Human MutationGenetic & Genomic MedicinePeer-reviewed journal article
SPECIFICATIONS OF THE ACMG/AMP VARIANT CURATION GUIDELINES FOR MYOCILIN: RECOMMENDATIONS FROM THE CLINGEN GLAUCOMA EXPERT PANEL
Kathryn P. BurdoniD, Patricia S. GrahamiD, Johanna S. Hadler, John D. HullemaniD, Francesca PasuttoiD, Erin A. BoeseiD, Jamie E. CraigiD, John H. FingertiD, Alex William HewittiD, Owen M. SiggsiD, Kristina N. WhisenhuntiD, Terri L. YoungiD, David Anthony MackeyiD, Andrew DubowskyiD, Emmanuelle SouzeauiD
Abstract
The standardization of variant curation criteria is essential for accurate interpretation of genetic results and clinical care of patients. The variant curation guidelines developed by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) in 2015 are widely used but are not gene specific. To address this issue, the Clinical Genome Resource (ClinGen) Variant Curation Expert Panels (VCEP) have been tasked with developing gene-specific variant curation guidelines. The Glaucoma VCEP was created to develop rule specifications for genes associated with primary glaucoma, including myocilin (MYOC), the most common cause of Mendelian glaucoma. Of the 28 ACMG/AMP criteria, the Glaucoma VCEP adapted 15 rules to MYOC, and deemed 13 rules not applicable. Key specifications included determining minor allele frequency thresholds, developing an approach to counting probands and segregations, and reviewed functional assays. The rules were piloted on 81 variants and led to a change in classification in 38% of those that were classified in ClinVar with functional evidence influencing the classification of 18 variants. The standardized variant curation guidelines for MYOC provide a framework for the consistent application of the rules between laboratories, to improve MYOC genetic testing in the management of glaucoma.
- organism: human
- assay: GWAS summary statistics
- research focus: variant effect prediction
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 28
- FWCI
- 3.77
- Field percentile
- top 5%
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