Associated Papers
Identification of Pathogenic Missense Mutations of NF1 Using Computational Approaches.
Chen J et al.
Journal of Molecular Neuroscience : Mn, 2024
39373898 (PubMed )
Supplement: 12031_2024_2271_MOESM1_ESM.docx
Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia.
Cheng WY et al.
Proceedings of the National Academy of Sciences of the United States of America, 2022
36442087 (PubMed )
Supplement: pnas.2211429119.sd02.xlsx › snv_indel
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
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
Neurofibromatosis type I: mutation spectrum of NF1 in spanish patients.
Palma Milla C et al.
Annals of Human Genetics, 2018
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
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