Association of the promoter polymorphism −232C/G of the phosphoenolpyruvate carboxykinase gene (PCK1) with Type 2 diabetes mellitus
Bibliographic record
Abstract
AIMS: The phosphoenolpyruvate carboxykinase gene (PCK1) is a potential candidate gene in the pathogenesis of Type 2 diabetes mellitus. A -232C/G promoter polymorphism of PCK1 has been associated with an increased risk of Type 2 diabetes in a Canadian population. The purpose of the present study was to examine this association in a German Caucasian population. METHODS: We investigated 397 subjects with Type 2 diabetes [227 men, 170 women, age 63 +/- 11 years, body mass index (BMI) 28.7 +/- 5.1 kg/m2] and 431 control subjects without diabetes (247 men, 184 women, age 64 +/- 7 years, BMI 26.5 +/- 3.7 kg/m2) matched for sex and age. RESULTS: In the diabetic and control groups, the CC genotype frequencies were 18.1 and 18.3%, the CG 48.6 and 48.7% and the GG 33.2 and 32.9%, respectively (P = 0.995). The allelic frequencies were 0.51 and 0.57 for the G allele and 0.49 and 0.43 for the C allele, respectively. In a logistic regression model only BMI and family history, but not the polymorphism, were predictors of Type 2 diabetes. In both the control and diabetic subjects, there were no significant differences in BMI or blood pressure between the groups with or without the polymorphism. The variant also had no significant influence on the presence of atherosclerotic disease, while the influence of other known cardiovascular risk factors was confirmed. CONCLUSIONS: The present data suggest that, in a German Caucasian population, the -232C/G polymorphism of the PEPCK gene is not associated 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".