scholarly journals Whole Genome Sequencing and Custom Liquid Biopsy Markers in Sarcomas

2021 ◽  
Author(s):  
Felix Haglund de Flon ◽  
Cecilia Arthur ◽  
Hero Nikdin Awier ◽  
Yi Chen ◽  
Jesper Eisfeldt ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Fusion Gene ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Liquid Biopsies ◽  
Prognostic Information ◽  
Genetic Changes ◽  
Rare Tumours

Abstract Background: Sarcomas are rare tumours with heterogeneous clinical behaviour including varying rates of metastasis. Clinical treatment and follow-up rely on crude grading systems with uncertain accuracy for individual patients. Whole genome sequencing (WGS) detects both structural variation and single nucleotide variants and may thus add important diagnostic/prognostic information. Liquid biopsies (LB) may potentially identify hematogenous spread and treatment response rate but further evaluation in sarcomas is needed. Methods: In this study we explore the performance of individualized LB in four patients with different types of sarcomas. Fresh frozen tumour tissue was sequenced using WGS and whole transcriptome sequencing. Three putative driver variants or one fusion gene were selected per case and custom digital droplet PCR (ddPCR) assays were designed, evaluated on tumour DNA and used to assess levels of cell free tumour DNA in plasma taken prior to surgery. Results: In LB, ddPCR identified three variants in one patient with metastatic disease. The remaining three patients had negative LBs and were without disease at follow-up (>18 months after surgery). Conclusions: WGS is a powerful tool to detect all types of genetic changes in sarcoma and can facilitate clinical diagnosis/classification while custom LB may add prognostic information.

scholarly journals Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

2018 ◽  
Author(s):  
Maxime Garcia ◽  
Szilveszter Juhos ◽  
Malin Larsson ◽  
Pall I. Olason ◽  
Marcel Martin ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Open Source ◽  
Genome Sequencing ◽  
Development Project ◽  
Whole Genome ◽  
Sequencing Analysis ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Insertion And Deletion ◽  
Sample Heterogeneity

AbstractSummaryWhole-genome sequencing (WGS) is a cornerstone of precision medicine, but portable and reproducible open-source workflows for WGS analyses of germline and somatic variants are lacking. We present Sarek, a modular, comprehensive, and easy-to-install workflow, combining a range of software for the identification and annotation of single-nucleotide variants (SNVs), insertion and deletion variants (indels), structural variants, tumor sample heterogeneity, and karyotyping from germline or paired tumor/normal samples. Sarek is implemented in a bioinformatics workflow language (Nextflow) with Docker and Singularity compatible containers, ensuring easy deployment and full reproducibility at any Linux based compute cluster or cloud computing environment. Sarek supports the human reference genomes GRCh37 and GRCh38, and can readily be used both as a core production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups.AvailabilitySource code and instructions for local installation are available at GitHub (https://github.com/SciLifeLab/Sarek) under the MIT open-source license, and we invite the research community to contribute additional functionality as a collaborative open-source development project.

scholarly journals Contributions of de novo variants to systemic lupus erythematosus

2020 ◽  
Vol 29 (1) ◽  
pp. 184-193 ◽  
Author(s):  
Jonas Carlsson Almlöf ◽  
Sara Nystedt ◽  
Aikaterini Mechtidou ◽  
Dag Leonard ◽  
Maija-Leena Eloranta ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Lupus Erythematosus ◽  
De Novo ◽  
Whole Genome ◽  
Gene Promoters ◽  
Single Nucleotide Variants ◽  
Systemic Lupus ◽  
Promoter Regions

AbstractBy performing whole-genome sequencing in a Swedish cohort of 71 parent-offspring trios, in which the child in each family is affected by systemic lupus erythematosus (SLE, OMIM 152700), we investigated the contribution of de novo variants to risk of SLE. We found de novo single nucleotide variants (SNVs) to be significantly enriched in gene promoters in SLE patients compared with healthy controls at a level corresponding to 26 de novo promoter SNVs more in each patient than expected. We identified 12 de novo SNVs in promoter regions of genes that have been previously implicated in SLE, or that have functions that could be of relevance to SLE. Furthermore, we detected three missense de novo SNVs, five de novo insertion-deletions, and three de novo structural variants with potential to affect the expression of genes that are relevant for SLE. Based on enrichment analysis, disease-affecting de novo SNVs are expected to occur in one-third of SLE patients. This study shows that de novo variants in promoters commonly contribute to the genetic risk of SLE. The fact that de novo SNVs in SLE were enriched to promoter regions highlights the importance of using whole-genome sequencing for identification of de novo variants.

scholarly journals The Genetic Diversification of a Single Bluetongue Virus Strain Using an In Vitro Model of Alternating-Host Transmission

