Details

Autor(en) / Beteiligte

• Hölzl-Müller, Petra
• Bodner, Martin
• Berger, Burkhard
• Parson, Walther

Titel

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

Ist Teil von

• International journal of legal medicine, 2021-11, Vol.135 (6), p.2235-2246

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2021

Link zum Volltext

Quelle

SpringerLink (Online service)

Beschreibungen/Notizen

• 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.