Oxytocin and oxytocin receptor gene polymorphisms and risk for schizophrenia: A case–control study
Bibliographic record
Abstract
OBJECTIVES: Dysfunctions of the "social brain" belong to the core features of schizophrenia. The neurohormone oxytocin (OXT), mediated through its specific receptor (OXTR), is involved in the regulation of social behaviour and social cognition. Previous research has suggested a role of OXT system genes in disorders of social reciprocity. Preliminary evidence points to an association of peripheral OXT levels as well as OXT and OXTR gene polymorphisms with psychotic symptoms and treatment response in schizophrenia. This study aims to determine a possible contribution of OXT and OXTR genetic variations to schizophrenia susceptibility. METHODS: Using n = 406 individuals diagnosed with schizophrenia according to DSM-IV and n = 406 healthy controls matched for age and gender in a case-control design, two single nucleotide polymorphisms (SNPs) within the OXT gene (rs2740204, rs2740210) and four SNPs within the OXTR gene (rs53576, rs237880, rs237885, rs237902) that were previously investigated in other studies were genotyped. RESULTS: Chi(2)-testing suggested significant associations of OXTR SNPs rs53576(A > G) (P = 0.008) and rs237885(T > G) (P = 0.025) with a diagnosis of schizophrenia. Post-hoc ANCOVA revealed significant associations of OXTR SNPs rs53576 with general psychopathology and rs237902 with negative symptom scores in schizophrenic patients. CONCLUSIONS: Our findings support hypotheses about an involvement of oxytocinergic gene variants in schizophrenia vulnerability and warrant independent replication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".