sequencing; Sequence-based population data; Autosomal short tandem repeats; Allele frequencies; Reference samples

Funding

  1. European Commission [HOME/2014/ISFP/AG/LAWX/4000007135]
  2. (Internal Security Funding Police programme of the European Commission-Directorate General Justice and Home Affairs)

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This study evaluated the performance of MPS for analyzing STR samples and provided MPS-based STR data valid for the Austrian population. It discussed forensically relevant parameters, such as concordance and marker performance, and identified new sequence variants in the Austrian dataset.
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.

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