scholarly journals VarGenius-HZD allows accurate detection of rare homozygous or hemizygous deletions in targeted sequencing leveraging breadth of coverage

2021 ◽  
Author(s):  
Francesco Musacchia ◽  
Marianthi Karali ◽  
Annalaura Torella ◽  
Steve Laurie ◽  
Valeria Policastro ◽  
...  
Keyword(s):  
Genetic Diagnosis ◽  
Targeted Sequencing ◽  
Supplementary Information ◽  
Sequencing Data ◽  
Scalable Algorithm ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies ◽  
Homozygous Deletions ◽  
Selection Of ◽  
Higher Sensitivity

Motivation: Homozygous deletions (HDs) may be the cause of rare diseases and cancer and their discovery in targeted sequencing is a challenging task. Different tools have been developed to disentangle HD discovery but a sensitive caller is still lacking. Results: We present VarGenius-HZD, a sensitive and scalable algorithm that leverages breadth-of-coverage for the detection of rare homozygous and hemizygous single-exon deletions (HDs). To assess its effectiveness we detected both real and synthetic rare HDs in fifty exomes from the 1000 Genomes Project obtaining higher sensitivity in comparison with state-of-the-art algorithms which missed at least one event each. We then applied our tool on targeted sequencing data from patients with Inherited Retinal Dystrophies and solved five cases that still lacked a genetic diagnosis. Availability and implementation: We provide VarGenius-HZD either stand-alone or integrated within our recently developed software enabling the automated selection of samples using the internal database. Hence, it could be extremely useful for both diagnostic and research purposes. Our tool is available under GNU General Public License, version 3 at: https://github.com/frankMusacchia/VarGenius-HZD Contact: [email protected] Supplementary information is available online.

scholarly journals VarGenius-HZD Allows Accurate Detection of Rare Homozygous or Hemizygous Deletions in Targeted Sequencing Leveraging Breadth of Coverage

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1979
Author(s):  
Francesco Musacchia ◽  
Marianthi Karali ◽  
Annalaura Torella ◽  
Steve Laurie ◽  
Valeria Policastro ◽  
...  
Keyword(s):  
Genetic Diagnosis ◽  
Targeted Sequencing ◽  
Sequencing Data ◽  
Scalable Algorithm ◽  
1000 Genomes ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies ◽  
Homozygous Deletions ◽  
Selection Of ◽  
Higher Sensitivity

Homozygous deletions (HDs) may be the cause of rare diseases and cancer, and their discovery in targeted sequencing is a challenging task. Different tools have been developed to disentangle HD discovery but a sensitive caller is still lacking. We present VarGenius-HZD, a sensitive and scalable algorithm that leverages breadth-of-coverage for the detection of rare homozygous and hemizygous single-exon deletions (HDs). To assess its effectiveness, we detected both real and synthetic rare HDs in fifty exomes from the 1000 Genomes Project obtaining higher sensitivity in comparison with state-of-the-art algorithms that each missed at least one event. We then applied our tool on targeted sequencing data from patients with Inherited Retinal Dystrophies and solved five cases that still lacked a genetic diagnosis. We provide VarGenius-HZD either stand-alone or integrated within our recently developed software, enabling the automated selection of samples using the internal database. Hence, it could be extremely useful for both diagnostic and research purposes.

scholarly journals Quantification of aneuploidy in targeted sequencing data using ASCETS

2020 ◽  
Author(s):  
Liam F Spurr ◽  
Mehdi Touat ◽  
Alison M Taylor ◽  
Adrian M Dubuc ◽  
Juliann Shih ◽  
...  
Keyword(s):  
Copy Number ◽  
Large Scale ◽  
Genomic Analysis ◽  
Targeted Sequencing ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Sequencing Data ◽  
Copy Number Changes ◽  
Panel Sequencing ◽  
Chromosome Level

Abstract Summary The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data. Availability and implementation ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Updating the Genetic Landscape of Inherited Retinal Dystrophies

2021 ◽  
Vol 9 ◽  
Author(s):  
Belén García Bohórquez ◽  
Elena Aller ◽  
Ana Rodríguez Muñoz ◽  
Teresa Jaijo ◽  
Gema García García ◽  
...  
Keyword(s):  
Genetic Diagnosis ◽  
Diagnostic Process ◽  
Reproductive Decisions ◽  
Inherited Retinal Dystrophies ◽  
Pathogenic Variants ◽  
Retinal Dystrophies ◽  
Genetic Landscape ◽  
Custom Panel ◽  
Generation Sequencing ◽  
Autosomal Recessive Pattern

Inherited retinal dystrophies (IRD) are a group of diseases characterized by the loss or dysfunction of photoreceptors and a high genetic and clinical heterogeneity. Currently, over 270 genes have been associated with IRD which makes genetic diagnosis very difficult. The recent advent of next generation sequencing has greatly facilitated the diagnostic process, enabling to provide the patients with accurate genetic counseling in some cases. We studied 92 patients who were clinically diagnosed with IRD with two different custom panels. In total, we resolved 53 patients (57.6%); in 12 patients (13%), we found only one mutation in a gene with a known autosomal recessive pattern of inheritance; and 27 patients (29.3%) remained unsolved. We identified 120 pathogenic or likely pathogenic variants; 30 of them were novel. Among the cone-rod dystrophy patients, ABCA4 was the most common mutated gene, meanwhile, USH2A was the most prevalent among the retinitis pigmentosa patients. Interestingly, 10 families carried pathogenic variants in more than one IRD gene, and we identified two deep-intronic variants previously described as pathogenic in ABCA4 and CEP290. In conclusion, the IRD study through custom panel sequencing demonstrates its efficacy for genetic diagnosis, as well as the importance of including deep-intronic regions in their design. This genetic diagnosis will allow patients to make accurate reproductive decisions, enroll in gene-based clinical trials, and benefit from future gene-based treatments.

