Coexisting congenital dysfibrinogenemia with a novel mutation in fibrinogen γ chain (γ322 Phe→Ile, Fibrinogen Beijing) and haemophilia B in a family
Bibliographic record
Abstract
INTRODUCTION: Both congenital dysfibrinogenemia and haemophilia B (HB) are rare coagulopathies caused by mutations within the fibrinogen and F9 genes respectively. AIM: To investigate the pathogenesis of combined dysfibrinogenemia with HB in a family. METHODS: Coagulation assays, factor IX (FIX) activity (one-stage method), fibrinogen activity (Clauss method), antigen (immunoturbidimetry), fibrinogen polymerization and fibrinolysis velocity were measured. The sequences of fibrinogen genes and F9 were amplified by PCR and analysed by sequencing. RESULTS: The proband, a 16-year-old boy with HB (FIX 2 IU dL(-1) ), also had persistently low Clauss fibrinogen level (0.64-0.65 g L(-1) ) with normal antigen level (2.23 g L(-1) ). The mother had a FIX 45 IU dL(-1) and similarly discrepant low Clauss fibrinogen (0.79 g L(-1) ) to antigen levels (2.23 g L(-1) ). Thrombin time for both were either slightly prolonged or at boundary value. Genetic analysis of the proband and the mother identified similar mutations in the FGG gene (heterozygous c.1042T>A resulting in p.Phe348Ile or γPhe322Ile in the mature protein) and in the F9 gene (c.1243del p.His415Metfs*11 and c.1245T>A p.His415Gln). The father had no fibrinogen or F9 gene mutations. Plasma fibrinogen polymerization was delayed, but fibrinolysis velocity was normal in the proband and his mother. CONCLUSION: To our knowledge, this is the first report of a family with combined novel dysfibrinogen (Fibrinogen Beijing) and HB with bleeding manifestations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".