Association between the Thr715Pro P-selectin gene polymorphism and soluble P-selectin levels in a multiethnic population in South London
Bibliographic record
Abstract
The aim was to investigate whether the Thr715Pro P-selectin polymorphism is associated with soluble P-selectin (sP-selectin) levels in individuals from different ethnic groups. Plasma sP-selectin and Thr715Pro (A/C) P-selectin gene polymorphism were measured in 237 white (106 females), 177 black African origin (92 females) and 201 South Asian (94 females) individuals living in England. All were free from coronary heart disease (CHD), stroke and other cardiovascular disease, diabetes, drug therapy for hypertension or high lipids, hormone replacement therapy or oral contraceptive pill. The Thr715Pro C allele was rare in blacks (0.8%) and intermediate in South Asians (3.0%) compared to whites (11.2%; p <0.001). sP-selectin levels were significantly lower in the individuals with the AC or CC compared to the AA genotype in both whites (-25% (95% C.I. -33.3 to -16.9); p <0.001) and South Asians (-25.2% (-40.5 to -6.1); p <0.012). There was insufficient power for this analysis in blacks. In conclusion, in whites and South Asians the C allele of the Thr715Pro P-selectin polymorphism is associated with lower sP-selectin levels. Lower levels of sP-selectin were not accounted for by this polymorphism in blacks, in whom the C allele was very rare.
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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 | 0.000 |
| 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".