The QIAGEN 140-locus single-nucleotide polymorphism (SNP) panel for forensic identification using massively parallel sequencing (MPS): an evaluation and a direct-to-PCR trial

2018 ◽  
Vol 133 (3) ◽  
pp. 677-688 ◽  
Author(s):  
I. Avent ◽  
A. G. Kinnane ◽  
N. Jones ◽  
I. Petermann ◽  
R. Daniel ◽  
...  
Author(s):  
Ashley M. Cooley ◽  
Kelly A. Meiklejohn ◽  
Natalie Damaso ◽  
James M. Robertson ◽  
Tracey Dawson Cruz

Thermo Fisher Scientific released the Precision ID Ancestry Panel, a 165-single-nucleotide polymorphism (SNP) panel for ancestry prediction that was initially compatible with the manufacturer’s massively parallel sequencer, the Ion Torrent Personal Genome Machine (PGM). The semiautomated workflow using the panel with the PGM involved several time-consuming manual steps across three instruments, including making templating solutions and loading sequencing chips. In 2014, the manufacturer released the Ion Chef robot, followed by the Ion S5 massively parallel sequencer in late 2015. The robot performs the templating with reagent cartridges and loads the chips, thus creating a fully automated workflow across two instruments. The objective of the work reported here is to compare the performance of two massively parallel sequencing systems and ascertain if the change in the workflow produces different ancestry predictions. For performance comparison of the two systems, forensic-type samples ( n = 16) were used to make libraries. Libraries were templated either with the Ion OneTouch 2 system (for the PGM) or on the Ion Chef robot (for the S5). Sequencing results indicated that the ion sphere particle performance metrics were similar for the two systems. The total coverages per SNP and SNP quality were both higher for the S5 system. Ancestry predictions were concordant for the mock forensic-type samples sequenced on both massively parallel sequencing systems. The results indicated that automating the workflow with the Ion Chef system reduced the labor involved and increased the sequencing quality.


PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0239850
Author(s):  
Linea Christine Trudsø ◽  
Jeppe Dyrberg Andersen ◽  
Stine Bøttcher Jacobsen ◽  
Sofie Lindgren Christiansen ◽  
Clàudia Congost-Teixidor ◽  
...  

2020 ◽  
Author(s):  
Lirong Hu ◽  
Dong Li ◽  
Qin Chu ◽  
Yachun Wang ◽  
Lei Zhou ◽  
...  

Abstract Background: In China, the widespread crossbreeding between Simmental and Holstein is a universal way so as to better improve the comprehensive benefits, as well as decline the inbreeding coefficient. However, the wrong parentage appeared frequently in this population than others due to not only the reasons in pure breeds, but more importantly, the lack of enough attention, which caused the lower accuracy of genetic parameter estimation and genetic evaluation in breeding systems. Single nucleotide polymorphism (SNP) panel in a certain population as a powerful tool for parentage assignment has been reported in numerous studies, especially in cattle. Therefore, the aim of this study was to build an SNP panel with sufficient power for parentage testing in the crossbred population of Simmental and Holstein in China. Results: In the present study, combining direct sequencing method in polymerase chain reaction (PCR) products of deoxyribonucleic acid (DNA) pooling and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) genotyping method in individuals, a panel comprising 50 highly informative single nucleotide polymorphisms (SNPs) for parentage analysis was developed in a crossbred Chinese cattle population. The average minor allele frequency (MAF) was 0.43 and the cumulative exclusion probability for single-parent and both-parent inference met 0.99797 and 0.999999, respectively. The maker-set was then used for parentage verification in a group of 81 trios with the likelihood-based parentage-assignment program of Cervus software. Compared with on-farm records, the results showed that this 50-SNP system could provide sufficient and reliable information for parentage testing with the parental mistakes for mother-offspring and sire-offspring being 8.6% and 18.5%, respectively.Conclusion: Knowledge of these results, we provided one set of low-cost and efficient SNPs for running paternity testing in the crossbred cattle population of Simmental and Holstein in China. Keywords: Parentage analysis, Single nucleotide polymorphism (SNP), Chinese crossbred cattle


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