Cost-Effective Next Generation Sequencing-Based STR Typing with Improved Analysis of Minor, Degraded and Inhibitor-Containing DNA Samples

Int J Mol Sci. 2023 Feb 8;24(4):3382. doi: 10.3390/ijms24043382.

Abstract

Forensic DNA profiles are established by multiplex PCR amplification of a set of highly variable short tandem repeat (STR) loci followed by capillary electrophoresis (CE) as a means to assign alleles to PCR products of differential length. Recently, CE analysis of STR amplicons has been supplemented by high-throughput next generation sequencing (NGS) techniques that are able to detect isoalleles bearing sequence polymorphisms and allow for an improved analysis of degraded DNA. Several such assays have been commercialised and validated for forensic applications. However, these systems are cost-effective only when applied to high numbers of samples. We report here an alternative, cost-efficient shallow-sequence output NGS assay called maSTR assay that, in conjunction with a dedicated bioinformatics pipeline called SNiPSTR, can be implemented with standard NGS instrumentation. In a back-to-back comparison with a CE-based, commercial forensic STR kit, we find that for samples with low DNA content, with mixed DNA from different individuals, or containing PCR inhibitors, the maSTR assay performs equally well, and with degraded DNA is superior to CE-based analysis. Thus, the maSTR assay is a simple, robust and cost-efficient NGS-based STR typing method applicable for human identification in forensic and biomedical contexts.

Keywords: DNA profile; PCR inhibitors; bioinformatics; degraded DNA; forensic; high-throughput sequencing; massive parallel sequencing; next generation sequencing; short tandem repeat.

MeSH terms

  • Cost-Benefit Analysis
  • DNA / genetics
  • DNA Fingerprinting* / methods
  • High-Throughput Nucleotide Sequencing* / methods
  • Humans
  • Microsatellite Repeats
  • Multiplex Polymerase Chain Reaction
  • Sequence Analysis, DNA

Substances

  • DNA

Grants and funding

This research was funded by a FH Struktur 2016 grant ("FunForGen", 322-08.03.04.02) of the Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen (MKW.NRW, Germany).