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Polymorphisms in glutamate decarboxylase genes: analysis in schizophrenia

2004· article· en· W2048349069 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychiatric Genetics · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsGlutamate decarboxylaseTransmission disequilibrium testGeneticsBiologySchizophrenia (object-oriented programming)GeneGABAergicAlleleHaplotypeMedicinePsychiatryEnzymeBiochemistry

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.318
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it