A longitudinal twin study of physical aggression during early childhood: evidence for a developmentally dynamic genome

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Author(s): University of Montreal and CHU Sainte-Justine University Hospital Research Center

  • Eric Lacourse, PhD
  • Michel Boivin, PhD
  • Mara Brendgen, PhD
  • Amélie Petitclerc, PhD
  • Alain Girard, MSc
  • Frank Vitaro, PhD
  • Stéphane Paquin, PhD candidate
  • Isabelle Ouellet-Morin, PhD
  • Ginette Dionne, PhD
  • Richard E. Tremblay, PhD


Report Intro/Brief:
"Background - Physical aggression (PA) tends to have its onset in infancy and to increase rapidly in frequency. Very little is known about the genetic and environmental etiology of PA development during early childhood. We investigated the temporal pattern of genetic and environmental etiology of PA during this crucial developmental period.

Method - Participants were 667 twin pairs, including 254 monozygotic and 413 dizygotic pairs, from the ongoing longitudinal Quebec Newborn Twin Study. Maternal reports of PA were obtained from three waves of data at 20, 32 and 50 months. These reports were analysed using a biometric Cholesky decomposition and linear latent growth curve model.

Results - The best-fitting Cholesky model revealed developmentally dynamic effects, mostly genetic attenuation and innovation. The contribution of genetic factors at 20 months substantially decreased over time, while new genetic effects appeared later on. The linear latent growth curve model revealed a significant moderate increase in PA from 20 to 50 months. Two separate sets of uncorrelated genetic factors accounted for the variation in initial level and growth rate. Non-shared and shared environments had no effect on the stability, initial status and growth rate in PA.

Conclusions - Genetic factors underlie PA frequency and stability during early childhood; they are also responsible for initial status and growth rate in PA. The contribution of shared environment is modest, and perhaps limited, as it appears only at 50 months. Future research should investigate the complex nature of these dynamic genetic factors through genetic–environment correlation (r GE) and interaction (G × E) analyses."
-from the abstract