Polymorphisms in the neuronal isoform of tryptophan hydroxylase 2 are associated with bipolar disorder in French Canadian pedigrees
Bibliographic record
Abstract
OBJECTIVE: Tryptophan hydroxylase is the rate-limiting enzyme in the serotonin biosynthetic pathway and plays an important role in the regulation of serotonin levels. Recently, a brain-specific isoform, tryptophan hydroxylase 2 or n-tryptophan hydroxylase, has been discovered. Some studies reported genetic and functional associations between this isoform and bipolar disorder and/or major depressive disorder. The aim of this study was to investigate further association of genetic variants in French Canadian samples with bipolar disorders. METHODS: Genetic variants in the tryptophan hydroxylase 2 gene were genotyped in a case-control sample consisting of 225 affected individuals (191 bipolar I and 34 bipolar II) and 221 controls and in a collection of extended pedigrees and trios from the same population 357 nuclear families (201 bipolar I, 64 bipolar II, 79 recurrent major depressive disorder). RESULTS: We determined linkage disequilibrium structure in our isolated population and analyzed six tagged single nucleotide polymorphisms in the case-control sample. Whereas no single, single nucleotide polymorphism gave any significant result, a three single nucleotide polymorphism haplotype gave a global P=0.01. Family-based association showed significant association (P=0.004) of one polymorphism (rs4290270) with the major allele overtransmitted to affected offspring. CONCLUSIONS: Case-control and family-based association studies further support the presence of a susceptibility locus for bipolar disorder in tryptophan hydroxylase 2 by showing statistically significant associations with both, single nucleotide polymorphism alone and haplotype of single nucleotide polymorphism markers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".