Variation in the AU(AT)-rich element within the 3'-untranslated region of PPP1R3 is associated with variation in plasma glucose in aboriginal Canadians
Bibliographic record
Abstract
We are investigating associations between variations in candidate genes on chromosome 7q and diabetes-related phenotypes in Canadian Oji-Cree. One of these genes encodes the skeletal muscle regulatory G subunit of the glycogen- associated form of protein phosphatase 1 (PPPIR3), which may play a key role in muscle glycogen metabolism. There is a common 5-bp insertion-deletion polymorphism in a messenger ribonucleic acid-stabilizing AU(AT)-rich element within the 3'-untranslated region (UTR) of PPPIR3. The D allele had a frequency of 0.30 in the Oji-Cree. We found that this 3'-UTR variation of PPP1R3 was significantly associated with variation in 2-h postprandial glucose in adult Oji-Cree with type 2 diabetes or impaired glucose tolerance (IGT). Specifically, Oji-Cree with diabetes or IGT who were D/D homozygotes had significantly lower 2-h postprandial plasma glucose than subjects with the other genotypes. There was no association of the PPPIR3 genotype either with the presence of type 2 diabetes or IGT or with other quantitative traits in this sample. These findings suggest that common PPPIR3 3'-UTR variation that potentially affects messenger ribonucleic acid stability is associated with variation in glycemia in Oji-Cree subjects with type 2 diabetes.
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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 | 0.001 | 0.001 |
| 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".