Tag Archives: AMP Guidelines

Limited-Time Offer for VSClinical’s Cancer Add-On

We are upgrading all VSClinical +Cancer Add-On purchases to a 15-months license! One license of VSClinical +AMP Guidelines – $17,995* Additional Users: $8,995* The individualized nature of tumors requires genomic testing for providing the best outcomes for patients. Next-Gen Sequencing enables the detection of small mutations, copy number changes, and common fusions affordably and with high precision. However, the interpretation… Read more »

Clinical Variant Analysis for Cancer: Part IV

Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants Somatic variants can manifest in different ways: Single Nucleotide Variants Indels Fusions and Copy Number Variations There is a difference between the interpretation of germline and somatic variants. The former is exclusively focused on establishing the level of pathogenicity vis a vis a particular disease. In contrast… Read more »

Clinical Variant Analysis for Cancer: Part III

Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants As described in my eBook “Genetic Testing for Cancer,” any bioinformatic pipeline for cancer ultimately calls variants based on the aligned reads that the sequencer generated. Variant calling is the process of reviewing a sequence alignment, typically in the form of a BAM file, to identify loci… Read more »

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 »