In the world of genomics shaping precision medicine in oncology, the limiting factor is the time-to-sign-out of a fully interpreted molecular profile report. There are many components of the entire testing process that add to the turn-around time of each test. Many of these steps, such as sample prep, sequencing, and automated secondary analysis, are bounded and consistent in their time requirements. The hands-on… Read more »
With the increasing knowledge of mutations involved in cancer, it is imperative to have a tertiary analysis pipeline that provides users with the most up to date information on somatic mutations. VSClinical’s Cancer Add-On does just that and more; with this feature, users can investigate and report on SNVs, indels, CNVs, gene fusions, and considerations for wild type genes in… Read more »
Congenital Myasthenic Syndromes (CMS) History: Congenital Myasthenic Syndromes (CMS) are a group of rare hereditary conditions that can cause seizures, severe muscle weakness, respiratory problems, and potentially disabling weaknesses shortly after birth or early childhood (1). CMS is the result of abnormalities in acetylcholine proteins residing in the motor endplate of the neuromuscular junction (1). These abnormalities can be diagnosed… Read more »
When using VarSeq; annotations, application settings, and assessment catalogs are all stored locally. Sometimes these resources can grow to large space grabbing directories, causing you to either purchase additional storage devices or getting rid of previously downloaded resources you might need down the road. But there’s hope! You can set where you want all of your data stored to be… Read more »
Hypertrophic Cardiomyopathy History It was December 9th, 1989, when one of Loyola Marymount’s strongest inside players, Hank Gathers, collapsed during the middle of a collegiate level basketball game against UC Santa Barbara. Measuring in at 6’7” and weighing 210 pounds, Gathers was diagnosed with exercise-induced ventricular tachycardia, or in layman’s terms, an abnormal heartbeat. Even with the concerning nature of… Read more »
Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants As described in my eBook “Genetic Testing for Cancer,” any bioinformatic pipeline for cancer ultimately calls variants based on the aligned reads that the sequencer generated. Variant calling is the process of reviewing a sequence alignment, typically in the form of a BAM file, to identify loci… Read more »
VSClinical provides a rapid-fire way to investigate any variant’s impact by following the ACMG Guidelines process for classification. We will be demonstrating this by looking at interesting examples of rare disorders and showcasing some evaluation steps users may deploy in their analysis. Our first example in this blog series is for a patient who has an indifference to pain, while… Read more »
In the previous blog post, we covered the automated steps to create a VarSeq project. Today we will examine the active analysis steps. These are the steps that require human interpretation to analyze the clinically relevant variants. A lab tech can take the first pass at the output in the generated VarSeq project. They can perform the quality control and… Read more »
Examples of Clinical Variant Interpretation with VSClinical In this chapter, I’d like to go through a few examples for variants that have been classified with the help of VSClinical. This will give you a better understanding of how data sources are actually being represented in the software and how those are used to make decisions on applicable criteria. It goes… Read more »
Rules for Combining Various Classification Criteria Now that we have a solid understanding of how the various criteria are meant to be applied, it’s time to look at how the evidence collectively leads to the clinical categorization of a variant. Let’s go through the rule framework for combining the various criteria. Pathogenic In order for a variant to be classified… Read more »
Clinical Variant Analysis – Classification Criteria of Benign Variants The classification of benign variants is overall simpler and more straightforward, with the majority of benign variants being eliminated through allele frequency in various population catalogs. BA1 If a variant is common in one or more population catalog, as indicated by the allele frequency associated by the appropriate sub-population, it can… Read more »
Clinical Variant Analysis – Applying ACMG Guidelines to Analyze Germline Diseases The clinical interpretation of genetic variants is time-consuming and requires strict attention to detail. Clinicians must thoroughly review any variants that could potentially cause disease using a complex set of guidelines. There are guidelines for the interpretation of variants relating to hereditary risk, germline diagnostics issued by the American… Read more »
We are happy to announce that our latest version of SVS includes the ability to call CNVs on low read depth Whole Genome Sequencing (WGS) data. Designed for calling large cytogenetic events, this algorithm can detect chromosomal aneuploidy events and other large events spanning one or more bands of a chromosome from genomes with average coverage as low as 0.05x…. Read more »
This blog will conclude our VSClinical Best Practice Workflow series and focuses on one of our new reports: VSClinical ACMG Gene Panel Template. This template is valuable because it automatically enters your variant interpretation from the ACMG Guidelines into the report and eliminates the need for manual submission. I would like to explain how to properly implement this report into… Read more »
In part one of this series, we discussed how the ACMG Classifier can be implemented in your filter chain to support a best practice workflow. To continue our discussion on best practices of VSClinical, this blog will shed light on other attributes of VSClinical that can add support to your evaluation. Specifically, we will explore how VSClinical can help users… Read more »
This webcast generated a lot of great questions about the content covered in the video above. I have summarized our Q&A session below and included some questions I didn’t have time to answer during the live event. If you have any further questions, reach out to us at info@goldenhelix.com! Q: Can I upload my existing classifications into a consortium source?… Read more »
In the first two parts of this blog, we presented examples of how to leverage Warehouse-stored VSClinical and CNV assessment catalogs in the VarSeq project. Now we are going to explore the Warehouse interface a bit more and show how to query on stored variant data. To access Warehouse from VarSeq, click the V Connect icon located in the top… Read more »
Part 1 of this blog series was focused on new capabilities in Warehouse to store your CNV results. We explored some approaches of how to utilize assessment catalogs of cohort and known pathogenic events. What makes Warehouse so useful in this application is that the catalog is accessed from one central location and ensures every user is leveraging the same… Read more »
We recently hosted a webcast covering the value and application of VSWarehouse through VarSeq. Not only is VSWarehouse a solution for storing your NGS data in a central repository, but it also provides a means to enhance the tertiary analysis done in VarSeq. VSWarehouse will store all your sample/variant data but also stores your catalogs of pathogenic variants, clinical reports, and has the capability of filtering/querying on all your stored data quickly. In addition,… Read more »
This webcast generated some great questions! If you have any other questions for me that are not answered below, please feel free to ask those by emailing support@goldenhelix.com. To what level does the Warehouse scale? We have tested multiple instances of Warehouse in-house and on the cloud and it scales incredibly well to tens of thousands of samples and 100s… Read more »
