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Publication Detail
An interactive mutation database for human coagulation factor IX provides novel insights into the phenotypes and genetics of hemophilia B.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Rallapalli PM, Kemball-Cook G, Tuddenham EG, Gomez K, Perkins SJ
  • Publication date:
  • Pagination:
    1329, 1340
  • Journal:
    J Thromb Haemost
  • Volume:
  • Issue:
  • Status:
  • Country:
  • Language:
  • Keywords:
    bioinformatics, coagulation factor IX, database, hemophilia B, models, molecular, mutations, phenotypes, Amino Acid Sequence, Blood Coagulation, Computational Biology, Crystallography, X-Ray, DNA Mutational Analysis, Databases, Genetic, Factor IX, Factor IXa, Genetic Predisposition to Disease, Hemophilia B, Humans, Models, Molecular, Molecular Sequence Data, Mutation, Phenotype, Polymorphism, Genetic, Protein Conformation, Severity of Illness Index, Structure-Activity Relationship
BACKGROUND: Factor IX (FIX) is important in the coagulation cascade, being activated to FIXa on cleavage. Defects in the human F9 gene frequently lead to hemophilia B. OBJECTIVE: To assess 1113 unique F9 mutations corresponding to 3721 patient entries in a new and up-to-date interactive web database alongside the FIXa protein structure. METHODS: The mutations database was built using MySQL and structural analyses were based on a homology model for the human FIXa structure based on closely-related crystal structures. RESULTS: Mutations have been found in 336 (73%) out of 461 residues in FIX. There were 812 unique point mutations, 182 deletions, 54 polymorphisms, 39 insertions and 26 others that together comprise a total of 1113 unique variants. The 64 unique mild severity mutations in the mature protein with known circulating protein phenotypes include 15 (23%) quantitative type I mutations and 41 (64%) predominantly qualitative type II mutations. Inhibitors were described in 59 reports (1.6%) corresponding to 25 unique mutations. CONCLUSION: The interactive database provides insights into mechanisms of hemophilia B. Type II mutations are deduced to disrupt predominantly those structural regions involved with functional interactions. The interactive features of the database will assist in making judgments about patient management.
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