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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 |
Appears in Collections: | Staff Publications Elements |
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