Chromosome 11‐q24 region in Tourette syndrome: Association and linkage disequilibrium study in the French Canadian population
Bibliographic record
Abstract
Previous studies have found association and linkage between Tourette syndrome (TS) and markers at the 11q24 region, mainly with markers D11S1377 and D11S933. In order to determine if these positive findings could be replicated in our sample, we undertook a family-based association study in 199 French Canadian TS nuclear families. We genotyped 572 individuals from 174 complete and 25 incomplete TS trios. TDT analysis failed to detect an association between TS and six markers from 11q24. Furthermore, no haplotype combining alleles from D11S1377, D11S933, or any of the other four markers was associated with the disorder. Linkage disequilibrium analysis showed evidence of historical recombination between every contiguous pair of markers, indicating that these genetic variants are probably in equilibrium in the French Canadian population. Further analysis in additional families, with different methodologies (linkage and association) will be required in order to determine if the 11q24 region harbors a susceptibility locus for TS. If it does, this defect may not be frequent in the French Canadian population due to locus heterogeneity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".