Lack of association between dopamine-β hydroxylase gene and a history of suicide attempt in schizophrenia
Bibliographic record
Abstract
OBJECTIVE(S): In the present study, we examined whether there was an association between dopamine-β hydroxylase (DBH) promoter polymorphisms (a 5'-ins/del and a GTn repeats) and a history of suicide attempt in 223 chronic schizophrenia individuals using statistical and molecular analyses. Within the genetic association study design, we compared the statistical haplotype phase with the molecular phase produced by the amplicon size analysis. MATERIALS AND METHODS: The two DBH polymorphisms were analysed using the Applied Biosystem 3130 and the statistical analyses were carried out using UNPHASED v.3.1.5 and PHASE v.2.1.1 to determine the haplotype frequencies and infer the phase in each patient. Then, DBH polymorphisms were incorporated into the Haploscore analysis to test the association with a history of suicide attempt. RESULTS: In our sample, 62 individuals had a history of suicide attempt. There was no association between DBH polymorphisms and a history of suicide attempt across the different analytical strategies applied. There was no significant difference between the haplotype frequencies produced by the amplicon size analysis and statistical analytical strategies. However, some of the haplotype pairs inferred in the PHASE analysis were inconsistent with the molecular haplotype size measured by the ABI 3130. CONCLUSION: The amplicon size analysis proved to be the most accurate method using the haplotype as a possible genetic marker for future testing. Although the results were not significant, further molecular analyses of the DBH gene and other candidate genes can clarify the utility of the molecular phase in psychiatric genetics and personalized medicine.
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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) | 0.000 | 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) | 0.002 | 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".