Мета-аналіз асоціації T102C поліморфізму гена HTR2A рецептора 5-HT2A з шизофренією
Bibliographic record
Abstract
HTR2A gene codes the serotonin receptor 5-HT2A and is located on the long arm of chromosome 13. A marked decrease in the density of these receptors in different areas of the cortex was observed in the brains of patients with schizophrenia. This meta-analysis confirmed the connection between schizophrenia and a marker on the long arm of chromosome 13 as a C-allelic form of T102C polymorphism of HTR2A gene. Previous studies have shown that this association is more prominent in European samples, while in East Asia it is absent. This study defines that the strongest association takes place in the Russian samples, where the value of the odds ratio for the C allele is: OR=2,1; 95% CI 1,5–2,9; for the genotype CC OR=3,9; 95% CI 2,1–7,4. In populations of other countries (Israel, Brazil, Finland, Canada) such association was not revealed. The fact that the association of T102C polymorphism with schizophrenia has been confirmed for the Russian population that is genetically close to Ukrainian, is an important precondition for such research in Ukraine to determine provocative allele to find the risk of schizophrenia, to carry out pharmacogenetic studies etc.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".