Genetics in MedicineGenetic & Genomic MedicinePeer-reviewed journal article
Multi-Platform Curation in the Development of ACMG/AMP Specifications for Von Hippel Lindau (VHL) Disease
Deborah RitteriD, Chansonette Badduke, Kurston Doonanco, Hio Chung Kang, Tina F. PesaraniD, Sarah RiddiD, Clare Sheen, Kirsten M. FarncombeiD, Rachel H. GilesiD, Minjie LuoiD, Neta Pipko, Chung Ting Tsoi, Kelly McGoldrickiD, Chloe E. Mighton, Razan Abu Kashabeh, María Carolina Sanabria‐SalasiD, Yazan TalabiD, Kamalika Bhandari Deka, Michelle F. JacobsiD, Elif Tuzlali, Bailey GallingeriD, Malachi GriffithiD, Kilannin KrysiakiD, Jerry MachadoiD, Eamonn Richard MaheriD, , Raymond H. KimiD
Abstract
IntroductionThe Clinical Genome Resource (ClinGen) Von Hippel-Lindau (VHL) Variant Curation Expert Panel (VCEP) has created variant classification specifications tailored to the VHL gene, including phenotype-driven and evidence-based criteria, somatic and germline mutational hotspots, functional and in-silico data. Materials and MethodsUsing the American College of Medical Genetics and Genomics (ACMG) guidance and the ClinGen Sequence Variant Interpretation (SVI) recommendations, the VCEP made substantial modifications to eight evidence codes (PVS1, PS3, PS4, PM1, BS2, BS3, BS4, BP5), while 14 had minor or no changes and 6 were not used (PM3, PP2, BP1, PP4, PP5/BP6). The VHL VCEP applied two literature sets of over >428 papers in Clinical Interpretations of Variants in Cancer (CIViC) and >8700 structured annotations using Hypothesis. ResultsFrom 31 pilot variants, 15 remained pathogenic/likely pathogenic, 9 resolved to benign through the stand-alone benign evidence code and 7 variants with initial uncertain classifications, with many lacking additional literature, remained uncertain. ConclusionThe versioned VHL VCEP specifications are publicly available in the ClinGen Criteria Specifications Registry and will enhance the transparency and consistency of variant classifications for this highly sequenced hereditary cancer gene.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 2
- FWCI
- 7.91
- Field percentile
- top 5%
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