scholarly journals Targeted Next-Generation Resequencing of Gene Identifies Novel Multiple Variants Pattern in Severe Hereditary Factor V Deficiency

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Piotr K. Janicki ◽  
Sonia Vaida ◽  
Hamid A. B. AL-Mondhiry
Keyword(s):  
Factor V ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Factor V Deficiency ◽  
Newborn Child ◽  
Next Generation Sequencing Ngs ◽  
Multiple Variants ◽  
Generation Sequencing ◽  
Entire Gene

The present study investigated the genetic defects underlying severe Factor V deficiency in a 26-year-old Columbian (South America) female and her immediate family (both parents and newborn child) by next generation sequencing (NGS) of the entire gene locus. Five mutations in the coding sequence of , including three missense single-nucleotide variants (R2102H, R513K, D107H) and two synonymous variants (A135A , S184S), were identified and confirmed by the Sanger sequencing in the investigated proband (homozygote for all detected mutations), her parents, and her newborn child (all heterozygotic carriers for identified mutations). Each of the three missense variants was previously associated with separate phenotypes, including Factor V deficiency (R2102H), thrombosis (R513K) and frequent miscarriages (D107H). In addition, at least 75 additional single-nucleotide variants (including six novels) were identified in untranslated region of .

scholarly journals Repli-seq: genome-wide analysis of replication timing by next-generation sequencing

2017 ◽  
Author(s):  
Claire Marchal ◽  
Takayo Sasaki ◽  
Daniel Vera ◽  
Korey Wilson ◽  
Jiao Sima ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Replication Timing ◽  
Nucleotide Polymorphisms ◽  
Robust Methods ◽  
Next Generation ◽  
Single Nucleotide ◽  
Cellular Processes ◽  
Genome Wide ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

ABSTRACTCycling cells duplicate their DNA content during S phase, following a defined program called replication timing (RT). Early and late replicating regions differ in terms of mutation rates, transcriptional activity, chromatin marks and sub-nuclear position. Moreover, RT is regulated during development and is altered in disease. Exploring mechanisms linking RT to other cellular processes in normal and diseased cells will be facilitated by rapid and robust methods with which to measure RT genome wide. Here, we describe a rapid, robust and relatively inexpensive protocol to analyze genome-wide RT by next-generation sequencing (NGS). This protocol yields highly reproducible results across laboratories and platforms. We also provide computational pipelines for analysis, parsing phased genomes using single nucleotide polymorphisms (SNP) for analyzing RT allelic asynchrony, and for direct comparison to Repli-chip data obtained by analyzing nascent DNA by microarrays.

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.

scholarly journals A customized scaffolds approach for the detection and phasing of complex variants by next-generation sequencing

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Qiandong Zeng ◽  
Natalia T. Leach ◽  
Zhaoqing Zhou ◽  
Hui Zhu ◽  
Jean A. Smith ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Variant Calling ◽  
Causative Mutation ◽  
Next Generation ◽  
Single Nucleotide ◽  
Highly Sensitive ◽  
Highly Sensitive Detection ◽  
Next Generation Sequencing Ngs ◽  
Reference Bias ◽  
Generation Sequencing

Abstract Next-generation sequencing (NGS) is widely used in genetic testing for the highly sensitive detection of single nucleotide changes and small insertions or deletions. However, detection and phasing of structural variants, especially in repetitive or homologous regions, can be problematic due to uneven read coverage or genome reference bias, resulting in false calls. To circumvent this challenge, a computational approach utilizing customized scaffolds as supplementary reference sequences for read alignment was developed, and its effectiveness demonstrated with two CBS gene variants: NM_000071.2:c.833T>C and NM_000071.2:c.[833T>C; 844_845ins68]. Variant c.833T>C is a known causative mutation for homocystinuria, but is not pathogenic when in cis with the insertion, c.844_845ins68, because of alternative splicing. Using simulated reads, the custom scaffolds method resolved all possible combinations with 100% accuracy and, based on > 60,000 clinical specimens, exceeded the performance of current approaches that only align reads to GRCh37/hg19 for the detection of c.833T>C alone or in cis with c.844_845ins68. Furthermore, analysis of two 1000 Genomes Project trios revealed that the c.[833T>C; 844_845ins68] complex variant had previously been undetected in these datasets, likely due to the alignment method used. This approach can be configured for existing workflows to detect other challenging and potentially underrepresented variants, thereby augmenting accurate variant calling in clinical NGS testing.

