ArticleHuman mutation2022
Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.
Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Pooled it
- Recent advances in etiology and treatment of von Hippel-Lindau Disease (VHLD).Cancer metastasis reviews · 2026Review
- Multiplatform curation in the development of ACMG/AMP specifications for Von Hippel-Lindau (VHL) disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- Von Hippel-Lindau disease: pathophysiological and clinical advances.Familial cancer · 2026Review
- GA4GH phenopacket-driven characterization of genotype-phenotype correlations in Mendelian disorders.American journal of human genetics · 2026Article
- Pseudohypoxia caused by germline genetic alterations in the VHL gene is associated with increased diabetes and cardiovascular risk: a UK biobank study.Cardiovascular diabetology · 2025Article
- Genotype-specific neoplastic risk profiles in patients with VHL disease.Endocrine-related cancer · 2025Observational
- Pathogenicity of germline VHL variants is associated with renal cell carcinoma size in von Hippel-Lindau disease.Archives of endocrinology and metabolism · 2025Article
- Neuroendocrine Tumors: Germline Genetics and Hereditary Syndromes.Current treatment options in oncology · 2025Review
- Familial and early recurrent pheochromocytoma in a child with a novel in-frame duplication variant ofClinical pediatric endocrinology : case reports and clinical investigations : official journal of the Japanese Society for Pediatric Endocrinology · 2024Article
- Developing a disease-specific annotation protocol for VHL gene curation using Hypothes.is.Database : the journal of biological databases and curation · 2023Article
- CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase.Nucleic acids research · 2023Article
- Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.Human mutation · 2022Article
Corrections and comments
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Authors and funding
25 authors at 6 institutions in 4 countries.
Funding
Abstract
Von Hippel-Lindau (VHL) disease is a hereditary cancer syndrome where individuals are predisposed to tumor development in the brain, adrenal gland, kidney, and other organs. It is caused by pathogenic variants in the VHL tumor suppressor gene. Standardized disease information has been difficult to collect due to the rarity and diversity of VHL patients. Over 4100 unique articles published until October 2019 were screened for germline genotype-phenotype data. Patient data were translated into standardized descriptions using Human Genome Variation Society gene variant nomenclature and Human Phenotype Ontology terms and has been manually curated into an open-access knowledgebase called Clinical Interpretation of Variants in Cancer. In total, 634 unique VHL variants, 2882 patients, and 1991 families from 427 papers were captured. We identified relationship trends between phenotype and genotype data using classic statistical methods and spectral clustering unsupervised learning. Our analyses reveal earlier onset of pheochromocytoma/paraganglioma and retinal angiomas, phenotype co-occurrences and genotype-phenotype correlations including hotspots. It confirms existing VHL associations and can be used to identify new patterns and associations in VHL disease. Our database serves as an aggregate knowledge translation tool to facilitate sharing information about the pathogenicity of VHL variants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.