Associated Papers
Algorithmic assessment of missense mutation severity in the Von-Hippel Lindau protein.
Fields FR et al.
Plos One, 2020
33151962 (PubMed )
Supplement: pone.0234100.s006.xlsx › Missense_Mutations_Weighted
Identification of Circulating Genomic and Metabolic Biomarkers in Intrahepatic Cholangiocarcinoma.
Winter H et al.
Cancers, 2019
31795195 (PubMed )
Supplement: cancers-11-01895-s001.zip › ICC_ctDNA_Cancers_Supplementary_Table_5._50_cancer_gene_panel_information.xlsx › cms_106003
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
Mutation of the von Hippel-Lindau (VHL) gene in human colorectal carcinoma: association with cytoplasmic accumulation of hypoxia-inducible factor (HIF)-1alpha.
Kuwai T et al.
Cancer Science, 2004
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