Next generation sequencing of SNPs using the HID-Ion AmpliSeq™ Identity Panel on the Ion Torrent PGM™ platform

2016 ◽  
Vol 25 ◽  
pp. 73-84 ◽  
Author(s):  
Fei Guo ◽  
Yishu Zhou ◽  
He Song ◽  
Jinling Zhao ◽  
Hongying Shen ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Ion Torrent ◽  
Next Generation ◽  
Ion Torrent Pgm ◽  
Generation Sequencing

scholarly journals Next-generation sequencing of BRCA1 and BRCA2 genes for rapid detection of germline mutations in hereditary breast/ovarian cancer

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6661 ◽  
Author(s):  
Arianna Nicolussi ◽  
Francesca Belardinilli ◽  
Yasaman Mahdavian ◽  
Valeria Colicchia ◽  
Sonia D’Inzeo ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Sanger Sequencing ◽  
Germline Mutations ◽  
Ion Torrent ◽  
Next Generation ◽  
Training Set ◽  
Brca1 And Brca2 ◽  
Ion Torrent Pgm ◽  
Validation Set ◽  
Generation Sequencing

Background Conventional methods used to identify BRCA1 and BRCA2 germline mutations in hereditary cancers, such as Sanger sequencing/multiplex ligation-dependent probe amplification (MLPA), are time-consuming and expensive, due to the large size of the genes. The recent introduction of next-generation sequencing (NGS) benchtop platforms offered a powerful alternative for mutation detection, dramatically improving the speed and the efficiency of DNA testing. Here we tested the performance of the Ion Torrent PGM platform with the Ion AmpliSeq BRCA1 and BRCA2 Panel in our clinical routine of breast/ovarian hereditary cancer syndrome assessment. Methods We first tested the NGS approach in a cohort of 11 patients (training set) who had previously undergone genetic diagnosis in our laboratory by conventional methods. Then, we applied the optimized pipeline to the consecutive cohort of 136 uncharacterized probands (validation set). Results By minimal adjustments in the analytical pipeline of Torrent Suite Software we obtained a 100% concordance with Sanger results regarding the identification of single nucleotide alterations, insertions, and deletions with the exception of three large genomic rearrangements (LGRs) contained in the training set. The optimized pipeline applied to the validation set (VS), identified pathogenic and polymorphic variants, including a novel BRCA2 pathogenic variant at exon 3, 100% of which were confirmed by Sanger in their correct zygosity status. To identify LGRs, all negative samples of the VS were subjected to MLPA analysis. Discussion Our experience strongly supports that the Ion Torrent PGM technology in BRCA1 and BRCA2 germline variant identification, combined with MLPA analysis, is highly sensitive, easy to use, faster, and cheaper than traditional (Sanger sequencing/MLPA) approaches.

scholarly journals Comparison of Next-Generation Sequencing Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Lin Liu ◽  
Yinhu Li ◽  
Siliang Li ◽  
Ni Hu ◽  
Yimin He ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Genomic Sequence ◽  
Sequence Information ◽  
Ion Torrent ◽  
Next Generation ◽  
Extensive Experience ◽  
Ion Torrent Pgm ◽  
Fast Development ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

With fast development and wide applications of next-generation sequencing (NGS) technologies, genomic sequence information is within reach to aid the achievement of goals to decode life mysteries, make better crops, detect pathogens, and improve life qualities. NGS systems are typically represented by SOLiD/Ion Torrent PGM from Life Sciences, Genome Analyzer/HiSeq 2000/MiSeq from Illumina, and GS FLX Titanium/GS Junior from Roche. Beijing Genomics Institute (BGI), which possesses the world’s biggest sequencing capacity, has multiple NGS systems including 137 HiSeq 2000, 27 SOLiD, one Ion Torrent PGM, one MiSeq, and one 454 sequencer. We have accumulated extensive experience in sample handling, sequencing, and bioinformatics analysis. In this paper, technologies of these systems are reviewed, and first-hand data from extensive experience is summarized and analyzed to discuss the advantages and specifics associated with each sequencing system. At last, applications of NGS are summarized.

