Genetic Variant Interpretation Tool
To aid our variant interpretation process, we created an openly-available online tool to efficiently classify variants based on the evidence categories outlined in the article: Richards, et al. Standards and guidelines for the interpretation of sequence variants. 2015. This site displays the evidence categories and descriptions from Table 3 and Table 4 with simple checkboxes for selecting appropriate criteria. The site then incorporates the algorithm in Table 5 to automatically assign the pathogenicity or benign impact based on the selected evidence categories. Since our process often requires analyzing multiple variants per patient, we have also allowed the option of aggregating each variant into an exportable table at the foot of the website for easy documentation of the variant review process for our records. Although this tool is based on the ACMG/AMP Standards and Guidelines, it is not affiliated with ACMG, AMP, or any of the authors of the publication.
Click here to order evidence by strength of criteriaPatient ID: Variant ID:
Population data
PS4 The prevalence of the variant in affected individuals is significantly increased compared with the prevalence in controlsComputational and predictive data
Functional data
Segregation data
De novo data
Allelic data
Other database data
Other data
Artifact data
Variant Classification:
| Variant | Effect | Evidence | To delete |
|---|
Please note that the text of the variant evidence has been pulled directly from Richards, et al. Genet Med. 2015 May;17(5). This site does not claim authorship of any of the variant evidence descriptions. This tool is based on the published ACMG/AMP Standards and Guidelines [Genet Med (2015)]. Anyone using this tool should be familiar with that publication. Individuals or institutions choosing to use this tool for clinical variant classification purposes assume legal responsibility for the consequences of its use. The authors make no warranty, express or implied, nor assume any legal liability or responsibility for any purpose for which the tool is used. Kleinberger JW, Maloney KA, Pollin TI, Jeng LJB (submitted). For use in publications, please contact: Linda Jeng, MD, PhD, FACMG ljeng@som.umaryland.edu