
Advance your skills in genetic interpretation through the intermediate track, covering NGS analysis workflow, bioinformatics files, variant databases, and ACMG-guided interpretation of SNVs and INDELs with case-based practice.
Trace the end-to-end NGS data analysis workflow from BCL to FASTQ, read alignment, and variant calling, then annotate variants with VEP and tools like REVEL, 3Cnet, and SpliceAI.
Explore how gnomAD, ClinVar, OMIM, and PubMed support genetic variant interpretation by assessing population frequencies, pathogenicity, gene-disease links, and relevant literature for clinical diagnosis.
Explore how the ACMG/AMP guidelines standardize SNV/INDEL interpretation with a 5-tier system (pathogenic to benign), using population, functional, and computational evidence and 28 criteria, including PM2, PVS1, PS1.
Remind and apply the ACMG/AMP guidelines to interpret SNPs and indels with the 28 criteria and the five-tier system in real-world case examples.
Assess a nonsense ARID1B variant in Coffin-Siris syndrome to apply ACMG criteria, confirm loss-of-function as a disease mechanism, and classify as pathogenic using PVS1, PM2, PM6, and PP5.
Analyze case study 2's PKD1 in-frame 12-base deletion absent in gnomAD, applying PM2 and PM4, with ClinVar notes and ACMG rules suggesting possible reclassification.
Assess a novel Arg to Gly missense variant at PRPF8 codon 2310, associated with retinitis pigmentosa 13, as pathogenic using PM2, PM5, PP2, PP3, with REVEL 0.87 and 3Cnet 0.98.
Apply ACMG guidelines to classify a pathogenic GBA1 missense variant (Asn409Ser) in Gaucher disease, supported by functional assays, TIM barrel domain context, in trans configuration, and in silico predictions.
This course is designed for physicians and healthcare professionals who already have a basic understanding of genetic testing and are ready to move to the next level. If you're starting to face NGS reports in your practice and want to interpret them more confidently, this is the course for you.
You'll begin with a high-level overview of the genetic data pipeline—from FASTQ to variant annotation—so you can understand how raw data becomes clinical insight.
Then, we’ll dive into essential interpretation tools like ClinVar, OMIM, gnomAD, and Variant Validator, showing you how to apply them in real clinical scenarios.
A major focus is placed on mastering the ACMG guidelines, with structured lectures on SNV and Indel interpretation. Through multiple real-world examples, you'll learn how to classify variants and avoid common pitfalls. The final session brings everything together with practical test cases, helping you apply what you've learned in a hands-on way.
Whether you’re consulting on rare disease cases or preparing for more advanced genetic testing, this course builds a rock-solid foundation in variant interpretation. We designed it to be clear, practical, and immediately useful—so you can turn complex data into meaningful care decisions.
Let us help you level up your skills, one variant at a time.