Please use this identifier to cite or link to this item: https://doi.org/10.1111/gbb.12576
Title: Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome
Authors: Ong M.-L.
Tuan T.A. 
Poh J. 
Teh A.L.
Chen L.
Pan H.
MacIsaac J.L.
Kobor M.S.
Chong Y.S. 
Kwek K. 
Saw S.M. 
Godfrey K.M.
Gluckman P.D. 
Fortier M.V. 
Karnani N. 
Meaney M.J. 
Qiu A. 
Holbrook J.D. 
Keywords: developmental trajectory
diffusion tensor imaging
epigenetics
magnetic resonance imaging
neonatal brain
Issue Date: 2019
Publisher: Blackwell Publishing Ltd
Citation: Ong M.-L., Tuan T.A., Poh J., Teh A.L., Chen L., Pan H., MacIsaac J.L., Kobor M.S., Chong Y.S., Kwek K., Saw S.M., Godfrey K.M., Gluckman P.D., Fortier M.V., Karnani N., Meaney M.J., Qiu A., Holbrook J.D. (2019). Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome. Genes, Brain and Behavior 18 (7). ScholarBank@NUS Repository. https://doi.org/10.1111/gbb.12576
Abstract: The amygdala and hippocampus undergo rapid development in early life. The relative contribution of genetic and environmental factors to the establishment of their developmental trajectories has yet to be examined. We performed imaging on neonates and examined how the observed variation in volume and microstructure of the amygdala and hippocampus varied by genotype, and compared with prenatal maternal mental health and socioeconomic status. Gene × Environment models outcompeted models containing genotype or environment only to best explain the majority of measures but some, especially of the amygdaloid microstructure, were best explained by genotype only. Models including DNA methylation measured in the neonate umbilical cords outcompeted the Gene and Gene × Environment models for the majority of amygdaloid measures and minority of hippocampal measures. This study identified brain region-specific gene networks associated with individual differences in fetal brain development. In particular, genetic and epigenetic variation within CUX1 was highlighted. © 2019 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society
Source Title: Genes, Brain and Behavior
URI: https://scholarbank.nus.edu.sg/handle/10635/185866
ISSN: 16011848
DOI: 10.1111/gbb.12576
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