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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".