Understanding the factors that contribute to behavioral traits is a complex task, and partitioning variance into latent genetic and environmental components is a useful beginning, but it should not also be the end. Many constructs are influenced by their contextual milieu, and accounting for background effects (such as gene–environment correlation) is necessary to avoid bias. This study introduces a method for examining the interplay between traits, in a longitudinal design using differential items in sibling pairs. The model is validated via simulation and power analysis, and we conclude with an application to paternal praise and ADHD symptoms in a twin sample. The model can help identify what type of genetic and environmental interplay may contribute to the dynamic relationship between traits using a cross-lagged panel framework. Overall, it presents a way to estimate and explicate the developmental interplay between a set of traits, free from many common sources of bias.
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Funding was provided by Institute of Mental Health (Grant No. T32 MH20030).
Conflict of interest
A. Moscati, B. Verhulst, K. L. McKee, J. L. Silberg and L. J. Eaves declare that they have no conflict of interest.
No data was collected for this project. However, data collection in VTSABD, which involved human participants, was in accordance with appropriate ethical standards, including that of the Committee for the Conduct of Human Research at Virginia Commonwealth University and the 1964 Helsinki declaration and its later amendments.
The Committee for the Conduct of Human Research at Virginia Commonwealth University approved the project. Informed consent or assent was obtained from all participants.
Research involving human and animal rights
This article does not contain any studies performed on animals.
Edited by Chandra Reynolds.
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Moscati, A., Verhulst, B., McKee, K. et al. Cross-Lagged Analysis of Interplay Between Differential Traits in Sibling Pairs: Validation and Application to Parenting Behavior and ADHD Symptomatology. Behav Genet 48, 22–33 (2018). https://doi.org/10.1007/s10519-017-9882-y
- Gene–environment interplay
- Gene-environment correlation
- Structural equation modeling
- Parenting behavior