Viruses ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1038 ◽  
Author(s):  
Jennifer H. Kopanke ◽  
Justin S. Lee ◽  
Mark D. Stenglein ◽  
Christie E. Mayo
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Genetic Stability ◽  
Bluetongue Virus ◽  
Genomic Structure ◽  
Field Isolate ◽  
Viral Population ◽  
Whole Genome ◽  
Single Nucleotide Variants

Bluetongue virus (BTV) is an arbovirus that has been associated with dramatic epizootics in both wild and domestic ruminants in recent decades. As a segmented, double-stranded RNA virus, BTV can evolve via several mechanisms due to its genomic structure. However, the effect of BTV’s alternating-host transmission cycle on the virus’s genetic diversification remains poorly understood. Whole genome sequencing approaches offer a platform for investigating the effect of host-alternation across all ten segments of BTV’s genome. To understand the role of alternating hosts in BTV’s genetic diversification, a field isolate was passaged under three different conditions: (i) serial passages in Culicoides sonorensis cells, (ii) serial passages in bovine pulmonary artery endothelial cells, or (iii) alternating passages between insect and bovine cells. Aliquots of virus were sequenced, and single nucleotide variants were identified. Measures of viral population genetics were used to quantify the genetic diversification that occurred. Two consensus variants in segments 5 and 10 occurred in virus from all three conditions. While variants arose across all passages, measures of genetic diversity remained largely similar across cell culture conditions. Despite passage in a relaxed in vitro system, we found that this BTV isolate exhibited genetic stability across passages and conditions. Our findings underscore the valuable role that whole genome sequencing may play in improving understanding of viral evolution and highlight the genetic stability of BTV.

A 10-year follow-up of a child with mild case of xeroderma pigmentosum complementation group D diagnosed by whole-genome sequencing

2016 ◽  
Vol 32 (4) ◽  
pp. 174-180 ◽  
Author(s):  
Ryusuke Ono ◽  
Taro Masaki ◽  
Franklin Mayca Pozo ◽  
Yuka Nakazawa ◽  
Sigrid M. A. Swagemakers ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Xeroderma Pigmentosum ◽  
Complementation Group ◽  
Whole Genome ◽  
Mild Case ◽  
Group D

scholarly journals Whole Genome Sequencing Highlights Genetic Changes Associated with Laboratory Domestication of C. elegans

PLoS ONE ◽  
2010 ◽  
Vol 5 (11) ◽  
pp. e13922 ◽  
Author(s):  
Katherine P. Weber ◽  
Subhajyoti De ◽  
Iwanka Kozarewa ◽  
Daniel J. Turner ◽  
M. Madan Babu ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome ◽  
Genetic Changes ◽  
C Elegans

scholarly journals Identification of Pathogenic Structural Variants in Rare Disease Patients through Genome Sequencing

2019 ◽  
Author(s):  
James M. Holt ◽  
Camille L. Birch ◽  
Donna M. Brown ◽  
Manavalan Gajapathy ◽  
Nadiya Sosonkina ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Rare Disease ◽  
Genome Sequencing ◽  
Genomic Analysis ◽  
Whole Genome ◽  
Structural Variants ◽  
Single Nucleotide Variants ◽  
Standard Clinical Practice ◽  
Wide Range ◽  
Genetic Features

AbstractPurposeClinical whole genome sequencing is becoming more common for determining the molecular diagnosis of rare disease. However, standard clinical practice often focuses on small variants such as single nucleotide variants and small insertions/deletions. This leaves a wide range of larger “structural variants” that are not commonly analyzed in patients.MethodsWe developed a pipeline for processing structural variants for patients who received whole genome sequencing through the Undiagnosed Diseases Network (UDN). This pipeline called structural variants, stored them in an internal database, and filtered the variants based on internal frequencies and external annotations. The remaining variants were manually inspected and then interesting findings were reported as research variants to clinical sites in the UDN.ResultsOf 477 analyzed UDN cases, 286 cases (≈ 60%) received at least one structural variant as a research finding. The variants in 16 cases (≈ 4%) are considered “Certain” or “Highly likely” molecularly diagnosed and another 4 cases are currently in review. Of those 20 cases, at least 13 were identified originally through our pipeline with one finding leading to identification of a new disease. As part of this paper, we have also released the collection of variant calls identified in our cohort along with heterozygous and homozygous call counts. This data is available at https://github.com/HudsonAlpha/UDN_SV_export.ConclusionStructural variants are key genetic features that should be analyzed during routine clinical genomic analysis. For our UDN patients, structural variants helped solve ≈ 4% of the total number of cases (≈ 13% of all genome sequencing solves), a success rate we expect to improve with better tools and greater understanding of the human genome.

scholarly journals Assessing reproducibility of inherited variants detected with short-read whole genome sequencing

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Bohu Pan ◽  
Luyao Ren ◽  
Vitor Onuchic ◽  
Meijian Guan ◽  
Rebecca Kusko ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Precision Medicine ◽  
Genome Sequencing ◽  
Whole Genome ◽  
Single Nucleotide Variants ◽  
Short Read ◽  
Sequencing Platforms ◽  
The Impact ◽  
Two Populations

