The G‐250A substitution in the promoter region of the hepatic lipase gene is associated with the conversion from impaired glucose tolerance to type 2 diabetes: the STOP‐NIDDM trial
Bibliographic record
Abstract
OBJECTIVES: Dyslipidaemia that includes high levels of triglycerides and low high-density lipoprotein cholesterol is a risk factor for type 2 diabetes. Hepatic lipase gene encoding a lipolytic enzyme participating in remodelling of plasma lipoproteins and formation of serum lipid profile is a promising candidate gene for type 2 diabetes. The purpose of the study was to investigate whether the G-250A promoter polymorphism of the LIPC gene predicts the conversion from impaired glucose tolerance (IGT) to type 2 diabetes. SUBJECTS AND DESIGN: Study population comprised of subjects who participated in the STOP-NIDDM trial aiming to investigate the effect of acarbose compared with placebo on the prevention of type 2 diabetes in subjects with IGT. RESULTS: Compared with subjects carrying the G-250G genotype, subjects with the A-250A genotype of the LIPC gene had a 2.35-fold [95% confidence interval (CI) 1.27-4.33, P = 0.006] higher risk of developing type 2 diabetes. Subjects in the placebo group and all women carrying the A-250A genotype had an especially high risk for the conversion to type 2 diabetes [odds ratio (OR) 2.74, 95% CI 1.14-6.61, P = 0.024 and OR 3.70, 95% CI 1.35-10.1, P = 0.011 respectively]. CONCLUSION: The G-250A promoter polymorphism of the LIPC gene is associated with an increased risk of development of type 2 diabetes in high-risk subjects with IGT. Therefore, genes regulating atherogenic dyslipidaemia are promising candidate genes for type 2 diabetes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".