Tag Archives: How to

The New ACMG-Based Trio Tutorial

         April 3, 2020

Our Support Team curates a variety of tutorials to help orient new users to the capabilities of VarSeq. We are happy to announce the team’s new release of the trio tutorial that places emphasis on using the ACMG guidelines. This tutorial gives insight into the proper setup of pedigree structure as well as detailed descriptions of the filter containers and… Read more »

The New VSClinical ACMG Guidelines Tutorial

         November 21, 2019

Our tutorials are a popular resource for prospective users. We have added a tutorial to help introduce customers to the ease and utility of the ACMG Guidelines incorporated in VSClinical. The ACMG Guidelines are a collection of 33 criteria that are used to determine a variant’s level of pathogenicity. VSClinical and VarSeq make it easy for users to sort and… Read more »

All New VSClinical AMP Workflow Tutorial

         November 5, 2019

We have recently added a tutorial to help introduce customers to the ease and utility of the AMP Guidelines incorporated in VarSeq’s VSClinical package. The AMP Guidelines allow users to sort through available clinical evidence in a streamlined fashion to arrive at final classification and interpretation and then transfer that information into a clinical report. And the AMP Guidelines also… Read more »

Top-Quality GWAS Analysis: Part V

         January 28, 2019

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

         January 24, 2019

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

         January 22, 2019

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 »