Abstract Background Reproducible detection of inherited variants with whole genome sequencing (WGS) is vital for the implementation of precision medicine and is a complicated process in which each step affects variant call quality. Systematically assessing reproducibility of inherited variants with WGS and impact of each step in the process is needed for understanding and improving quality of inherited variants from WGS. Results To dissect the impact of factors involved in detection of inherited variants with WGS, we sequence triplicates of eight DNA samples representing two populations on three short-read sequencing platforms using three library kits in six labs and call variants with 56 combinations of aligners and callers. We find that bioinformatics pipelines (callers and aligners) have a larger impact on variant reproducibility than WGS platform or library preparation. Single-nucleotide variants (SNVs), particularly outside difficult-to-map regions, are more reproducible than small insertions and deletions (indels), which are least reproducible when > 5 bp. Increasing sequencing coverage improves indel reproducibility but has limited impact on SNVs above 30×. Conclusions Our findings highlight sources of variability in variant detection and the need for improvement of bioinformatics pipelines in the era of precision medicine with WGS.

scholarly journals Whole-genome sequencing suggests a role of MIF in the pathophysiology of TEMPI syndrome

2021 ◽  
Vol 5 (12) ◽  
pp. 2563-2568
Author(s):  
Chunyan Sun ◽  
Jian Xu ◽  
Bo Zhang ◽  
Haifan Huang ◽  
Lei Chen ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Plasma Cells ◽  
Whole Genome ◽  
Chromosome 2 ◽  
Single Nucleotide Variants ◽  
Intrapulmonary Shunting ◽  
Complex Structural ◽  
Fluid Collections

TEMPI syndrome (telangiectasias, elevated erythropoietin level and erythrocytosis, monoclonal gammopathy, perinephric fluid collections, and intrapulmonary shunting) is a newly defined multisystemic disease with its pathophysiology largely unknown. Here, we report the whole-genome sequencing (WGS) analysis on the tumor-normal paired cells from a patient with TEMPI syndrome. WGS revealed somatic nonsynonymous single-nucleotide variants, including SLC7A8, NRP2, and AQP7. Complex structural variants of chromosome 2 were found, particularly within regions where some putative oncogenes reside. Of potential clinical relevance, duplication of 22q11.23 was identified, and the expression of the located gene macrophage migration inhibitory factor (MIF) was significantly upregulated in 3 patients with TEMPI syndrome. Importantly, the level of serum MIF in one patient with TEMPI syndrome was significantly decreased in accordance with the downtrend of plasma cells, M-protein, hemoglobin, and erythropoietin and the improvement of telangiectasias, perinephric fluid collections, and intrapulmonary shunting after treatment with plasma cell–directed therapy. In conclusion, our study provides insights into the genomic landscape and suggests a role of MIF in the pathophysiology of TEMPI syndrome.

scholarly journals Utility of Combining Whole Genome Sequencing with Traditional Investigational Methods To Solve Foodborne Outbreaks of Salmonella Infections Associated with Chicken: A New Tool for Tackling This Challenging Food Vehicle

2017 ◽  
Vol 80 (4) ◽  
pp. 654-660 ◽  
Author(s):  
Samuel J. Crowe ◽  
Alice Green ◽  
Kimberly Hernandez ◽  
Vi Peralta ◽  
Lyndsay Bottichio ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Food Samples ◽  
Clinical Isolates ◽  
Whole Genome ◽  
Salmonella Infections ◽  
Outbreak Investigations ◽  
Consumption Rates ◽  
Foodborne Outbreaks

ABSTRACT High consumption rates and a multitude of brands make multistate foodborne outbreaks of Salmonella infections associated with chicken challenging to investigate, but whole genome sequencing is a powerful tool that can be used to assist investigators. Whole genome sequencing of pathogens isolated from clinical, environmental, and food samples is increasingly being used in multistate foodborne outbreak investigations to determine with unprecedented resolution how closely related these isolates are to one another genetically. In 2014, federal and state health officials investigated an outbreak of 146 Salmonella Heidelberg infections in 24 states. A follow-up analysis was conducted after the conclusion of the investigation in which 27 clinical and 24 food isolates from the outbreak underwent whole genome sequencing. These isolates formed seven clades, the largest of which contained clinical isolates from a subcluster of case patients who attended a catered party. One isolate from a chicken processed by a large producer was closely related genetically (zero to three single-nucleotide polymorphism differences) to the clinical isolates from these subcluster case patients. Chicken from this large producer was also present in the kitchen of the caterer on the day before the event, thus providing additional evidence that the chicken from this producer was the outbreak source. This investigation highlights how whole genome sequencing can be used with epidemiologic and traceback evidence to identify chicken sources of foodborne outbreaks.

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