DRD2, DAT1, and COMT Genotypes as Moderators of the Relation Between Maternal Depressive Symptoms and Infant Cortisol Reactivity
Bibliographic record
Abstract
Both maternal depression and dopamine-related genotypes have been linked to the development of the HPA axis. This thesis explored whether and how DRD2, DAT1, and (from an exploratory perspective) COMT genotypes moderate the relation between maternal depressive symptoms and infant cortisol reactivity in the context of a toy frustration challenge at 16 months and in the context of a maternal separation challenge at 17 months. Buccal cells were used for the purpose of genotyping. Maternal depressive symptoms were assessed via self-report at infant age 16 months. Candidate DRD2 and DAT1 genotypes moderated the relation between maternal depressive symptomatology and infant cortisol secretion in a diathesis-stress manner in the context of the toy frustration task, and in a differential susceptibility manner in the context of the maternal separation. Results are interpreted as indicating that the nature of gene-environment interactions is context-specific.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".