Functional Predictions and Conservation Scores in VSClinical Several algorithms have been developed to predict the impact of amino acid substitutions on protein function and quantify conservation of nucleotide positions. These methods provide vital supporting evidence to clinicians when interpreting variants in accordance with the ACMG guidelines. The two most popular functional prediction algorithms are SIFT and PolyPhen2, while the most… Read more »
There are many good reasons why the pursuit of the highest quality genomic interpretation would lead you to the latest human reference. It is more complete and fixes incorrect or partially missing genes that have known implications for human disease. While most major projects cataloging human populations have plans to re-do all their genomic alignments to the new human reference… Read more »
Interpretation of variants in accordance with the ACMG guidelines requires that variants near canonical splice boundaries be evaluated for their potential to disrupt gene splicing [1]. The five most common tools for splice site detection are NNSplice, MaxEntScan, GeneSplicer, HumanSplicingFinder, and SpliceSiteFinder-like. Because these algorithms have been made easily accessible in the bioinformatics tool Alamut, they have been canonized for… Read more »
Dr. Suzanne Lewis is a Clinical Professor in the Department of Medical Genetics at University of British Columbia (UBC) and Senior Investigator at British Columbia Children’s Hospital Research Institute (BCCHR), Vancouver, Canada. She is also the Chair of the iTARGET Autism Project and Vice-Chair of Autism Canada Chief Medical Officer and VP Research of Pacific Autism Family Network. She and… Read more »
In case you missed our live event yesterday, I wanted to share the Q&A session and a link to the webcast recording: An Exploration of Clinical Workflows in VarSeq. Question:You mentioned saving projects as templates, will it save GenomeBrowse plots in the project template or do you have to replot the data when opening the software? Answer: Yes, if you save your… Read more »
We have been heads down doing the detailed and careful work to improve our CNV caller algorithm in the past three months since our we launched our Exome capable CNV caller and are very excited about the massive step forward we have made with the VarSeq 1.4.5 release. Additionally, we have added the all new Whole Genome large-event caller capable… Read more »
Annotating with gnomAD: Frequencies from 123,136 Exomes and 15,496 Genomes When the Broad Institute team lead by Dan MacArthur announced at ASHG 2016 that the successor to the popular ExAC project (frequencies of 61,486 exomes) was live at http://gnomad.broadinstitute.org/, I thought their servers would have a melt-down as everyone immediately jumped on and started looking up their favorite genes and… Read more »
It may be possible to say that annotating a variant correctly and accurately against gene transcripts is the most important job of a variant annotation and interpretation tool. We take it very seriously at Golden Helix as we support VarSeq and its use by our customers in both research and clinical contexts. It has been a source of frustration that… Read more »
It may have been easy to miss in the drum-beat of monthly annotation updates we do here at Golden Helix, but there are a couple of things that are very special about the January update to the ClinVar database: We added new fields including HGVS names of variants and citations in PubMed for variants ClinVar nearly doubled in size by… Read more »
Dr. Laura Li and her colleagues at the Children’s Hospital Los Angeles (CHLA) are working to determine the underlying genetic causes of Optic Nerve Hypoplasia (ONH), which is still unclear. ONH is the absence or under-development of the optic nerve and is currently the leading ocular cause of vision impairments and blindness in young children. ONH can also be combined… Read more »
While clinical assessments of germline mutations have been collected in ClinVar under the stewardship of the NCBI and the collaborate effort of many testing labs, the same type of resource has been missing for mutations that could informal clinical care in Cancer. Or at least, that is what I thought until I started to work with CIViC. With the stewardship of… Read more »
Copy Number Variants have been important to clinical genetics for quite a while now. So, what has made now the right time to be looking at calling CNVs from NGS data? Well, there are a number of good reasons. The dominant one is simply that the NGS data you are already creating for calling variants can be used in many cases… Read more »
In our SVS 8.6.0 release, we updated our Annotate and Filter Variants feature to utilize our powerful VarSeq annotations. Annotations can be run against gene, interval, variant, and tabular tracks, including RefSeq, ClinVar, CADD, OMIM and OncoMD. The new streamlined dialog allows users to select track specific options and to set up custom filters. While our public annotation repository has… Read more »
There used to be much energy expended at conferences, bioinformatics forums and even publications about what was the better strategy for interpreting variants of clinical significance: Rule-based filtering and classification mechanisms or rank-based prioritization through all-encompassing “pathogenicity” scores. Both have shown to be effective. Rule-based systems, as exemplified in this filtering diagram in Baylor’s ground-breaking paper on clinical whole-exome sequencing… Read more »
Submit directly to N-of-One from VarSeq If you or your lab uses N-of-One solutions for clinical annotations, here’s some good news: You can now submit directly to N-of-One from VarSeq! N-of-One’s set of preferred transcripts may differ from those outputted by our algorithms in VarSeq, so our solution was built with that in mind. Our slick, easy to use, and… Read more »
Clinical reports come in all shapes, sizes and flavors. With that in mind, our clinical reporting interface VSReports was built to be highly customizable and flexible. With a little Javascript and HTML know-how, your clinical reports can be customized to meet the needs and goals of your lab. With a little Javascript and HTML know how, you can customize yours as… Read more »
Recently, we were excited to find a new example data set for cancer gene panels. We have included this example data in the latest e-book by Dr. Andreas Scherer, Genetic Testing for Cancer as well as in the latest cancer webcast . This data is from Illumina’s MiniSeq sequencer and the TruSight Cancer panel. The BAM and VCF files for three samples… Read more »
As VarSeq continues its adoption amongst clinical labs and researchers looking for reproducible workflows for variant annotation, filtering and interpretation, we have continued to prioritize the addition of features to assess the quality of the upstream data at a variant, coverage and now sample level. The Importance of Quality Assurance Sample prep and sequencing problems are difficult to detect through the analysis… Read more »
Yesterday, it was my pleasure to share in a live webcast our integrated solution for genetic data warehousing, VSWarehouse. If you missed the webcast live, feel free to check out the recording. Although we had a great set of questions at the end of our presentation, we didn’t have time to answer all of them, so here is a selection of… Read more »
The most common use of the VarSeq Match Gene List algorithm of course is to determine if the variants in your data set are contained within your genes of interest. As an example of this, say you are working with a whole exome trio and only want to consider those variants that are contained within the 56 genes recommended by… Read more »
