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Record W2471939892

[Transmission disequilibrium test of polymorphisms of serotonin transporter gene and schizophrenia based on family trios].

2003· article· en· W2471939892 on OpenAlexaff
Wei Sun, Jin Fan, Xue Qian, Y L Xing, Jian Shi, Shao Min Zhu, Niu Fan Gu, Guo Feng, Lin He

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsSerotonin transporterTransmission disequilibrium testDisequilibriumGeneticsSchizophrenia (object-oriented programming)BiologyAlleleLinkage disequilibriumGenePolymorphism (computer science)GenotypeHaplotypePsychologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the relationship between two polymorphisms (Intronic VNTR and 5-HTTLPR) of the serotonin transporter gene and schizophrenia. METHODS: A set of 314 schizophrenic trio samples collected from Shanghai, Xi'an and Jilin regions of China independently was subjected to analysis of the polymorphisms by transmission/disequilibrium test(TDT). RESULTS: No significantly preferential transmission of any allele was detected from both polymorphisms investigated. CONCLUSION: The results suggest that the serotonin transporter gene is unlikely to have a major contribution to susceptibility to schizophrenia in Han Chinese population.

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 score0.129
Threshold uncertainty score0.504

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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