A major single nucleotide polymorphism of the <i>PDLIM5</i> gene associated with recurrent major depressive disorder
Bibliographic record
Abstract
Objective: The PDLIM5 gene is known to interact specifically with the N-type calcium channel α-1B subunit and protein kinase Cɛ and is critical for rapid, efficient potentiation of the calcium channel activation by protein kinase C in neurons. Increasing amounts of data suggested that PDLIM5 might be involved in the pathophysiology of major depressive disorder (MDD). The aim of this study was to examine whether genetic variations in the human PDLIM5 gene might contribute to the liability to develop MDD. Method: We undertook a gene-based association analysis of single nucleotide polymorphisms (SNPs). Three SNPs (rs10008257, rs2433320 and rs2452600) were identified in the PDLIM5 gene and genotyped in patients diagnosed with recurrent MDD and in matched control subjects. Results: We observed significant allele ( p = 0.007) and genotype ( p = 0.007) association with rs2433320, and the G allele of rs2433320 was significantly overrepresented in control subjects in comparison with MDD patients. Conclusion: These results support the hypothesis of a protective effect for the G allele of rs2433320 in the PDLIM5 gene in recurrent MDD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".