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Record W2013479335 · doi:10.1159/000079102

Linkage of M5 Muscarinic and α7-Nicotinic Receptor Genes on 15q13 to Schizophrenia

2004· article· en· W2013479335 on OpenAlexaffabout
Vincenzo De Luca, Haoran Wang, Alessio Squassina, Greg Wong, John Yeomans, James L. Kennedy

Bibliographic record

VenueNeuropsychobiology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)GeneticsNicotinic agonistPsychosisPsychologyBiologyNeuroscienceReceptorPsychiatry

Abstract

fetched live from OpenAlex

Most antipsychotic drugs act on the forebrain by blocking dopamine receptors. In rodents, the M5 muscarinic receptor (CHRM5) is important for prolonged dopamine release. We typed polymorphisms in CHRM5 and alpha7-nicotinic receptor (CHRNA7) genes on 15q13 in 82 Canadian families having at least 1 schizophrenic patient. Using the Family-Based Association Test, we performed haplotype analysis of the 2 loci and found biased transmission in schizophrenia (z = -2.651, p = 0.008). In the families tested, the 2 cholinergic genes interacted to affect schizophrenia in combination, while neither was sufficiently alone to confer susceptibility. Our present study provided the first line of direct evidence suggesting that the CHRM5 gene combined with the CHRNA7 gene may be linked to schizophrenia.

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 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 score0.030
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.247
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations69
Published2004
Admission routes2
Has abstractyes

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