The Interaction Between Family Functioning and the PCDH9 rs9540720 Polymorphism on Major Depressive Disorder in Chinese Freshmen
Bibliographic record
Abstract
Objective: Unhealthy family functioning and Protocadherin 9 ( PCDH9 ) have been recognized as potential environmental and genetic risk factors for major depressive disorder (MDD). This study examined the effects of the interaction between PCDH9 and family functioning on MDD in first-year university students. Methods: A cohort of 6985 first-year university students in China was established in 2018 and was followed for one year. The blood samples from 4866 of these participants (38.88% males, mean age:18.42) were genotyped. MDD was assessed using the Composite International Diagnostic Interview-3.0 (CIDI-3.0), while family functioning was evaluated with the Family Assessment Device (FAD). Logistic regression was used to examine the interaction of these two risk factors. Results: The one-year prevalence of MDD was 2.4%. Among first-year university students, the AA genotype of rs9540720 ( PCDH9 ) was a protective factor for MDD (OR=0.47, 95% CI: 0.23– 0.88, P =0.025). Affective responsiveness was a risk factor for MDD (OR=1.77, 95% CI: 1.13– 2.78, P =0.013). The interaction between AA genotype of rs9540720 and general functioning was statistically significant for MDD (OR=6.83, 95% CI: 1.16– 39.27, P =0.031), indicating that unhealthy family functioning may exacerbate the risk of MDD in carriers of this genotype. Conclusion: University students carrying the AA genotype of rs9540720( PCDH9 ) may have a higher probability of developing MDD when they have unhealthy family functioning. The etiological mechanism of depression in university students is explained from the perspective of gene-environment interaction and provides a theoretical basis for subsequent effective identification and screening of high-risk groups for depression in university students. Keywords: depression, family functioning, gene-environment interaction, PCDH9 rs9540720, freshman
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 | 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".