scholarly journals Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Ross G Murphy ◽  
Aideen C Roddy ◽  
Shambhavi Srivastava ◽  
Esther Baena ◽  
David J Waugh ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Cancer Heterogeneity ◽  
Alignment Free ◽  
Treatment Indications ◽  
Patient Heterogeneity ◽  
Genomic Locations ◽  
Generation Sequencing

Abstract Combining alignment-free methods for phylogenetic analysis with multi-regional sampling using next-generation sequencing can provide an assessment of intra-patient tumour heterogeneity. From multi-regional sampling divergent branching, we validated two different lesions within a patient’s prostate. Where multi-regional sampling has not been used, a single sample from one of these areas could misguide as to which drugs or therapies would best benefit this patient, due to the fact these tumours appear to be genetically different. This application has the power to render, in a fraction of the time used by other approaches, intra-patient heterogeneity and decipher aberrant biomarkers. Another alignment-free method for calling single-nucleotide variants from raw next-generation sequencing samples has determined possible variants and genomic locations that may be able to characterize the differences between the two main branching patterns. Alignment-free approaches have been applied to relevant clinical multi-regional samples and may be considered as a valuable option for comparing and determining heterogeneity to help deliver personalized medicine through more robust efforts in identifying targetable pathways and therapeutic strategies. Our study highlights the application these tools could have on patient-aligned treatment indications.

scholarly journals SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors

2010 ◽  
Vol 26 (6) ◽  
pp. 730-736 ◽  
Author(s):  
Rodrigo Goya ◽  
Mark G.F. Sun ◽  
Ryan D. Morin ◽  
Gillian Leung ◽  
Gavin Ha ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Generation Sequencing

scholarly journals SNVHMM: predicting single nucleotide variants from next generation sequencing

2013 ◽  
Vol 14 (1) ◽  
pp. 225 ◽  
Author(s):  
Jiawen Bian ◽  
Chenglin Liu ◽  
Hongyan Wang ◽  
Jing Xing ◽  
Priyanka Kachroo ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Generation Sequencing

scholarly journals From next-generation sequencing alignments to accurate comparison and validation of single-nucleotide variants: the pibase software

2012 ◽  
Vol 41 (1) ◽  
pp. e16-e16 ◽  
Author(s):  
Michael Forster ◽  
Peter Forster ◽  
Abdou Elsharawy ◽  
Georg Hemmrich ◽  
Benjamin Kreck ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Accurate Comparison ◽  
Generation Sequencing

scholarly journals Validation of OncoPanel: A Targeted Next-Generation Sequencing Assay for the Detection of Somatic Variants in Cancer

2017 ◽  
Vol 141 (6) ◽  
pp. 751-758 ◽  
Author(s):  
Elizabeth P. Garcia ◽  
Alissa Minkovsky ◽  
Yonghui Jia ◽  
Matthew D. Ducar ◽  
Priyanka Shivdasani ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Copy Number ◽  
Cancer Biology ◽  
Next Generation ◽  
Analytical Validation ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Insertions And Deletions ◽  
Targeted Next Generation Sequencing ◽  
Generation Sequencing

Context.— The analysis of somatic mutations across multiple genes in cancer specimens may be used to aid clinical decision making. The analytical validation of targeted next-generation sequencing panels is important to assess accuracy and limitations. Objective.— To report the development and validation of OncoPanel, a custom targeted next-generation sequencing assay for cancer. Design.— OncoPanel was designed for the detection of single-nucleotide variants, insertions and deletions, copy number alterations, and structural variants across 282 genes with evidence as drivers of cancer biology. We implemented a validation strategy using formalin-fixed, paraffin-embedded, fresh or frozen samples compared with results obtained by clinically validated orthogonal technologies. Results.— OncoPanel achieved 98% sensitivity and 100% specificity for the detection of single-nucleotide variants, and 84% sensitivity and 100% specificity for the detection of insertions and deletions compared with single-gene assays and mass spectrometry–based genotyping. Copy number detection achieved 86% sensitivity and 98% specificity compared with array comparative genomic hybridization. The sensitivity of structural variant detection was 74% compared with karyotype, fluorescence in situ hybridization, and polymerase chain reaction. Sensitivity was affected by inconsistency in the detection of FLT3 and NPM1 alterations and IGH rearrangements due to design limitations. Limit of detection studies demonstrated 98.4% concordance across triplicate runs for variants with allele fraction greater than 0.1 and at least 50× coverage. Conclusions.— The analytical validation of OncoPanel demonstrates the ability of targeted next-generation sequencing to detect multiple types of genetic alterations across a panel of genes implicated in cancer biology.

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