The LPL S447X cSNP is associated with decreased blood pressure and plasma triglycerides, and reduced risk of coronary artery disease
Bibliographic record
Abstract
Linkage of the lipoprotein lipase (LPL) gene to blood pressure levels has been reported. The LPL S447X single nucleotide polymorphism (cSNP) has been associated with decreased triglycerides (TG), increased high density lipoprotein cholesterol, and a decreased risk of coronary artery disease (CAD), which may occur independently of its beneficial lipid changes. To investigate the relationship between LPL S447X cSNP and these parameters, we studied a cohort of individuals with familial hypercholesterolemia in whom blood pressures and information regarding the use of blood pressure lowering medications were available. Carriers of the S447X variant had decreased TG (1.21+/-0.47 vs. 1.52+/-0.67, p<0.001) and a trend towards decreased vascular disease (12.7 vs. 19.5%) compared to non-carriers. More interestingly, however, carriers of this cSNP had decreased diastolic blood pressure compared to non-carriers (78+/-10 vs. 82+/-11, p=0.002), evident in both men and women, youths and adults, with similar trends for systolic blood pressure. Furthermore, the decrease in blood pressure appeared independent of the decrease in TG (p=0.02), suggesting that the LPL protein may have a direct influence on the vascular wall. This suggests an additional mechanism whereby this variant may have protective effects, independent of changes in plasma lipid levels.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".