Golden Helix has a long history of developing a high-quality NGS-based CNV caller. This has become even more apparent with our latest publication, where we teamed up with Twist Bioscience to demonstrate VarSeq capability of calling large copy number variants utilizing their clinical whole exome sequencing data. You can access the recent publication here: Analyzing Performance of Twist Bioscience Exome… Read more »
The Leiden Open Variation Database (LOVD) is an online database designed to facilitate the collection and display of clinically classified variants. Since its initial release in 2004, LOVD has evolved significantly, with the latest version, LOVD 3.0, greatly expanding the number of annotated variants. Golden Helix is excited to announce the release of two new annotation tracks containing data from… Read more »
The recent release of VarSeq 2.6.0 was filled with so many customer-requested features (for example, our long-awaited PGx workflow!) that some of our other new features have not yet had their time in the spotlight. For this blog, we are thrilled to announce that with the release of VarSeq 2.6.0, we have made WGS CNV calling more user-friendly than ever… Read more »
In this blog post, we will explore the nuances of variant calling and import in the context of VSPGx. We will discuss the importance of integrating must-call variant definitions into the calling processes and provide guidance on incorporating copy number variants (CNVs) and structural variations (SVs) into your PGx analysis workflow. Must Call Variant Files To ensure the optimal performance… Read more »
In the rapidly evolving field of genomics, innovative technologies, and methodologies are constantly being developed to enhance our understanding and diagnosis of genetic disorders. Golden Helix’s VarSeq and VS-CNV software platforms stand at the forefront of this revolution, offering powerful tools for genetic data analysis and interpretation. This blog highlights recent research endeavors where these tools have been instrumental. From… Read more »
Recently, at ACMG 2024, we unveiled a collaborative research project with Twist Biosciences. By utilizing Twist Bioscience enhanced Exome 2.0 Plus Comprehensive Exome Spike-In capture panel with added backbone probes, we developed a multi-modal CNV caller designed specifically for target-capture NGS data to detect single-exon to whole-chromosome aneuploid CNV events. We are proud to say that from Golden Helix, Andreas… Read more »
In our recent webcast, we unveiled the integration of the Twist Bioscience Exome 2.0 Plus Comprehensive Exome Spike-in capture panel with VS-CNV, marking a significant advancement in genetic diagnostics. By addressing the limitations of standard exome kits that miss vast genomic regions, our enhanced panel introduces ‘backbone’ probes for comprehensive genomic coverage. This innovation enables the detection of CNVs, LOH,… Read more »
Detecting CNVs from whole genome data has a number of advantages but also unique challenges. Whole genomes offer a comprehensive and uniform picture of the entire genome, allowing a user to capture CNVs at a higher resolution than with data sequenced at a lesser scale. It also allows for the detection of structural variation over non-coding regions and for a… Read more »
The ability to analyze copy number variants (CNVs) is an important aspect of any clinical or research workflow. While calling CNVs can be a challenging engineering problem, we are thrilled by our capacity to detect, analyze, and catalog CNVs all in the same place with VarSeq-CNV. In this blog, we will dive into the particulars of detecting CNVs with gene… Read more »
First, thank you to everyone who joined us for our recent webcast, Handling a Variety of CNV Caller Inputs with VarSeq. Also, we would like to thank those that Tweeted #CNVsupport @GoldenHelix or emailed us ([email protected]) to throw in their questions. This was a successful trial run, and we would like to continue engaging with our users through these outlets…. Read more »
Advances in high-throughput sequencing have allowed us to be able to detect structural variants such as copy number variants in addition to small variants such as SNVs and indels. We provide users with an industry-leading CNV calling algorithm to detect CNVs directly from their next-generation sequencing data including whole genome, whole exome, and gene panel datasets, and also import CNVs… Read more »
The overall objective of Trio Analysis is to leverage inheritance data to determine the ancestry of variants in the proband, whether that be through transmission from the mother and father, or of de novo origin. We have previously covered family based analysis in this blog post and this webcast, but both of these sources have been based on variants brought… Read more »
Global population frequency catalogs like 1kG Phase 3, gnomAD, DGV, and others are excellent resources for identifying rare variants in your copy number variant (CNV) analysis. However, they are not exhaustive, and the reality is a lot of variants that are missing from global population frequency catalogs are still common variants. At the same time, CNVs that are identified by… Read more »
If you stay current on the developments of Golden Helix features, you are aware of the substantial evolution of our copy number detection and evaluation capabilities in VarSeq. The process of CNV detection and evaluation is typically handled through the VarSeq graphic user interface. However, in some cases, users benefit from running this process via the command-line interface. Fortunately, Golden… Read more »
In February 2020, the American College of Medical Genetics (ACMG) and the Clinical Genome Resource (ClinGen) published a joint consensus on standards for the interpretation and reporting of copy number variants (CNVs) ranging from large CNVs spanning multiple genes to small intragenic events1. The guidelines consist of over 80 different criteria which are arranged into five distinct sections. These extensive… Read more »
The VarSeq CNV calling algorithm, VS-CNV, is a powerful tool for calling CNVs from the NGS coverage data stored in your BAM files. However, before this algorithm can be deployed in a clinical setting, it must be tuned and validated using data that is representative of your lab’s NGS workflow. In the past, this validation process could be difficult, as… Read more »
VSPipeline is a command-line interface that will provide high throughput environments the ability to tap the full power of VarSeq’s algorithms and flexible project template system from any command-line context, including the existing bioinformatics pipeline. This feature is a great resource for analyzing large sample volumes as it automates importing and annotating your data, which can help streamline your analysis… Read more »
Golden Helix has just released VarSeq v2.2.3. In this update, there are notable changes that can improve CNV calling capabilities covered in this webcast. The topics discussed included: Accounting for GC content Improvements to CNV quality flags Using target filtering Updates to the CNV sensitivity and precision settings This blog post will elaborate on these capabilities and demonstrate how they… Read more »
Thank you to those who attended the recent webcast, “High Precision Exome CNV Detection with VS-CNV”. For those who could not attend but wish to watch, here is a link to the recording. This webcast delved into the complex world of CNV calling for whole-exome samples, which presents unique challenges that require specific considerations and strategies. Over the past several months,… Read more »
We are excited to share our latest publication with The Journal of Precision Medicine, “Implementing the ACMG Guidelines for CNV in a Commercial Software Solution”. “In 2020, ACMG in collaboration with the ClinGen working group developed a new set of guidelines for the clinical interpretation of CNVs. While theseguidelines provide a robust set of rules for interpreting intragenic deletions and… Read more »