Management of Gene Variants of Unknown Significance: Analysis Method and Risk Assessment of the VHL Mutation p.P81S (c.241C>T)

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Alosi, Daniela
  • Marie Luise Bisgaard
  • Sophie Nowak Hemmingsen
  • Lotte Nylandsted Krogh
  • Hanne Birte Mikkelsen
  • Marie Louise Molgaard Binderup
Background: Evaluation of the pathogenicity of a gene variant of unknown significance (VUS) is crucial for molecular diagnosis and genetic counseling, but can be challenging. This is especially so in phenotypically variable diseases, such as von Hippel-Lindau disease (vHL). vHL is caused by germline mutations in the VHL gene, which predispose to the development of multiple tumors such as central nervous system hemangioblastomas and renal cell carcinoma (RCC). Objective: We propose a method for the evaluation of VUS pathogenicity through our experience with the VHL missense mutation c.241C>T (p.P81S). Method: 1) Clinical evaluation of known variant carriers: We evaluated a family of five VHL p.P81S carriers, as well as the clinical characteristics of all the p.P81S carriers reported in the literature; 2) Evaluation of tumor tissue via genetic analysis, histology, and immunohistochemistry (IHC); 3) Assessment of the variant’s impact on protein structure and function, using multiple databases, in silico algorithms, and reports of functional studies. Results: Only one family member had clinical signs of vHL with early-onset RCC. IHC analysis showed no VHL protein expressed in the tumor, consistent with biallelic VHL inactivation. The majority of in silico algorithms reported p.P81S as possibly pathogenic in relation to vHL or RCC, but there were discrepancies. Functional studies suggest that p.P81S impairs the VHL protein’s function. Conclusion: The VHL p.P81S mutation is most likely a low-penetrant pathogenic variant predisposing to RCC development. We suggest the above-mentioned method for VUS evaluation with use of different methods, especially a variety of in silico methods and tumor tissue analysis.
OriginalsprogEngelsk
TidsskriftCurrent Genomics
Vol/bind18
Udgave nummer1
Sider (fra-til)93-103
Antal sider11
ISSN1389-2029
DOI
StatusUdgivet - 2017

ID: 173130358