AMLVaran

AMLVaran analyzes targeted next-generation sequencing (NGS) data to detect, filter, annotate, and report somatic variants for clinical interpretation in Acute Myeloid Leukemia (AML) and Myelodysplastic Syndromes (MDS).


Key Features:

  • Comprehensive Variant Analysis Workflow: Performs end-to-end processing from raw data to final report generation and supports selection among multiple variant calling tools.
  • Flexible and Customizable Filtering: Implements a dedicated filtering language (SSDL) for precise and reproducible management of variant lists.
  • Annotation and Reporting: Provides extensive variant annotation including curated hotspot regions and driver mutations and generates rule-based clinical diagnostic recommendations.
  • Validation Performance: Demonstrated sensitivity of 1.0 and a positive predictive value of 0.96 in validation using 402 AML and MDS samples.
  • Coverage Analysis and Reproducibility: Performs comprehensive coverage analysis and supports reproducible variant filtering.
  • Adaptability: Adaptable to different targeted panels or whole-exome data and applicable across various tumor entities.

Scientific Applications:

  • Clinical diagnostics: Enables detection and reporting of clinically relevant variants in AML and MDS diagnostic workflows.
  • Prognostic assessment and therapeutic strategy: Supports patient-specific variant interpretation to inform prognostic evaluation and therapeutic decision-making.
  • Oncology research: Facilitates targeted NGS-based studies for variant interpretation, hotspot analysis, and driver mutation characterization.

Methodology:

Raw data processing; selection among multiple variant calling tools; variant filtering using the SSDL language; annotation with curated hotspot regions and driver mutations; comprehensive coverage analysis; reproducible variant filtering; and generation of rule-based clinical reports.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Programming Languages:
JavaScript, PHP
Added:
1/18/2021
Last Updated:
1/23/2021

Operations

Publications

Wünsch C, Banck H, Müller-Tidow C, Dugas M. AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting. BMC Medical Genomics. 2020;13(1). doi:10.1186/s12920-020-0668-3. PMID:32019565. PMCID:PMC7001226.

PMID: 32019565
PMCID: PMC7001226
Funding: - The Royal Society: UF160138, UF160222 - European Cooperation in Science and Technology: CA17139

Links