Genetic investigation of vascular diseases in the French-Canadian population
Bibliographic record
Abstract
Ischemic stroke and ischemic heart disease (IHD) are complex disorders which are influenced by both environmental and genetic factors. To identify genetic risk factors to these disease, we conducted two association studies in a population where a significant founder effect has occurred: the French-Canadians. We studied 10 polymorphisms, in the following 9 genes, which have previously been implicated in the development of IHD and/or ischemic stroke: angiotensinogen (M235T), angiotensin-converting enzyme (287 by I/D), angiotensin II type I receptor (A1166C), coagulating factor V (Leiden mutation), platelet glycoprotein IIIa (PLA1/PLA2 alleles), plasminogen activator inhibitor-1 (4G/5G), apolipoprotein E (E2, E3, and E4 isoforms), methylenetetrahydrofolate reductase (C677T), and stromelysin-1 (5A/6A). In the first study, we investigated the relationship between the gene variants listed above and 150 IHD patients and 113 controls, who matched on age, gender, and ethnic background. In the second study, we investigated the relationship between these same genetic variants and 97 French-Canadians with cerebrovascular disease (59 ischemic strokes, 38 TIAs) and 134 age and gender matched French-Canadian controls. (Abstract shortened by UMI.)
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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".