Associated Papers
Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease.
Serghini A et al.
Human Molecular Genetics, 2024
37883464 (PubMed )
Supplement: supplementary_tables_marked_edit_ddad181.xlsx › Supplementary_Table_1
Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.
Chiorean A et al.
Human Mutation, 2022
35475554 (PubMed )
Supplement: HUMU-43-1268-s002.xlsx › Data_1
Algorithmic assessment of missense mutation severity in the Von-Hippel Lindau protein.
Fields FR et al.
Plos One, 2020
Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors.
Minervini G et al.
Plos Computational Biology, 2019
30943211 (PubMed )
Supplement: pcbi.1006478.s001.xlsx › AlignGVGD
An integrated computational approach can classify VHL missense mutations according to risk of clear cell renal carcinoma.
Gossage L et al.
Human Molecular Genetics, 2014
24969085 (PubMed )
Supplement: supp_ddu321_ddu321supp_table.xlsx › Supplementary_Table_2A
Integrative genetic characterization and phenotype correlations in pheochromocytoma and paraganglioma tumours.
Crona J et al.
Plos One, 2014
Endocrine pancreatic tumors in von Hippel-Lindau disease: clinical, histological, and genetic features.
Corcos O et al.
Pancreas, 2008
Genotype-phenotype correlation in von Hippel-Lindau families with renal lesions.
Gallou C et al.
Human Mutation, 2004
[Neuro-endocrine tumors and von Hippel-Lindau disease. 3 cases].
Aubert-Petit G et al.
Presse Medicale (paris, France : 1983), 1999
[Von Hippel-Lindau disease: recent genetic progress and patient management. Francophone Study Group of von Hippel-Lindau Disease (GEFVH)].
Richard S et al.
Annales D'endocrinologie, 1998
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