scholarly journals Next-Generation Sequencing Workflow for NSCLC Critical Samples Using a Targeted Sequencing Approach by Ion Torrent PGM™ Platform

2015 ◽  
Vol 16 (12) ◽  
pp. 28765-28782 ◽  
Author(s):  
Irene Vanni ◽  
Simona Coco ◽  
Anna Truini ◽  
Marta Rusmini ◽  
Maria Dal Bello ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Targeted Sequencing ◽  
Ion Torrent ◽  
Next Generation ◽  
Ion Torrent Pgm ◽  
Generation Sequencing

scholarly journals Evaluation of Ion Torrent next-generation sequencing for thalassemia diagnosis

2020 ◽  
Vol 48 (12) ◽  
pp. 030006052096777
Author(s):  
Peisong Chen ◽  
Xuegao Yu ◽  
Hao Huang ◽  
Wentao Zeng ◽  
Xiaohong He ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Ion Torrent ◽  
Next Generation ◽  
Large Deletions ◽  
Different Types ◽  
Variant Detection ◽  
Polymerase Chain ◽  
Next Generation Sequencing Ngs ◽  
Accuracy And Repeatability ◽  
Generation Sequencing

Introduction To evaluate a next-generation sequencing (NGS) workflow in the screening and diagnosis of thalassemia. Methods In this prospective study, blood samples were obtained from people undergoing genetic screening for thalassemia at our centre in Guangzhou, China. Genomic DNA was polymerase chain reaction (PCR)-amplified and sequenced using the Ion Torrent system and results compared with traditional genetic analyses. Results Of the 359 subjects, 148 (41%) were confirmed to have thalassemia. Variant detection identified 35 different types including the most common. Identification of the mutational sites by NGS were consistent with those identified by Sanger sequencing and Gap-PCR. The sensitivity and specificities of the Ion Torrent NGS were 100%. In a separate test of 16 samples, results were consistent when repeated ten times. Conclusion Our NGS workflow based on the Ion Torrent sequencer was successful in the detection of large deletions and non-deletional defects in thalassemia with high accuracy and repeatability.

scholarly journals A Model Study of In Silico Proficiency Testing for Clinical Next-Generation Sequencing

2016 ◽  
Vol 140 (10) ◽  
pp. 1085-1091 ◽  
Author(s):  
Eric J. Duncavage ◽  
Haley J. Abel ◽  
Jason D. Merker ◽  
John B. Bodner ◽  
Qin Zhao ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Proficiency Testing ◽  
In Silico ◽  
Absolute Difference ◽  
Ion Torrent ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Clinical Laboratories ◽  
Generation Sequencing

Context.—Most current proficiency testing challenges for next-generation sequencing assays are methods-based proficiency testing surveys that use DNA from characterized reference samples to test both the wet-bench and bioinformatics/dry-bench aspects of the tests. Methods-based proficiency testing surveys are limited by the number and types of mutations that either are naturally present or can be introduced into a single DNA sample. Objective.—To address these limitations by exploring a model of in silico proficiency testing in which sequence data from a single well-characterized specimen are manipulated electronically. Design.—DNA from the College of American Pathologists reference genome was enriched using the Illumina TruSeq and Life Technologies AmpliSeq panels and sequenced on the MiSeq and Ion Torrent platforms, respectively. The resulting data were mutagenized in silico and 26 variants, including single-nucleotide variants, deletions, and dinucleotide substitutions, were added at variant allele fractions (VAFs) from 10% to 50%. Participating clinical laboratories downloaded these files and analyzed them using their clinical bioinformatics pipelines. Results.—Laboratories using the AmpliSeq/Ion Torrent and/or the TruSeq/MiSeq participated in the 2 surveys. On average, laboratories identified 24.6 of 26 variants (95%) overall and 21.4 of 22 variants (97%) with VAFs greater than 15%. No false-positive calls were reported. The most frequently missed variants were single-nucleotide variants with VAFs less than 15%. Across both challenges, reported VAF concordance was excellent, with less than 1% median absolute difference between the simulated VAF and mean reported VAF. Conclusions.—The results indicate that in silico proficiency testing is a feasible approach for methods-based proficiency testing, and demonstrate that the sensitivity and specificity of current next-generation sequencing bioinformatics across clinical laboratories are high.

