Association between polymorphisms of CYP2J2 and EPHX2 genes and risk of coronary artery disease
Bibliographic record
Abstract
OBJECTIVE: Common polymorphisms within cytochrome P450 2J2 (CYP2J2) and epoxide hydrolase 2 (EPHX2), which are involved in the generation or hydrolysis of epoxyeicosatrienoic acids, may determine susceptibility to the development of cardiovascular disease. To derive a more precise estimation of their relationship, we undertook a case-control study as well as a meta-analysis to assess possible associations of coronary artery disease (CAD) risk with CYP2J2 and EPHX2 genetic variations. METHODS: Associations among four single nucleotide polymorphisms in CYP2J2 and five in EPHX2 with CAD were examined in a total of 1344 cases and 1267 ethnically and geographically matched controls. To further confirm the effect of two functional variants (G-50T and R287Q) in the development of CAD, we conducted a meta-analysis including seven studies on G-50T polymorphism and six studies on R287Q polymorphism before June 2010. RESULTS: No significant association between common polymorphisms within these two genes and CAD was observed in our sample, either using methods of single-locus analysis or haplotype-based analysis. In addition, no association was detected in our meta-analysis between these two functional variants and the risk of developing CAD. CONCLUSION: This case-control study as well as meta-analysis suggested no association between CYP2J2 G-50T and EPHX2 R287Q and the risk of developing CAD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".