The association of polymorphism in PHACTR1 rs9349379 and rs12526453 with coronary artery atherosclerosis or coronary artery calcification. A systematic review
Bibliographic record
Abstract
OBJECTIVE: There is a need to identify genetic factors that may produce coronary artery atherosclerotic disease (CAD) that are not involved in the usual risk factors leading to CAD. Previous studies have often equated coronary artery calcification (CAC) with CAD with coronary stenosis or its sequelae. The objective of this study was to examine the relationship between phosphatase and actin regulator 1 (PHACTR1) single nucleotide polymorphisms (SNPs) and the type of coronary artery disease CAD versus CAC. METHOD: A systematic review of the literature was conducted to answer the question of whether PHACTR1 gene polymorphisms are associated with coronary artery disease expressed as coronary artery atherosclerosis or CAC. RESULTS: Eighteen studies spanning seven PHACTR1 SNPs were identified and evaluated for the relationship between PHACTR1 and coronary artery disease. There were significant relationships between rs9349379, rs12526453, and CAD with odds ratios (ORs) (confidence interval) of, respectively, 1.15 (1.13-1.17), 1.13 (1.09-1.17) but not for rs2026458, 1.03 (0.88-1.19). The OR for CAC was 1.22 (1.18-1.26) for rs9349379 and 1.28 (1.21-1.38) for rs12526453. CONCLUSIONS: Several PHACTR1 specifically rs9349379 and rs12526453 polymorphisms but not rs2026458, are associated with CAD. There are differences in the association of PHACTR1 SNPs with CAC. PHACTR1 warrants more attention and study for the prevention and treatment of CAD.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".