Serotonin transporter gene polymorphisms, 5-httlpr variants, and their association with major depressive disorder susceptibility
Bibliographic record
Abstract
Genetic variation in the serotonin transporter gene SLC6A4 has been implicated in major depressive disorder susceptibility and antidepressant treatment response. This research examined the association between 5-HTTLPR polymorphism variants and depression phenotypes in a Canadian cohort. Participants (n=798) were recruited from the Toronto Institute for Mental Health Research between April 2023 and October 2024, comprising individuals meeting DSM-5 criteria for major depressive disorder (n=386) and age-matched healthy controls (n=412). Genotyping for the 5-HTTLPR insertion/deletion polymorphism was performed using polymerase chain reaction amplification and gel electrophoresis. Depression severity was assessed using the Hamilton Depression Rating Scale. Treatment response was evaluated in a subset of patients (n=218) receiving selective serotonin reuptake inhibitor monotherapy. Results demonstrated significant association between the short (S) allele and major depressive disorder diagnosis (OR=2.08, 95% CI: 1.62-2.67, p
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".