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Cross-Lagged Analysis of Interplay Between Differential Traits in Sibling Pairs: Validation and Application to Parenting Behavior and ADHD Symptomatology

Authors
  • Moscati, Arden1, 2
  • Verhulst, Brad3
  • McKee, Kevin2
  • Silberg, Judy2
  • Eaves, Lindon2
  • 1 Icahn School of Medicine at Mount Sinai, Charles Bronfman Institute for Personalized Medicine, New York, NY, USA , New York (United States)
  • 2 Virginia Commonwealth University School of Medicine, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA , Richmond (United States)
  • 3 Michigan State University, Department of Psychology, East Lansing, MI, USA , East Lansing (United States)
Type
Published Article
Journal
Behavior Genetics
Publisher
Springer-Verlag
Publication Date
Nov 17, 2017
Volume
48
Issue
1
Pages
22–33
Identifiers
DOI: 10.1007/s10519-017-9882-y
Source
Springer Nature
Keywords
License
Yellow

Abstract

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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