Associated Papers
Molecular analysis of severe hemophilia B in Indian families: Identification of mutational hotspot and novel variants.
Agrawal N et al.
International Journal of Laboratory Hematology, 2022
F9 missense mutations impairing factor IX activation are associated with pleiotropic plasma phenotypes.
Branchini A et al.
Journal of Thrombosis and Haemostasis : Jth, 2022
A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations.
Lopes TJS et al.
Frontiers in Bioinformatics, 2022
36304295 (PubMed )
Supplement: DataSheet1.zip › Supplementary_Table_5_-_Disambiguate.xlsx › Predictions
Role of Splicing Regulatory Elements and In Silico Tools Usage in the Identification of Deep Intronic Splicing Variants in Hereditary Breast/Ovarian Cancer Genes.
Moles-Fernández A et al.
Cancers, 2021
34283047 (PubMed )
Supplement: cancers-13-03341-s001.zip › 2_Supplementary_table_S2A_2B.xlsx › Suppl_Table_2A
Splicing dysregulation contributes to the pathogenicity of several F9 exonic point variants.
Katneni UK et al.
Molecular Genetics & Genomic Medicine, 2019
31257730 (PubMed )
Supplement: MGG3-7-e840-s002.xls › F9_Splicing_Data
A new in silico approach to investigate molecular aspects of factor IX missense causative mutations and their impact on the hemophilia B severity.
Meireles MR et al.
Human Mutation, 2019
A genetic analysis of 23 Chinese patients with hemophilia B.
Wang QY et al.
Scientific Reports, 2016
The CDC Hemophilia B mutation project mutation list: a new online resource.
Li T et al.
Molecular Genetics & Genomic Medicine, 2013
24498619 (PubMed )
Supplement: mgg30001-0238-SD1.xlsx › CHBMP_Mutation_List
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