Tag Archives: Golden Helix

Genetic Testing for Cancer – New Version Release

Yesterday, I released a new version of my eBook, “Genetic Testing for Cancer – Third Edition”. We would be happy to send you one! To download a complimentary copy, please submit a request on our site here. In 1914, the German cytologist Theodor Boveri coined the phrase “Cancer is a disease of the genome.” At this time, his ideas were… Read more »

Variant Interpretation with VSClinical: Evaluation of an X-linked recessive mutation

Overview VSClinical enables users to evaluate variants according to the ACMG guidelines in a high-throughput fashion and obtain consistent results and accurate variant interpretations. This feature is tightly integrated into our VarSeq platform as well, and when paired together, users can evaluate NGS data and obtain clinical reports all in one suite. Coupled with the ability to find novel or… Read more »

Top 5 Features of Sentieon

      Will McDonald    April 23, 2019    No Comments on Top 5 Features of Sentieon
Sentieon

Sentieon develops bioinformatics secondary analysis tools to process genomic data with high computing efficiency, fast turnaround time, exceptional accuracy and 100% consistency. These features are what led to the partnership of Golden Helix and Sentieon to provide users with a comprehensive solution for genomic data analysis. This blog post gives readers a more detailed understanding of the top five features… Read more »

Automating Clinical Workflows: Part III

In the previous two articles, we explored the different steps of a clinical workflow. The first post covered the automated analysis that creates a VarSeq project. While the second post covered the interpretation steps and generation of a clinical report. These posts illustrated the ease with which these complex tasks can be carried out. Today we’ll dig a little bit… Read more »

Automating Clinical Workflows: Part II

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 »

Automating Clinical Workflows: Part I

Automating a clinical workflow creates a stable and repeatable clinical analysis. Automation reduces the potential to introduce human error, helps in regulatory compliance, and improves the precision of the clinical results. It is important to know that if you run a sample through your clinical pipeline, you are going to get the same results today as you will in 6… Read more »

2019 1st Place Abstract Competition Winner

CNV calling - Abstract Winner

Mark Trinder is our 2019 Abstract Competition 1st Place Winner. As we prepare for his upcoming webcast on April 10, 2019, we wanted to give our community a little bit of a background on him! Mark Trinder is an MD/Ph.D. student at the University of British Columbia, Canada working under the supervision of Dr. Liam Bruham. Mark’s research focuses on… Read more »

Golden Helix Receives NIH-SBIR Phase 2 Grant 2R44 GM128485-02

Golden Helix, Inc. has announced themselves as the recipient of an NIH SBIR Grant 2R44GM128485-02 entitled “Automated and Guided Workflows for Clinical Testing Using NGS Assays.” “With the help of this grant, we will take the clinical automation of NGS data to the next level, focusing on germline diseases and cancer diagnostics,” states Andreas Scherer, Ph.D., President, and CEO of… Read more »

Recent Customer Publications

customer

This year has been full of excitement for our team, and customers as well; we have a plethora of recently published articles citing Golden Helix! We would like to congratulate everyone on their success. Please enjoy these features articles, or see the full list here. SNP & Variation Suite Di Gerlando, R.; Mastrangelo, S.; Sardina, M.T.; Ragatzu, M.; Spaterna, A.;… Read more »

Clinical Variant Analysis: Part V

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 »

Clinical Variant Analysis: Part IV

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: Part III

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 »

2019 Abstract Competition Winners

Call for Abstracts

We would like to thank everyone who entered our 2019 Abstract Competition. This event is an excellent opportunity for our team to hear the unique ways Golden Helix software is being applied around the world. We had a number of remarkable entries this year which made our selection process a daunting one, indeed. It is my pleasure to announce this… Read more »

Clinical Variant Analysis: Part II

Clinical Variant Analysis – Classification Criteria of Pathogenic Variants The ACMG Guidelines are utilized for the interpretation of variants. They are primarily applied to diagnose suspected inherited (primarily Mendelian) disorders in a clinical diagnostic laboratory setting. While evaluating variants no matter what the origin, it is important to distinguish between variants that are pathogenic (i.e., causative) for a disease and a… Read more »

Clinical Variant Analysis: Part I

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 »

New eBook Release: Clinical Variant Analysis

I am excited to announce the release of my new eBook “Clinical Variant Analysis – Applying ACMG Guidelines to Analyze Germline Diseases“! You can download your complimentary by clicking on the button below. The clinical interpretation of variants in Next-Gen Sequencing is a quickly evolving field. While the body of knowledge is growing exponentially, experts have to derive sound, clinical decisions leveraging an… Read more »

How To: VarSeq VCF Import

      Darby Kammeraad    February 5, 2019    No Comments on How To: VarSeq VCF Import
annotate

The Beginning of Your Tertiary Analysis VarSeq is designed to be your NGS tertiary analysis solution providing users simple but in-depth means of exploring gene panel, exome, and whole genome variants. For those not accustomed to the VarSeq software, the main import file for variant analysis is the VCF. Those who are familiar with the VCF know that there can… Read more »

Top-Quality GWAS Analysis: Part V

      Eli Sward    January 28, 2019    No Comments on Top-Quality GWAS Analysis: Part V

As our final part of the ‘Top-Quality GWAS Analysis’ blog series, we will be giving a summary of the values behind GWAS quality control and quality assessment. Performing GWAS can provide insight into the association of genetic variants with traits and complex disorders. Any novel insights into marker-phenotype associations need to be based on performing quality control steps. In this… Read more »

Top-Quality GWAS Analysis: Part IV

Population Stratification This article is going to cover how to factor for population stratification in your association test to continue our blog series on top quality GWAS analysis (additional articles for this series are located at the bottom of this blog). Quality control steps up to this point have included assessing sample and marker statistics, LD pruning on markers, and… Read more »

Top-Quality GWAS Analysis: Part III

      Eli Sward    January 22, 2019    No Comments on Top-Quality GWAS Analysis: Part III

Sample Relatedness Pruning your data based on Linkage Disequilibrium (LD) values and filtering for sample “relatedness” are ideal quality assurance steps following the marker and sample quality filtering described in Part II of this blog series. The value of running an Identity by Decent estimation not only allows you to factor family relatedness in your samples but makes screening for… Read more »