Association of angiotensin II type 1 receptor gene polymorphism with carotid atherosclerosis
Bibliographic record
Abstract
BACKGROUND: Polymorphisms of the angiotensin II type 1 receptor (AGTR1) gene are associated with essential hypertension and cardiovascular disease, but the correlation between AGTR1 A1166C polymorphism and carotid intima-media thickness (IMT) remains unclear. We sought to demonstrate correlation between AGTR1 gene polymorphism and carotid atherosclerosis in a Chinese population. METHOD: A total of 150 patients diagnosed with essential hypertension were included in this study. The AGTR1 A1166C polymorphism was detected by restriction analysis of the polymerase chain reaction product with Ddel digestion. Carotid IMT was measured by B-mode ultrasonography. RESULTS: The AC genotype frequency and the C1166 allele frequency of the AGTR1 gene in essential hypertensive patients were significantly higher than in controls (22.00% vs. 6.00% for AC, p < 0.01; 18.67% vs. 8.00% for the C allele, p < 0.05). Hypertensive subjects with the AC genotype had increased carotid artery IMT and IMT/D (common carotid artery diameter) ratio compared with the AA genotype (IMT 1.14 +/- 0.39 vs. 0.88 +/- 0.16, p < 0.05; IMT/D 14.08 +/- 2.88 vs. 10.51 +/- 1.94, p < 0.01). CONCLUSION: These results suggest that the AGTR1 A1166C polymorphism is associated with essential hypertension and carotid atherosclerosis in a Chinese population.
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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) | 0.002 | 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".