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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".