<i>N</i>‐methyl‐<scp>d</scp>‐aspartate receptor NR1 subunit gene (GRIN1) in schizophrenia: TDT and case‐control analyses
Bibliographic record
Abstract
The N-methyl-d-aspartate glutamate receptors (NMDAR) act in the CNS as regulators of the release of neurotransmitters such as dopamine, noradrenaline, acetylcholine, and GABA. It has been suggested that a weakened glutamatergic tone increases the risk of sensory overload and of exaggerated responses in the monoaminergic system, which is consistent with the symptomatology of schizophrenia. We studied two silent polymorphisms in GRIN1. GRIN1/1 is a G/C substitution localized on the 5' untranslated region; GRIN1/10 is an A/G substitution localized in exon 6 of GRIN1. Minor allele frequencies in our sample were calculated to be 0.05 and 0.2 respectively. We genotyped 86 nuclear families and 91 ethnically matched case-control pairs. Both samples were collected from the Toronto area. We tested the hypothesis that GRIN1 polymorphisms were associated with schizophrenia using the transmission disequilibrium test (TDT) and comparing allele frequencies between cases and controls. The results are as follows: GRIN1/1: chi(2) = 2.19, P = 0.14; GRIN1/10: chi(2) = 1.5, P = 0.22. For the case-control sample: GRIN1/1: chi(2) = 0.013, P = 0.908; GRIN1/10: chi(2) = 0.544, P = 0.461. No significant results were obtained. Haplotype analyses showed a borderline significant result for the 2,1 haplotype (chi(2) = 3.86, P-value = 0.049). An analysis of variance (ANOVA) to evaluate the association between genetic makeup and age at onset was performed, with no significant results: GRIN1/1, F[df = 2] = 0.42, P-value = 0.659; GRIN1/10, F[df = 2] = 0.16, P-value = 0.853. We are currently collecting additional samples to increase the power of the analyses.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".