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MAO-A gene polymorphisms are associated with major depression and sleep disturbance in males

2004· article· en· W2064408447 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

VenueNeuroreport · 2004
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEcoRVHaplotypeDepression (economics)MelancholiaGeneticsHamdAllelePolymorphism (computer science)Internal medicinePsychiatryPsychologyMedicineBiologyGeneGenotypeAnxietyMoodRestriction fragment length polymorphism

Abstract

fetched live from OpenAlex

We investigated whether the genetic variants of the MAO-A gene were associated with major depression and/or the clusters of depressive symptoms. The EcoRV and the uVNTR polymorphisms were studied in a population of 191 patients with major depression and 233 control subjects. The EcoRV polymorphism was found to be associated with depression in males but not in females. Haplotype analysis revealed that one of the haplotypes (EcoRV2-uVNTR1) was significantly more frequent among male patients than male controls. Among the HAMD symptom clusters, insomnia scores were significantly higher in male patients carrying allele 2 of the EcoRV polymorphism. These data suggest that the EcoRV and uVNTR polymorphisms may be involved in the pathogenesis of major depression and associated with insomnia in depressed patients.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.553

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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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