Generalized progressive retinal atrophy of Sloughi dogs is due to an 8-bp insertion in exon 21 of the PDE6B gene
Bibliographic record
Abstract
We investigated the gene encoding the beta subunit of cGMP phosphodiesterase (PDE6B) as a candidate for generalized progressive retinal atrophy (gPRA), an autosomal recessively transmitted eye disease in dogs. The PDE6B gene was isolated from a genomic library. Single-strand conformation polymorphism analysis revealed eight intronic variations in different subsets of the 14 dog breeds investigated. In addition, we identified an 8-bp insertion after codon 816 in certain Sloughi dogs. Analysis of PRA-affected and obligatory carrier Sloughis showed that this mutation cosegregates with disease status in a large pedigree. All other exchanges identified were not located in functionally relevant parts of the gene (e.g., in the splice signal consensus sites). In most dog breeds (Labrador retriever, Tibetan mastiff, dachshund, Tibetan terrier, miniature poodle, Australian cattle dog, cocker spaniel, collie, Saarloos wolfhound, Chesapeake Bay retriever, and Yorkshire terrier), PDE6B was excluded as a candidate gene for gPRA because heterozygous allele constellations were detected in diseased animals. Therefore, the PDE6B sequence variations did not segregate together with the mutation(s) causing gPRA. Direct and indirect DNA tests concerning gPRA can be offered now for a variety of different dog breeds.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".