Massively parallel sequencing of 10 autosomal STRs in Chinese using the ion torrent personal genome machine (PGM)

2016 ◽  
Vol 25 ◽  
pp. 34-38 ◽  
Author(s):  
Xueying Zhao ◽  
Hui Li ◽  
Zheng Wang ◽  
Ke Ma ◽  
Yu Cao ◽  
...  
BMC Genomics ◽  
2015 ◽  
Vol 16 (Suppl 1) ◽  
pp. S4 ◽  
Author(s):  
Seung Bum Seo ◽  
Xiangpei Zeng ◽  
Jonathan L King ◽  
Bobby L Larue ◽  
Mourad Assidi ◽  
...  

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.


2019 ◽  
Vol 7 (1) ◽  
pp. 355-357
Author(s):  
Qingwei Fan ◽  
Yan Wang ◽  
Jing Zhao ◽  
Feng Cheng ◽  
Mengchun Wang ◽  
...  

2016 ◽  
Vol 22 ◽  
pp. 1-7 ◽  
Author(s):  
Eun Hye Kim ◽  
Hwan Young Lee ◽  
In Seok Yang ◽  
Sang-Eun Jung ◽  
Woo Ick Yang ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Suhua Zhang ◽  
Yong Niu ◽  
Yingnan Bian ◽  
Rixia Dong ◽  
Xiling Liu ◽  
...  

2018 ◽  
Vol 39 (22) ◽  
pp. 2906-2911 ◽  
Author(s):  
Rachel Houston ◽  
Carrie Mayes ◽  
Jonathan L. King ◽  
Sheree Hughes‐Stamm ◽  
David Gangitano

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ye-Lim Kwon ◽  
Bo Min Kim ◽  
Eun Young Lee ◽  
Kyoung-Jin Shin

AbstractThe introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African–American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs.


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