CTLA4 promoter polymorphisms are associated with canine diabetes mellitus
Bibliographic record
Abstract
Canine diabetes mellitus (DM) shares many similarities with human type 1 diabetes (T1D). It is a complex genetic disorder, which shows marked differences in breed susceptibility, with Samoyed dogs being highly susceptible, whereas the Boxer breed is relatively resistant. A number of immune response genes, which have been associated with human T1D, have also been implicated in determining susceptibility to canine DM, suggesting an immune-mediated component to the disease pathogenesis. Single nucleotide polymorphisms (SNPs) in the CTLA4 gene have consistently and reproducibly been associated with human T1D and other autoimmune diseases but the canine CTLA4 gene has not previously been investigated for involvement in canine DM. SNPs of particular interest in the human association studies are those in the promoter region which affect CTLA4 expression levels, and that of exon 1 which results in a non-synonymous amino acid change. We performed a canine SNP discovery investigation of CTLA4 on a region of DNA containing exon 1 and 1.5 kb upstream sequence in order to identify promoter region SNPs. Confirmed SNPs were used in a genetic association study of a canine diabetic cohort showing that CTLA4 promoter polymorphisms were associated with diabetes in crossbreed dogs and in five Pedigree breeds-Samoyed, Miniature Schnauzer, West Highland White Terrier, Border Terrier and Labrador. Meta-analysis of these breeds showed 9 out of 15 SNPs were associated with DM and genotype and haplotype analyses also confirmed the allelic associations in these 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".