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Record W2473559023 · doi:10.1017/s1092852900017570

Major Psychosis and Chromosome 22: Genetics Meets Epigenetics

2002· article· en· W2473559023 on OpenAlexaff
Artūras Petronis, Violeta Popendikytė, Peixiang Kan

Bibliographic record

VenueCNS Spectrums · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEpigeneticsGeneticsPsychosisChromosomeBiologyMedicineComputational biologyBioinformaticsPsychiatryGene

Abstract

fetched live from OpenAlex

Elucidation of genetic factors in schizophrenia and bipolar disorder remains a challenging task to psychiatric researchers. As a rule, data from genetic linkage and association studies are quite controversial. In this article, we further explore the possibility that in addition to DNA sequences variation, a putative epigenetic dysregulation of brain genes plays an important role in the etiopathogenesis of major psychosis. We provide an epigenetic interpretation of unclear genetic findings specifically pertaining to chromosome 22 in schizophrenia and bipolar disorder. It is suggested that epigenetic strategies, when applied in conjunction with traditional genetic ones, may significantly expedite the uncovering of the molecular causes of major psychosis.

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 categoriesMeta-epidemiology (narrow)
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 score0.516
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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.

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

Citations4
Published2002
Admission routes1
Has abstractyes

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