A frameshift deletion in<i>F8</i>associated with hemophilia A in Labrador Retriever dogs
Bibliographic record
Abstract
Hemophilia A is the most common inherited coagulation factor disorder in dogs. It manifests as excessive bleeding resulting from pathogenic variants in the X-chromosomal F8 gene encoding coagulation factor VIII (FVIII) protein. In this study, we performed careful clinical phenotyping to confirm hemophilia A in two distinct Labrador Retriever (LR) pedigrees. Whole-genome sequencing on an affected dog from litter 1 identified a case-specific frameshift deletion variant in F8 predicted to cause a premature stop codon (c.2923_2924del, p.(E975Kfs*8)). This variant was hemizygous in all the affected males from litter 1 (n = 3), while all the unaffected LRs in the pedigree were heterozygous or wild-type (n = 22). Additionally, screened samples from 199 LRs were all found to be wild-type. As a result of this study, a gene test can now be developed to screen dogs before breeding to prevent further cases. However, it is important to note that the affected LR with decreased FVIII activity from litter 2 was wild-type for the identified deletion variant, and no segregating F8 variants were detected when this dog's DNA sample was whole-genome sequenced. Thus, the cause of decreased FVIII activity in this dog remains to be unraveled in future studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".