Polymorphisms in glutamate decarboxylase genes: analysis in schizophrenia
Bibliographic record
Abstract
The decrease of glutamic acid decarboxylase (GAD) has been reported as an important neurochemical alteration of the inhibitory GABAergic interneurons in schizophrenia. To our knowledge no studies have investigated the genetic variants influencing GAD expression. To search for markers contributing to the genetic susceptibility of schizophrenia, we typed two polymorphisms by polymerase chain reaction-restriction fragment length polymorphism in both GAD1 and GAD2 genes in 112 triad families and 46 case-controls. We used the Transmission Disequilibrium Test to perform the qualitative family-based analyses and found negative results (GAD1, chi2 = 0.273, 1 degree of freedom, P = 0.60; GAD2, chi2 = 0, 1 degree of freedom, P = 1). In addition there were no associations with GAD1 and GAD2 and quantitative measures of suicide behaviour in this sample. Although our results are negative, this was the first study to investigate GAD genes in schizophrenia, and further studies of these genes, particularly with schizophrenia subtypes, may prove valuable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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".