Development of an Ultra-Deep Sequencing Method on Ion Torrent PGM to Detect Mutations in a Panel of Genes Relevant to Disease Progression and Drug Resistance in Chronic Lymphocytic Leukaemia

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5634-5634
Author(s):  
Sozan Karim
Keyword(s):  
Drug Resistance ◽  
Next Generation Sequencing ◽  
Disease Progression ◽  
Sanger Sequencing ◽  
Lymphocytic Leukaemia ◽  
Ion Torrent ◽  
Coverage Depth ◽  
Ion Torrent Pgm ◽  
Sequencing Method ◽  
Generation Sequencing

Abstract Chronic lymphocytic leukaemia (CLL) is the most common adult leukaemia in the Western world. The disease is characterised by a great variability in clinical course and response to treatment. Acquired somatic mutations in genes related to multiple signal pathways have recently emerged as important factors contributing to this heterogeneity. These mutations accumulate with disease progression or development of therapy resistance. However, with conventional methods they are very difficult to be detected in a single test, particularly when the size of the affected cell population is small. Therefore, there is a clinical need for a rapid, reliable, affordable and highly sensitive sequencing method to monitor these mutations from an early stage of this disease. Herein we developed an ultra-deep next generation sequencing approach based on Ion Torrent PGM to sequence a total of 246 exons of 15 genes including TP53, ATM, BIRC3, NOTCH1, SF3B1, MYD88, LRP1B, SAMHD1, FBXW7, POT1, HISTIH1E, XPO1, CHD2, PCLO and ZFPM2. These genes were selected because mutations in them have been reported to involve at least 5% of CLL patients and associate with poor outcome of CLL. Serial CLL samples were collected at multiple time points from diagnosis to disease progression/drug resistance from a cohort of 33 patients. Initially, target DNA in samples taken at advanced disease stages, without or with mutations in TP53 as detected and quantified by FASAY assay and Sanger sequencing, was enriched and amplified using Agilent HaloPlex probes, with 4604 amplicons for a sequenceable size of 135.91 Kbp of each sample. On each Ion 318 Chip (1 GB output), barcoded DNA enrichment preparations from 4 patients were sequenced by the PGM. For confirmation, the same patient samples were tested repeatedly in an independent experiment starting from DNA preparation. The sequence data were aligned to a human reference genome (Hg19); variants were called by the Torrent Variant Caller (v4.0-6) and visualised with the IGV. Results showed that the target coverage was 99.999% and an average coverage depth 3941x. Importantly, all of the known TP53 mutations were repeatedly detected at expected frequencies. In addition, extra mutations at lower levels (5% - 20% alleles) in multiple genes, including TP53 and SF3B1, were detected. In a sensitivity test of this method, DNA samples from 5 cases, each with a known % of mutation in TP53measured by FASAY assay and Sanger sequencing, were pooled together and then mixed with a wild-type DNA sample to serially dilute these mutations to 20% - 0.2% alleles before target enrichment. With an average coverage depth of 1843x (range: 1610 - 2187) for these 5 target locations, each mutation was readily detected at 20%, 5% and 1%, with the average quality scores being 1497.3, 61.2 and 29.4, respectively. However, only 3 out the 5 mutations could be detected at the level of 0.2%. Taken together, we have successfully developed a sensitive next generation sequencing method for detecting mutations in a CLL gene panel. This allows us to monitor multiple mutations affecting as low as 1% of alleles in CLL samples throughout the disease course and possibly discover clinically useful biomarker(s) for CLL progression and resistance to therapy. Disclosures No relevant conflicts of interest to declare.

Sign in / Sign up

Export Citation Format

Share Document