Analysis of the dopamine beta hydroxylase gene in Gilles de la tourette syndrome
Bibliographic record
Abstract
Numerous lines of evidence support the role of the catecholamines in the development of tics and Gilles de la Tourette syndrome (GTS). Dopamine-beta-hydroxylase (DBH) is the key enzyme in the conversion of dopamine to norepinephrine and the alleles of several polymorphisms of the DBH gene are correlated with individual variation in serum levels of the enzyme. We investigated the genetic relationship of the gene for DBH to GTS in two samples, one collected in Canada and one collected in Turkey. In total 106 affected probands and siblings in 71 nuclear pedigrees and 40 affected individuals and 71 family members in five multi-generational pedigrees were genotyped for three polymorphisms in the DBH locus. In the Canadian pedigrees we found no convincing evidence for linkage either in the multi-generational pedigrees or association in the nuclear families. We found significant evidence for association in the Turkish pedigrees (n = 29) for the 19 bp insertion/deletion markers; however, there was no supporting evidence for association with the other two markers. Based on the small sample size and low number of informative transmissions, we conclude that the results from the 19 bp insertion/deletion markers may be a chance false positive finding. These findings, in total, suggest that the DBH locus is unlikely to be a major gene influencing the susceptibility to DBH.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".