Biological embedding of experience: A primer on epigenetics

  • Maria J. Aristizabal
    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada;
  • Ina Anreiter
    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada;
  • Thorhildur Halldorsdottir
    Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland;
  • Candice L. Odgers
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
  • Thomas W. McDade
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
  • Anna Goldenberg
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
  • Sara Mostafavi
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
  • Michael S. Kobor
    Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC, V52 4H4, Canada;
  • Elisabeth B. Binder
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
  • Marla B. Sokolowski
    Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada;
  • Kieran J. O’Donnell
    Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;

説明

<jats:p>Biological embedding occurs when life experience alters biological processes to affect later life health and well-being. Although extensive correlative data exist supporting the notion that epigenetic mechanisms such as DNA methylation underlie biological embedding, causal data are lacking. We describe specific epigenetic mechanisms and their potential roles in the biological embedding of experience. We also consider the nuanced relationships between the genome, the epigenome, and gene expression. Our ability to connect biological embedding to the epigenetic landscape in its complexity is challenging and complicated by the influence of multiple factors. These include cell type, age, the timing of experience, sex, and DNA sequence. Recent advances in molecular profiling and epigenome editing, combined with the use of comparative animal and human longitudinal studies, should enable this field to transition from correlative to causal analyses.</jats:p>

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