Polymorphism in factor VII gene modifies phenotype of severe haemophilia
Bibliographic record
Abstract
The basis for 10-15% of patients with severe haemophilia having clinically mild disease is not fully understood. We hypothesized that polymorphisms in various coagulant factors may affect frequency of bleeding while functionally significant polymorphisms in inflammatory and immunoregulatory genes may also contribute to variations in the extent of joint damage. These variables were studied in patients with severe haemophilia, who were categorized as 'mild' (<5 bleeds in the preceding year, <10 World Federation of Haemophilia clinical and <10 Pettersson scores, n = 14) or 'severe' (all others, n = 100). A total of 53 parameters were studied in each individual for their association with the clinical severity. Age, F8:c activity and the incidence of thrombotic markers were comparable between the groups while the median number of bleeds, number of affected joints, clinical, radiological and functional joint scores (P < or = 0.001) and life-time clotting factor use (P < or = 0.007) were different. Patients with severe molecular defects had a 4.1-fold increased risk for a severe phenotype (95% CI: 1.18-14.42, P = 0.026) compared with other mutations. Of the polymorphisms studied, the FVII353Q (RR = 3.5, 95% CI: 1.04-12.05, P = 0.044) allele was associated with a severe phenotype. This data shows that apart from the F8/F9 genotype, functional polymorphisms in FVII gene affect the phenotype of patients with severe haemophilia.
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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) | 0.001 | 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".