AutoCNV

AutoCNV performs clinical interpretation of constitutional copy number variants (CNVs), evaluating copy number loss and gain according to the 2019 ACMG/ClinGen technical standards.


Key Features:

  • Standards compliance: Implements the 2019 American College of Medical Genetics and Genomics (ACMG) and ClinGen technical standards for CNV interpretation.
  • Scoring criteria: Automatically scores CNVs using 18 criteria for copy number loss and 16 criteria for copy number gain.
  • Semiautomatic processing: Provides semiautomatic handling of constitutional CNV evidence combining automated scoring with workflowed evaluation.
  • Performance validation: Matched independent reviewer classifications 100% in a set of 72 CNVs and aligned 95% with ClinGen-verified classifications in example cases.
  • Processing speed: Processes each CNV in under five milliseconds.
  • Database-scale application: Applied to interpret CNVs from ClinVar and dbVar.

Scientific Applications:

  • Clinical CNV interpretation: Interprets constitutional CNVs (copy number loss and gain) for clinical variant classification following ACMG/ClinGen guidelines.
  • Benchmarking and validation: Validates CNV classifications against independent reviewer assessments and ClinGen-verified cases.
  • Large-scale annotation: Enables high-throughput interpretation and annotation of CNVs from databases such as ClinVar and dbVar.
  • Rapid genomic analyses: Supports fast decision-making in genomic studies through sub-5 ms per-CNV processing.

Methodology:

Automated scoring based on the ACMG/ClinGen 2019 criteria using 18 loss-specific and 16 gain-specific criteria in a semiautomatic workflow that outputs CNV classifications.

Topics

Details

Tool Type:
web application
Programming Languages:
Python
Added:
3/28/2022
Last Updated:
3/28/2022

Operations

Publications

Fan C, Wang Z, Sun Y, Sun J, Liu X, Kang L, Xu Y, Yang M, Dai W, Song L, Wei X, Xiang J, Huang H, Zhou M, Zeng F, Huang L, Xu Z, Peng Z. AutoCNV: a semiautomatic CNV interpretation system based on the 2019 ACMG/ClinGen Technical Standards for CNVs. BMC Genomics. 2021;22(1). doi:10.1186/s12864-021-08011-4. PMID:34615484. PMCID:PMC8496072.

PMID: 34615484
PMCID: PMC8496072
Funding: - Special Foundation for High-level Talents of Guangdong: 2016TX03R171

Documentation

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