Related Experiment Video
Updated: Apr 12, 2026

Simultaneous Quantification of T-Cell Receptor Excision Circles TRECs and K-Deleting Recombination Excision Circles KRECs by Real-time PCR
Published on: December 6, 2014
Validation of the IDseek® OmniSTR™ Global Autosomal STR Profiling kit, reverse complement PCR as an improved
Kristiaan J van der Gaag1, Natalie Weiler1, Erik A C de Jong2
1Division of Biological Traces, Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague 2497 GB, the Netherlands.
Abstract:
Massively Parallel Sequencing (MPS) has gained interest in the forensic community over the past decade. Most of the published MPS methods focus on specialty applications intended for use in a limited number of samples with protocols that are relatively laborious. Recent developments using Reverse-Complement PCR enable an efficient MPS protocol suited for routine analysis of high numbers of samples. This method is implemented in the IDseek® OmniSTR™ Global Autosomal STR Profiling kit (Nimagen) for sequencing 28 of the most commonly used forensic autosomal STRs, one Y-chromosomal STR and Amelogenin. This study describes the validation of this kit and focuses on sensitivity, inhibitor tolerance, sequence variation detection and performance with mixtures up to 5 contributors. Results are compared to a Capillary Electrophoresis method (the PowerPlex® Fusion 6 C system, Promega) and the first commercial forensic MPS kit (ForenSeq™ DNA Signature prep, Qiagen) and for a concordance study with data from the Powerseq® MPS kit as well. Analysis settings in FDSTools are deduced and discussed, and an almost completely automated analysis is achieved. Using FDSTools noise correction, contributions in a mixture down to a level of 1.5 % of the major allele of a marker can be detected.
More Related Videos
10:41Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
Published on: March 29, 2017
05:53Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018