ACMG Classifier

This algorithm computes classifications for each variant based on the ACMG guidelines. These classifications are based on evidence such as population frequencies, conservation scores, splice site algorithms, and functional predictions. The 33 criteria described by the ACMG guidelines are used as the basis for classification and the recommended criteria for each variant is presented alongside the classification.

Requirements

This algorithm requires that the VarSeq project contains at least one sample.

Options

This algorithm allows the user to specify the following options:

  • Internal Database of Classified Variant: Assessment catalog in which to store variant classifications.

Output

  • Gene Name: Name of the gene that the transcript is from.
  • Entrez Gene ID: Entrez (RefSeq) Gene ID of the gene.
  • Transcript Name: Transcript Name Field.
  • HGVS cDot: Coding position for scored variant.
  • HGVS pDot: Protien position for scored variant.
  • Sequence Ontology: The predicted interaction between the variant and transcript.
  • ACMG Classification Criteria: The ACMG classification crieria for each sample.
  • ACMG Classification Criteria Description: The reason each criteria for each ACMG classification was given to each sample.
  • Classification: Variant classification for the given sample, with consideration for previous classifications.
  • Auto Classification: Variant classification for the given sample, without consideration of previous classifications.
  • Previous Classification Count: Number of previous classifications.
  • Previous Classification: The previous classification for the variant.
  • Last Classification Date: Date of most recent classification for the variant.
  • Last Classification Date Unix: Date of most recent classification for the variant in Unix time.
  • Max Sub Population Freq Group Name: The name of the group with the highest reported frequency.
  • Max Allele Frequency: The allele frequency of the group with the highest reported frequency.
  • Max Allele Number: The total number of alleles in the group with the highest reported frequency.
  • Max Allele Count: The number of times this allele was found in the group with the highest reported frequency.