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
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
GESPA: classifying nsSNPs to predict disease association.
Khurana JK et al.
Bmc Bioinformatics, 2015
26206375 (PubMed )
Supplement: 12859_2015_673_MOESM2_ESM.xls › Sheet1
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
Computational detection of deleterious SNPs and their effect on sequence and structural level of the VHL gene.
Rajasekaran R et al.
Mammalian Genome : Official Journal of the International Mammalian Genome Society, 2008
Genotype-phenotype correlation in von Hippel-Lindau families with renal lesions.
Gallou C et al.
Human Mutation, 2004
[Von Hippel-Lindau disease: a hereditary disease that impacts multiple tissues].
Richard S et al.
Presse Medicale (paris, France : 1983), 1998
Germline mutation profile of the VHL gene in von Hippel-Lindau disease and in sporadic hemangioblastoma.
Olschwang S et al.
Human Mutation, 1998
Somatic inactivation of the VHL gene in Von Hippel-Lindau disease tumors.
Prowse AH et al.
American Journal of Human Genetics, 1997
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