Positive association of neuroligin-4 gene with nonspecific mental retardation in the Qinba Mountains Region of China
Bibliographic record
Abstract
OBJECTIVE: Neuroligin-4 is essential for proper brain function. Some studies indicate a close relationship between neuroligin-4 and several human psychiatric conditions. METHODS: The case-control method was used to study the association between nonspecific mental retardation (NSMR) and genetic variants of neuroligin-4 gene (NLGN4). Five single nucleotide polymorphisms (SNPs: rs5916271, rs7049300, rs6638575, rs3810686, and rs1882260) were genotyped by PCR-RFLP/SSCP method in the NLGN4. RESULTS: Individual SNP analysis shows significant differences at SNPs rs3810686 and rs1882260 for allele frequency when NSMR cases and controls [odds ratio (OR)=1.589, 95% confidence interval (CI)=1.035-2.438, chi2=4.53, df=1, P=0.033; OR=2.050, 95% CI=1.211-3.470, chi2=7.38, df=1, P=0.007, respectively] were compared. Further haplotype analysis indicates that there are two haplotype sets, rs3810686-rs1882260 and rs6638575-rs3810686-rs1882260, which show statistical differences between NSMR cases and controls (chi2=6.79, df=2, global P=0.034; chi2=9.29, df=2, global P=0.0096, respectively). CONCLUSION: The results suggest a positive association between the genetic variants of the NLGN4 and NSMR in the Chinese children from Qinba Mountains Region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".