Exclusion of non‐synonymous SNPs and a polyglutamine tract in SMRT/N‐CoR2 as common deleterious mutation for bipolar disorder in the Sagnenay‐Lac‐St‐Jean population
Bibliographic record
Abstract
Bipolar disorder (BP) is a psychiatric illness with both genetic and environmental components occurring with a prevalence of slightly more than 1%. Our previous linkage and case/control studies have pointed to a susceptibility locus for BP in the 12q24.31 chromosomal region. Here, we investigated the possible involvement of the SMRT/N-CoR2 gene, which encodes for the nuclear receptor co-repressor 2. SMRT/N-CoR2 was retained as a candidate gene for BP because of its location within our candidate gene region and its interactions with thyroid hormone receptors. We screened SMRT/N-CoR2 for the presence of polymorphism/mutation in coding sequences and exon-intron junctions. Four non-synonymous SNPs and a polyglutamine tract (CAG repeat) in the coding exon 14 were analyzed in a case/control sample from the Saguenay-Lac-St-Jean (SLSJ) area of Quebec (213 cases and 214 controls). Our data indicated no significant allelic/genotypic association between any of the five mutations and bipolar phenotype when they were considered either individually or as haplotypes. Finally, the CAG repeat observed in SMRT/N-CoR2 did not demonstrate allelic instability and consequently it is unlikely that this polymorphism could be involved in the anticipation phenomenon reported for BP.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".