Oxytocin Receptor Gene Variant Interacts with Intervention Delivery Format in Predicting Intervention Outcomes for Youth with Conduct Problems.
- Authors
- Glenn, Andrea L; Lochman, John E; Dishion, Thomas; Powell, Nicole P; Boxmeyer, Caroline; Qu, Lixin
- Year
- 2018
- Journal
- Prevention science : the official journal of the Society for Prevention Research
- PMID
- 28303421
- DOI
- 10.1007/s11121-017-0777-1
- PMCID
- PMC5600646
Coping Power is an evidence-based preventive intervention program for youth with aggressive behavior problems that has traditionally been delivered in small group formats. Because of concerns about iatrogenic effects secondary to aggregation of high risk youth, the current study examined whether genetic risk may moderate intervention outcome when youth were randomly assigned to group versus individual formats of an intervention. The oxytocin receptor gene (OXTR) has been associated with social behavior and may influence susceptibility to social reinforcement in general and deviant peer influence in particular. One variant of OXTR (rs2268493) was examined in 197 fourth-grade African-American children (64% male) who were randomly assigned to Group Coping Power or Individual Coping Power (Lochman et al. 2015). Longitudinal assessments of teacher- and parent-reported behavior were collected through a 1-year follow-up. Growth curve analyses revealed a genotype by delivery format interaction. Youth with the A/A genotype demonstrated reductions in externalizing problems over the course of the intervention regardless of intervention format. In contrast, carriers of the G allele receiving the group-based intervention showed little improvement during the intervention and a worsening of symptoms during the follow-up year, while those receiving the individual format demonstrated reductions in externalizing problems. Given the associations between this OXTR variant and social bonding, carriers of the G allele may be more sensitive to social rewards from deviant peers in the group setting. This study suggests that genetic factors may be useful in predicting which type of intervention will be most effective for a particular individual.
CONSORT flow diagram for all the trial participants.
Interaction between intervention condition and the oxytocin receptor gene on teacher-rated externalizing behavior.
| Name | Type |
|---|---|
| 5 PRIME Taq polymerase local | drug |
| A/A genotype local | variant |
| A allele | cohort |
| African American | cohort |
| African-Americans | cohort |
| agarose | drug |
| aggression | phenotype |
| annual cohort local | cohort |
| BASC local | phenotype |
| Baseline data (Time 1) local | phenotype |
| behavior | phenotype |
| Behavior Assessment System for Children (BASC) Aggression scale local | phenotype |
| behavior outcomes local | phenotype |
| behavior problems | phenotype |
| buccal cells local | drug |
| Buccal cells local | drug |
| Caucasian ancestry local | phenotype |
| Child behavior change rate local | phenotype |
| children | cohort |
| college students | cohort |
| Coping Power intervention local | drug |
| Coping Power participants local | cohort |
| Coping Power RCT participants local | cohort |
| deviant peer effects local | phenotype |
| disadvantaged youth local | cohort |
| disease | phenotype |
| DNA | drug |
| dopamine | drug |
| EDTA | drug |
| eligible children local | cohort |
| ethanol consumption | phenotype |
| externalizing behavior | phenotype |
| Externalizing Composite scores local | phenotype |
| externalizing disorders | phenotype |
| families | cohort |
| G allele | variant |
| G carriers local | variant |
| GCP local | cohort |
| GCP local | drug |
| GCP condition local | cohort |
| genetic ancestry | phenotype |
| glucocorticoids | drug |
| group-based intervention local | cohort |
| Growth parameters local | phenotype |
| high-risk children | cohort |
| ICP local | cohort |
| ICP local | drug |
| ICP condition local | cohort |
| Improved social skills local | phenotype |
| inhibitory control | phenotype |
| intervention | cohort |
| Intervention condition local | drug |
| intervention format effects local | phenotype |
| intervention group | cohort |
| Intervention unit local | cohort |
| intervention units local | cohort |
| low social skills local | phenotype |
| Main Study local | cohort |
| MgAc2 local | drug |
| Mg(OAc)2 local | drug |
| Mid-intervention assessments (Time 2) local | phenotype |
| NaOH | drug |
| negative outcomes | phenotype |
| One-year follow-up data (Time 4) local | phenotype |
| OXTR | gene |
| OXTR G allele local | variant |
| OXTR SNP local | variant |
| oxytocin system local | drug |
| parent outcomes local | phenotype |
| Parent outcomes local | phenotype |
| parents | cohort |
| participants | cohort |
| population structure | phenotype |
| Post-intervention assessments (Time 3) local | phenotype |
| rs2268493 | variant |
| rs237885 local | variant |
| schools local | cohort |
| screening measure local | phenotype |
| Sepharose-streptavidin beads local | drug |
| serotonin | drug |
| sex | phenotype |
| social bonding | phenotype |
| social cognition | phenotype |
| social responding local | phenotype |
| study cohort | cohort |
| Supplemental Study local | cohort |
| teacher outcomes local | phenotype |
| Teacher outcomes local | phenotype |
| teacher-rated externalizing behavior local | phenotype |
| teachers | cohort |
| Tris-Acetate local | drug |
| Tris-HCl | drug |
| Triton X 100 local | drug |
| Tween-20 | drug |
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?". | 2018 | 28735446 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Beyond Jacobson and Truax: Estimation of Clinical Significance Trajectories in the Coping Power Intervention Using Measurement Error-Corrected Multilevel Modeling. | Morgan-López AA et al. | — | 2025 | → |
| Can Peer Acceptance and Perceptual Accuracy Impact the Effectiveness of Two Formats of a Preventative Intervention on Functional Subtypes of Aggression in Youth? | Heilman ME et al. | — | 2025 | → |
| Genetics of child aggression, a systematic review. | Koyama E et al. | — | 2024 | → |
| Intervention format and therapist-child agreement associated with therapeutic alliance and outcomes. | Lochman JE et al. | — | 2024 | → |
| Theory of Mind: A Brief Review of Candidate Genes. | Silvestri C et al. | — | 2024 | → |
| Oxytocin-Receptor Gene Modulates Reward-Network Connection and Relationship with Empathy Performance. | Li D et al. | — | 2023 | → |
| Genotype-environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use. | Elam KK et al. | — | 2022 | → |
| Oxytocin receptor gene (OXTR) polymorphisms and social, emotional and behavioral functioning in children and adolescents: A systematic narrative review. | Kohlhoff J et al. | — | 2022 | → |
| Substance Use Outcomes from Two Formats of a Cognitive-Behavioral Intervention for Aggressive Children: Moderating Roles of Inhibitory Control and Intervention Engagement. | Lochman JE et al. | — | 2021 | → |
| Social Emotional Learning Program Boosts Early Social and Behavioral Skills in Low-Income Urban Children. | Calhoun B et al. | — | 2020 | → |
| The Association of Oxytocin Receptor Gene (OXTR) Polymorphisms with Antisocial Behavior: A Meta-analysis. | Poore HE et al. | — | 2020 | → |
| Cognitive Behavioral Intervention for Youth at Risk for Conduct Problems: Future Directions. | Lochman JE et al. | — | 2019 | → |
| Developmental Change in Adolescent Delinquency: Modeling Time-Varying Effects of a Preventative Intervention and GABRA2 Halpotype Linked to Alcohol Use. | Schlomer GL et al. | — | 2019 | → |
| Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?" | Dick DM | — | 2018 | → |
| Genomics, Big Data, and Broad Consent: a New Ethics Frontier for Prevention Science. | Fisher CB et al. | — | 2018 | → |
| The Implications of Genetics for Prevention and Intervention Programming. | Musci RJ et al. | — | 2018 | → |