Lipid-altering gene variants and cardiovascular risk in the older population
Bibliographic record
Abstract
Evaluation of: Murray A, Cluett C, Bandinelli S et al.: Common lipid-altering gene variants are associated with therapeutic intervention thresholds of lipid levels in older people. Eur. Heart J. 30, 1711–1719 (2009). Increased plasma LDL-C and triglyceride concentrations and reduced plasma HDL-C concentrations are associated with increased cardiovascular disease risk. Recent genome-wide association studies have identified numerous genetic variants – single nucleotide polymorphisms (SNPs) – influencing plasma LDL‑C, HDL-C and triglyceride concentrations. Murray et al. evaluated approximately 600 older people (≥65 years; 43% males) from the Invecchiare in Chianti, Aging in the Chianti Area (InCHIANTI) study and genotyped 21 lipidassociated SNPs identified from early genome‑wide association studies. While individual SNP effects on plasma lipid concentrations were small, effect sizes were somewhat larger when SNPs were combined into an allele score. The extreme quartiles of these scores were significantly associated with an approximately 4–8% variation of plasma lipids; an approximately threefold‑increased risk of crossing a lipid threshold value for intervention; and an approximately threefold‑increased risk of vascular disease. With some caveats, the results suggest that combining SNP genotypes might have some clinical relevance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".