We’re excited to announce the release of gnomAD 4.1 variant frequencies as an annotation track in VarSeq. This latest release addresses key issues from previous versions and introduces joint variant frequencies curated directly from gnomAD. Additionally, we’ve refined our liftover process, offering more accurate GRCh37 tracks. By incorporating this data into the VarSeq data source library, we provide users with… Read more »
In a recent blog post, we explored how phased genotypes provide crucial insights by separating variants into distinct haplotypes—groups of alleles inherited together from a single parent. We also discussed how the combined impact of multiple variants within the same gene can significantly differ from their individual effects. However, accurately assessing the joint impact of these in-phase variants is a… Read more »
Phased genotypes provide crucial information that allows us to separate variants into distinct haplotypes, representing the sequence of alleles inherited together from a single parent. This information can offer profound insights into inheritance patterns, the combined functional effects of variants, and the identification of specific genetic profiles such as pharmacogenomic diplotypes. In this blog post we describe how phased genotypes… Read more »
The PGx Variant Detection and Recommendations algorithm is the driving force behind the pharmacogenomic analysis capabilities provided by VSPGx in VarSeq. This algorithm is used to identify pharmacogenomic diplotypes and annotate them against drug recommendations. In this blog post, we outline the steps involved in the process and explain the annotation tracks utilized by the algorithm at each stage of… 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 »
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 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 »
We are excited to announce the release of our gnomAD v4 annotation tracks for VarSeq. This version of the GnomAD database represents a significant leap forward, including data from an impressive cohort of over 800,000 individuals — a remarkable 5x expansion compared to the previous releases. Notably, this dataset is comprised of two distinct callsets: exome sequencing data from 730,947… Read more »
Last month, the researchers at Google DeepMind announced the release of AlphaMissense, a new missense prediction algorithm that leverages the protein structure prediction model AlphaFold to distinguish between benign and pathogenic missense variants (Cheng et al., 2023). AlphaFold is a model for the prediction of protein structures from amino acid sequences. During the development of AlphaMissense, the AlphaFold model was… Read more »
Traditionally genetic tests in cancer have focused on small gene panels that restrict their analysis to a small number of well-studied cancer genes. However, as sequencing costs have decreased, many clinical laboratories have embraced comprehensive genomic profiling tests that rely on whole exome and whole genome next-generation sequencing (NGS) workflows, which can detect millions of high-quality variants for a single… Read more »
While the analysis of gene fusions is crucial for understanding the genetic basis of cancer, the process of interpreting these mutations can be challenging. One important component of fusion interpretation is the identification of relevant publications. To aid researchers in the search for publications related to specific gene fusions, Felix Mitelman, and colleagues have created the Mitelman Database of Chromosome… Read more »
The AMP guidelines workflow in VSClinical provides a user-friendly tool for the interpretation of somatic biomarkers across the entire spectrum of genomic variation. One of the most useful features of this workflow is its ability to streamline the evaluation of clinical evidence for a somatic biomarker using the AMP Tier evidence levels. The AMP Guidelines classify a biomarker into one… Read more »
Unlock the potential of VarSeq for efficient analysis of structural variants, providing robust annotation, filtering, and interpretation of intricate genetic variations. While the analysis of structural variants (SVs) is crucial for understanding the genetic basis of disease, the process of interpreting these variations can be a challenging and complex task. Structural variant callers typically store rearrangements in VCF files, which… Read more »
Unlocking the intricacies of fusion representations is crucial for understanding the impact of complex genetic rearrangements on gene function and disease development. In the most recent release of VarSeq, we added support for the import of complex rearrangements from VCF files, which typically encode rearrangements using breakend notation. This powerful notation is capable of describing the full spectrum of structural… Read more »
Discover the innovative clinical evidence search of the VSClinical AMP workflow, where patient biomarkers and tumor types are matched to the most relevant data from top sources like CIViC, DrugBank, and Clinical Trials. One of the core features of the VSClinical AMP interpretation workflow is the ability to search third-party data sources to find clinical evidence that matches the patient’s… Read more »
Learn about the latest cancer ontology software updates and how they can enhance your research and work. Cancer Ontology An important feature of the VSClinical AMP workflow is the ability to select the correct tumor type for a given evaluation. The selected tumor type is used to identify relevant clinical evidence, including drug sensitivities, resistances, and previous biomarker interpretations. This… Read more »
Thank you to everyone who joined us for our webcast on the upcoming VarSeq features supporting the full spectrum of genomic variation! Traditionally, NGS cancer testing started with small gene panels that looked at a small set of the most common genes to identify small mutations, such as BRAF V600E. However, there are many classes of mutation that cannot be… Read more »
While the interpretation of germline variants generally focuses on the pathogenicity of a variant for a specific disease, the interpretation of somatic variants is centered around each variant’s impact on clinical care. As a result, clinical trials play an important role in assessing the clinical significance of somatic biomarkers, with the AMP Guidelines assigning a higher level of evidence to… 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 »
In order to thoroughly assess a variant’s pathogenicity, it is important to take into account the variant’s effect on splicing. While the interpretation of variants that disrupt the pairs of bases at the beginning of a splice site is fairly straightforward, variants resulting in the introduction of a novel splice site are more difficult to interpret. In this blog post,… Read more »
