Tryptophan hydroxylase gene 218A/C polymorphism is not associated with depressed suicide
Bibliographic record
Abstract
Abnormalities in functioning of the central serotonergic system are believed to be involved in the pathogenesis of depressive illness and suicidal behaviour. Recently, polymorphism in the tryptophan hydroxylase (TPH) gene has been studied for association with aggression, anger-related traits and suicidal behaviour, but the results are inconclusive. The present investigation was to determine whether there are differences in genotype and allele distribution of the TPH gene 218A/C polymorphism in post-mortem brain samples from 35 depressed suicide victims and 84 control subjects of the same ethnic background. A functional polymorphism in the promoter region of 5-HT transporter gene was also re-examined in this increased sample size. No significant difference in TPH gene 218A/C polymorphism between controls and depressed suicide victims was detected. This may suggest that the TPH gene has no significant effect on suicidality in depressed subjects. In a previous study on a smaller sample we found the frequency of the long allele of 5-HT transporter gene to be higher in depressed suicide victims. In this increased sample size, both the genotype and alleles of the 5-HT transporter gene were significantly associated with completed suicide. The frequency of the L/L genotype in depressed suicide victims was almost double of that found in control group (48.6 vs. 26.2%). The odds ratio for the L allele associated with depressed suicide was 2.1 (95% CI, 1.2-3.7). The relatively small sample size does not exclude the possibility of false-positive results and the finding needs replication.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".