Associated Papers
In-silico Analysis of NF1 Missense Variants in ClinVar: Translating Variant Predictions into Variant Interpretation and Classification.
Accetturo M et al.
International Journal of Molecular Sciences, 2020
31979111 (PubMed )
Supplement: ijms-21-00721-s001.zip › ijms-614345-supplementary_files › Supplementary_Table_S3.xlsx › Suppl._Table_S3
Genotype-Phenotype Correlation in NF1: Evidence for a More Severe Phenotype Associated with Missense Mutations Affecting NF1 Codons 844-848.
Koczkowska M et al.
American Journal of Human Genetics, 2018
29290338 (PubMed )
Supplement: mmc1.pdf
Structure-energy-based predictions and network modelling of RASopathy and cancer missense mutations.
Kiel C et al.
Molecular Systems Biology, 2014
24803665 (PubMed )
Supplement: MSB-10-5-727-s13.xls › energies
Automated comparative sequence analysis identifies mutations in 89% of NF1 patients and confirms a mutation cluster in exons 11-17 distinct from the GAP related domain.
Mattocks C et al.
Journal of Medical Genetics, 2004
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