Association of TBXA2R, P2Y12 and ADD1 genes polymorphisms with ischemic stroke susceptibility: a metaanalysis
Bibliographic record
Abstract
Background Ischemic stroke is a common cause of death and disability throughout the world. We aimed to evaluate the association between polymorphisms in TBXA2R (rs4523, rs768963, rs1131882), P2Y12 (rs204693), ADD1 (rs4961) and risk of ischemic stroke. Methods A comprehensive retrieval with the databases of Pubmed, Embase, CENTRAL, CNKI and Wan fang data was conducted. The deadline was February 1, 2019. Pooled ORs and 95% CIs were calculated by using the Z-test. Heterogeneity between the included studies was tested using the I2 method. Begg’s funnel plot and Egger’s linear regression were used to evaluate the publication bias. Software STATA 12.0 (StataCorp, College Station, TX, USA) was used for the meta-analysis and 26 studies with 5,776 cases and 8,025 controls were included. Results The results indicated significantly higher risk of ischemic stroke associated with TBXA2R variant rs768963 in all genetic models (C vs T: OR=1.27, 95% CI=1.13-1.42, P<0.0001; CC vs TT: OR=1.74, 95% CI=1.36-2.22, P<0.0001; CT vs TT: OR=1.73, 95% CI=1.41, 2.13, P<0.0001; CC+CT vs TT: OR=1.69, 95% CI=1.39-2.06, P<0.0001). Higher risk of ischemic stroke was also found to be associated with P2Y12 variant rs204693 in homozygous model and allelic model (CC vs TT: OR=3.17, 95% CI=1.33-7.55, P=0.009; C vs T: OR=1.47, 95% CI=1.00-2.15, P=0.047). No association was observed for TBXA2R variant rs1131882, rs4523 and ADD1 variant rs4691. Conclusions The TBXA2R variant rs768963 and P2Y12 variant rs2046934 may be predictive of the risk of ischemic stroke. Further studies with large sample sizes are warranted and should consider both ethnicity and environmental factors.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.016 | 0.058 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".