Associations of genetic polymorphisms of the vitamin D pathway with blood pressure in a Han Chinese population
Bibliographic record
Abstract
Vitamin D deficiency can lead to high blood pressure. Polymorphisms in the vitamin D hydroxylase gene have been associated with serum vitamin D levels in some Western countries. The aim of this study was to investigate whether polymorphisms of hydroxylase genes in the vitamin D metabolic pathway contribute to hypertension by affecting serum vitamin D status in a Han Chinese population. We selected four single nucleotide polymorphisms (SNPs; rs1993116 and rs10741657 of CYP2R1; rs4809957 and rs6068816 of CYP24A1) for genotyping in 525 control subjects and 324 hypertensive patients, and detected vitamin D levels in blood in subsets of these groups. The results showed that rs1993116 and rs10741657 were associated with a reduced risk of hypertension. The odds ratios, 95% confidence intervals, and p values from the adjusted additive and dominant models were 0.788 (0.644-0.963, p = 0.02) and 0.719 (0.545-0.949, p = 0.02) for rs1993116 and 0.805 (0.66-0.983, p = 0.033) and 0.733 (0.556-0.966, p = 0.028) for rs10741657. A protective effect of CYP2R1 with regard to hypertension was also found in males and non-smokers. The TT genotypes of rs1993116 and rs10741657 were associated with significantly lower systolic blood pressure in treated hypertensive patients (both p = 0.002). No association with hypertension was found for the two SNPs of CYP24A1, and no difference in vitamin D level was found among the three genotypes of the four SNPs. Our results suggest that CYP2R1 polymorphisms are associated with a reduced risk of hypertension independent of the vitamin D level in the Han Chinese population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".