Class III Alleles of the Variable Number of Tandem Repeat Insulin Polymorphism Associated with Silencing of Thymic Insulin Predispose to Type 1 Diabetes
Bibliographic record
Abstract
Type 1 diabetes results from autoimmune destruction of the insulin-producing pancreatic beta cells. The insulin gene (INS) is also expressed in human thymus, an ectopic expression site likely involved in immune tolerance. The IDDM2 diabetes susceptibility locus maps to a minisatellite composed of a variable number of tandem repeats situated 0.5 kb upstream of INS. Chromosomes carrying the protective long INS variable number of tandem repeats alleles (class III) produce higher levels of thymic INS mRNA than those with the predisposing, short class I alleles. However, complete silencing of thymic INS transcripts from the class III chromosome was found in a small proportion of heterozygous human thymus samples. We hypothesized that the specific class III alleles found on these chromosomes silence rather than enhance thymic insulin expression. To test the prediction that these alleles are predisposing, we developed a DNA fingerprinting method for detecting two putative "silencing" alleles found in two thymus samples (S1, S2). In a set of 287 diabetic children and their parents we found 13 alleles matching the fingerprint of the S1 or S2 alleles. Of 18 possible transmissions, 12 of the S1-S2 alleles were transmitted to the diabetic offspring, a frequency of 0.67, significantly higher than the 0.38 seen in the remaining 142 class III alleles; P = 0.025. This confirms our prediction and represents an additional level of correlation between thymic insulin and diabetes susceptibility, which supports a thymic enhancer effect of the INS variable number of tandem repeats as the mechanism of IDDM2 and refines the contribution of IDDM2 genotyping to diabetes risk assessment.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".