Influence of the eNOS gene on development of blood pressure and left ventricular mass: Longitudinal findings in multiethnic youth
Bibliographic record
Abstract
OBJECTIVES: To evaluate the impact of the endothelial nitric oxide synthase (eNOS) gene on longitudinal development of blood pressure (BP) and left ventricular mass (LVM) from childhood into early adulthood. METHODS: Three polymorphisms including -922A>G, intron 4VNTR, and Glu298Asp of the eNOS gene were investigated. Individual growth-curve modeling and haplotype trend regression analyses were conducted for 579 white and black American youths with 12 assessments over a 15-year period. RESULTS: Significantly different allele and genotype frequencies were observed between blacks and whites for all three polymorphisms. Linkage disequilibrium (LD) patterns among these polymorphisms were also different between ethnic groups: strong LD between the -922A>G and intron 4 VNTR loci was observed in whites but not in blacks. Single locus analyses identified a significant interaction between the intron 4 VNTR and gender on diastolic BP (DBP) levels. The 4a allele carriers had significantly lower DBP levels in males (P=0.012), but higher DBP levels in females (P=0.045). Haplotype analyses confirmed the DBP lowering effect in males (P=0.049). DBP in males homozygous for haplotype G-4a-Glu was 2.58 mmHg lower than males homozygous for the most common haplotype (A-non4a-Glu). Additionally, individuals homozygous for haplotype G-non4a-Glu showed a 0.51 mmHg steeper increase in DBP per year with age as compared to the most common haplotype (P=0.007). No associations between single polymorphisms or haplotypes of the eNOS gene and systolic BP or LVM were found. CONCLUSIONS: our results suggest that eNOS gene may have gender-specific and age-dependent effects on DBP and the development of hypertension risk.
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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 | 0.000 | 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) | 0.001 | 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".