Category Archives: VSClinical

Clinical Variant Analysis for Cancer: Part II

Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants Analogous to the ACMG guidelines for germline mutations, the Association for Molecular Pathologists (AMP) has issued guidelines to assess and report on somatic variants. The key paper in this area was published by Li et. al (2017) with the title “Standards and Guidelines for the Interpretation and… Read more »

Clinical Variant Analysis for Cancer: Part I

Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants Precision Medicine uses genetic information from individual patients. This may include the following areas: Diagnosis Treatment Prevention Specifically, in the cancer space, data derived from Next-Gen Sequencing (NGS) is used to diagnose and prognose diseases, select a targeted therapy and potentially evaluate the suitability of a patient… 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 »

Variant Interpretation with VSClinical: Clinical Example for Congenital Indifference to Pain

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 »

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 »