Childhood emotional and sexual maltreatment moderate the relation of the serotonin transporter gene to stress generation.
Bibliographic record
Abstract
Emerging evidence suggests that the tendency to generate stressful life events may be, at least in part, genetically determined. However, the role of the early environment in shaping responses to later stressors is crucial to fully specifying biogenetic models of stress generation. The current study examined the moderating role of childhood emotional, physical, and sexual maltreatment on the relation of the serotonin-transporter-linked promoter region (5-HTTLPR) polymorphism of the serotonin transporter gene to proximal independent, dependent, and dependent-interpersonal life events. This question was tested in a cross-sectional community sample of 297 adolescents and young adults. Childhood maltreatment history and proximal life events were assessed with state-of-the-art interviews that provide independent and standardized ratings of the environmental context. Consistent with the stress generation hypothesis, individuals with the risk s-allele of the serotonin transporter gene reported significantly higher rates of dependent and dependent-interpersonal life events than those homozygous for the l-allele, but only in the context of a history of maternal emotional maltreatment or sexual maltreatment. Neither serotonin transporter gene polymorphisms or childhood maltreatment, or their interaction, were associated with reports of independent life events. The current results demonstrate the importance of considering specificity in the early environmental context when examining the relation of genetic factors to the generation of proximal stress.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".