Publication

Biological embedding of experience: A primer on epigenetics

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Last modified
  • 05/15/2025
Type of Material
Authors
    Maria J. Aristizabal, University of TorontoIna Anreiter, University of TorontoThorhildur Halldorsdottir, University of IcelandCandice L. Odgers, MaRS CentreThomas W. McDade, MaRS CentreAnna Goldenberg, MaRS CentreSara Mostafavi, MaRS CentreMichael S. Kobor, University of British ColumbiaElisabeth Binder, Emory UniversityMarla B. Sokolowski, University of TorontoKieran J. O'Donnell, MaRS Centre
Language
  • English
Date
  • 2020-09-22
Publisher
  • NATL ACAD SCIENCES
Publication Version
Copyright Statement
  • Published under the PNAS license
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 117
Issue
  • 38
Start Page
  • 23261
End Page
  • 23269
Grant/Funding Information
  • A.G., C.L.O., E.B.B., M.S.K., M.B.S., S.M., and T.W.M. are fellows in the CBD Program. M.J.A. is supported by a Natural Sciences and Engineering Research Council of Canada postdoctoral fellowship. K.J.O. is a CIFAR Azrieli Global Scholar in the CBD Program. M.B.S. is a CIFAR Weston Fellow.
Abstract
  • 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.
Author Notes
Keywords
Research Categories
  • Biology, Genetics
  • Psychology, Cognitive
  • Health Sciences, Epidemiology

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