Cancer Predisposition Sequencing Reporter (CPSR)

Cancer Predisposition Sequencing Reporter (CPSR) interprets and classifies germline DNA variants from next-generation sequencing data to identify variants associated with inherited cancer predisposition.


Key Features:

  • ACMG-Based Variant Classification: Classifies germline variants using more than 30 criteria derived from American College of Medical Genetics and Genomics (ACMG) guidelines.
  • Cancer Predisposition Gene Reporting: Generates reports for germline variants detected in known cancer predisposition genes.
  • Virtual Gene Panel Selection: Supports analysis using more than 40 expert-curated virtual gene panels for inherited cancer screening.
  • Incidental Finding Identification: Reports incidental germline variants according to ACMG v3.0 recommendations.
  • GWAS Risk Variant Annotation: Annotates germline variants associated with cancer risk using data from the NHGRI-EBI GWAS Catalog.

Scientific Applications:

  • Inherited Cancer Genomics: Identifies germline variants associated with hereditary cancer syndromes.
  • Clinical Genomic Interpretation: Supports interpretation of germline variants for diagnostic, prognostic, and therapeutic relevance.
  • Precision Oncology Research: Analyzes germline variants in genes involved in cancer susceptibility and DNA repair pathways.

Methodology:

CPSR analyzes germline variants detected from next-generation sequencing data, annotates variants using curated cancer predisposition gene panels and GWAS datasets, and applies ACMG guideline-based criteria to classify variants and generate structured reports.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool, workflow
Programming Languages:
R, Python
Added:
1/14/2020
Last Updated:
4/18/2022

Operations

Publications

Nakken S, Saveliev V, Hofmann O, Møller P, Myklebost O, Hovig E. Cancer Predisposition Sequencing Reporter ( <scp>CPSR</scp> ): A flexible variant report engine for high‐throughput germline screening in cancer. International Journal of Cancer. 2021;149(11):1955-1960. doi:10.1002/ijc.33749. PMID:34310709.

PMID: 34310709
Funding: - Norges Forskningsråd: 221580

Documentation

Downloads

Links

Related Tools

pcgr
Relation: uses