Association between the oxytocin receptor (<scp>OXTR</scp>) gene and children's social cognition at 18 months
Bibliographic record
Abstract
At 18 months, children engage in a variety of social behaviors that reflect their nascent ability to understand the intentions of other people (e.g. joint attention, empathy, cooperation and self-recognition). Although numerous contextual factors have been shown to predict social cognition in young children, the genetic underpinnings of social-cognitive traits has been understudied in this age group. Owing to the known effects of oxytocin on adult social cognition and psychopathology, this study hypothesized that variability in the oxytocin receptor gene (OXTR) would be associated with social cognition in children at 18 months. Participants consisted of 350 children (182 males; 168 females) who were part of an ongoing longitudinal study that aimed to assess environmental and genetic contributions to children's cognitive and socio-emotional functioning. At 18 months, social cognition was measured using previously validated and developmentally sensitive tasks assessing children's joint attention, empathy, cooperation and self-recognition. Five potentially functional OXTR variants were genotyped: rs1042778, rs2254298, rs11131149, rs237897 and rs237899. A family-based association design was used to control for population admixture and stratification, and additional non-genomic covariates were controlled. Results showed that variability in rs11131149 was significantly associated with social cognition (P=0.009), with more copies of the major allele related to higher social cognition, and more copies of the minor (risk) allele associated with lower social cognition. A haplotype consisting of rs11131149-rs2254298 was also associated with social cognition (P=0.020). Implications for normative and pathological development are discussed, and key areas for future research are proposed.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".