Associated Papers
Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools.
Drost M et al.
Hgg Advances, 2026
40988334 (PubMed )
Supplement: mmc2.xlsx › Table_S1
Subtype distribution, clinical presentation, and molecular spectrum of neurofibromatosis type 1-associated breast cancer.
Di Giosaffatte N et al.
Breast (edinburgh, Scotland), 2025
41218342 (PubMed )
Supplement: mmc5.xlsx › Foglio1
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › NF1
Genotype-Phenotype Correlations in Neurofibromatosis Type 1: Identification of Novel and Recurrent NF1 Gene Variants and Correlations with Neurocognitive Phenotype.
Napolitano F et al.
Genes, 2022
Pathogenic neurofibromatosis type 1 (NF1) RNA splicing resolved by targeted RNAseq.
Koster R et al.
Npj Genomic Medicine, 2021
Performance Evaluation of SpliceAI for the Prediction of Splicing of NF1 Variants.
Ha C et al.
Genes, 2021
34573290 (PubMed )
Supplement: genes-12-01308-s001.zip › Table_S1.xlsx › NF1_Variants
Risk of Optic Pathway Glioma in Neurofibromatosis Type 1: No Evidence of Genotype-Phenotype Correlations in A Large Independent Cohort.
Melloni G et al.
Cancers, 2019
Clinical and Genetic Findings in Children with Neurofibromatosis Type 1, Legius Syndrome, and Other Related Neurocutaneous Disorders.
Giugliano T et al.
Genes, 2019
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