Scaling New Heights in the Genetic Diagnosis of Inherited Retinal Dystrophies

2019 ◽  
pp. 215-219 ◽  
Author(s):  
Roser Gonzàlez-Duarte ◽  
Marta de Castro-Miró ◽  
Miquel Tuson ◽  
Valeria Ramírez-Castañeda ◽  
Rebeca Valero Gils ◽  
...  
Keyword(s):  
Genetic Diagnosis ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies

scholarly journals Improving the management of Inherited Retinal Dystrophies by targeted sequencing of a population-specific gene panel

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Nereida Bravo-Gil ◽  
Cristina Méndez-Vidal ◽  
Laura Romero-Pérez ◽  
María González-del Pozo ◽  
Enrique Rodríguez-de la Rúa ◽  
...  
Keyword(s):  
Gene Panel ◽  
Targeted Sequencing ◽  
Specific Gene ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies

scholarly journals Whole exome sequencing using Ion Proton system enables reliable genetic diagnosis of inherited retinal dystrophies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Marina Riera ◽  
Rafael Navarro ◽  
Sheila Ruiz-Nogales ◽  
Pilar Méndez ◽  
Anniken Burés-Jelstrup ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Genetic Diagnosis ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies ◽  
Whole Exome ◽  
Ion Proton

scholarly journals UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries

2020 ◽  
Vol 36 (9) ◽  
pp. 2718-2724 ◽  
Author(s):  
Vincent Sater ◽  
Pierre-Julien Viailly ◽  
Thierry Lecroq ◽  
Élise Prieur-Gaston ◽  
Élodie Bohers ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Low Frequency ◽  
Variant Calling ◽  
Pcr Amplification ◽  
Targeted Sequencing ◽  
Supplementary Information ◽  
Sequencing Data ◽  
Single Nucleotide Variants ◽  
Background Error ◽  
Low Frequencies

Abstract Motivation Next-generation sequencing has become the go-to standard method for the detection of single-nucleotide variants in tumor cells. The use of such technologies requires a PCR amplification step and a sequencing step, steps in which artifacts are introduced at very low frequencies. These artifacts are often confused with true low-frequency variants that can be found in tumor cells and cell-free DNA. The recent use of unique molecular identifiers (UMI) in targeted sequencing protocols has offered a trustworthy approach to filter out artefactual variants and accurately call low-frequency variants. However, the integration of UMI analysis in the variant calling process led to developing tools that are significantly slower and more memory consuming than raw-reads-based variant callers. Results We present UMI-VarCal, a UMI-based variant caller for targeted sequencing data with better sensitivity compared to other variant callers. Being developed with performance in mind, UMI-VarCal stands out from the crowd by being one of the few variant callers that do not rely on SAMtools to do their pileup. Instead, at its core runs an innovative homemade pileup algorithm specifically designed to treat the UMI tags in the reads. After the pileup, a Poisson statistical test is applied at every position to determine if the frequency of the variant is significantly higher than the background error noise. Finally, an analysis of UMI tags is performed, a strand bias and a homopolymer length filter are applied to achieve better accuracy. We illustrate the results obtained using UMI-VarCal through the sequencing of tumor samples and we show how UMI-VarCal is both faster and more sensitive than other publicly available solutions. Availability and implementation The entire pipeline is available at https://gitlab.com/vincent-sater/umi-varcal-master under MIT license. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Genetic landscape of 6089 inherited retinal dystrophies affected cases in Spain and their therapeutic and extended epidemiological implications

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Irene Perea-Romero ◽  
◽  
Gema Gordo ◽  
Ionut F. Iancu ◽  
Marta Del Pozo-Valero ◽  
...  
Keyword(s):  
Genetic Diagnosis ◽  
Cross Sectional Study ◽  
Molecular Techniques ◽  
Cross Sectional ◽  
Autonomous Communities ◽  
Inherited Retinal Dystrophies ◽  
Pathogenic Variants ◽  
Retinal Dystrophies ◽  
Family Pedigree ◽  
Genetic Landscape

AbstractInherited retinal diseases (IRDs), defined by dysfunction or progressive loss of photoreceptors, are disorders characterized by elevated heterogeneity, both at the clinical and genetic levels. Our main goal was to address the genetic landscape of IRD in the largest cohort of Spanish patients reported to date. A retrospective hospital-based cross-sectional study was carried out on 6089 IRD affected individuals (from 4403 unrelated families), referred for genetic testing from all the Spanish autonomous communities. Clinical, demographic and familiar data were collected from each patient, including family pedigree, age of appearance of visual symptoms, presence of any systemic findings and geographical origin. Genetic studies were performed to the 3951 families with available DNA using different molecular techniques. Overall, 53.2% (2100/3951) of the studied families were genetically characterized, and 1549 different likely causative variants in 142 genes were identified. The most common phenotype encountered is retinitis pigmentosa (RP) (55.6% of families, 2447/4403). The most recurrently mutated genes were PRPH2, ABCA4 and RS1 in autosomal dominant (AD), autosomal recessive (AR) and X-linked (XL) NON-RP cases, respectively; RHO, USH2A and RPGR in AD, AR and XL for non-syndromic RP; and USH2A and MYO7A in syndromic IRD. Pathogenic variants c.3386G > T (p.Arg1129Leu) in ABCA4 and c.2276G > T (p.Cys759Phe) in USH2A were the most frequent variants identified. Our study provides the general landscape for IRD in Spain, reporting the largest cohort ever presented. Our results have important implications for genetic diagnosis, counselling and new therapeutic strategies to both the Spanish population and other related populations.

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