Association between ZNF804A gene polymorphism and cognitive dysfunction in patients with schizophrenia
Bibliographic record
Abstract
Objective To investigate the relationship between three polymorphic sites of ZNF804A gene and cognitive dysfunction in schizophrenia. Methods Polymerase Chain Reaction (PCR) was used to determine the genotypes and allele frequencies of the three sites (rs1344706, rs12613195 and rs1583048) of ZNF804A gene in 320 patients with schizophrenia (case group) and 324 normal people (control group). The Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. Results (1)The allelic and genotypic distributions in rs1344706 between patients with schizophrenia(T/T, T/G, G/G genotypes: 20.3%, 50.0%, 29.7%), and healthy controls(T/T, T/G, G/G genotypes: 13.7%, 51.2%, 35.1%)had statistically significance(P>0.05). There was a statistically significant difference in the allele and genotype distribution of rs1344706 between the case group and the control group (P 0.05). (5)The effect of rs1344706 on cognitive function was slightly larger than that of rs12613195.(6)The cognitive function scores of patients carrying rs1344706 and rs12613195 sites decreased year by year. Conclusion ZNF804A gene rs1344706 and rs12613195 may be associated with cognitive dysfunction of schizophrenia, and rs1344706T and rs12613195C may be risk factors for schizophrenia and cognitive impairment.Furthermore, cognitive impairment in patients with rs1344706 is more pronounced and worsened with prolonged condition.rs1583048 may not be associated with cognitive function of schizophrenia. Key words: Schizophrenia; Zinc finger protein 804A gene; Gene polymorphism; Cognitive function
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".