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Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome

Authors :
Joann S. Poh
Li Chen
Michael J. Meaney
Joanna D. Holbrook
Mei-Lyn Ong
Peter D. Gluckman
Neerja Karnani
Kenneth Kwek
Y.S. Chong
Seang M. Saw
Keith M. Godfrey
Ta A. Tuan
Michael S. Kobor
Ai L. Teh
Julia L. MacIsaac
Hong Pan
Anqi Qiu
Marielle V. Fortier
School of Computer Science and Engineering
Source :
Genes, Brain and Behavior. 18
Publication Year :
2019
Publisher :
Wiley, 2019.

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. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Medical Research Council (NMRC) National Medical Research Council, Grant/Award Numbers: NMRC/TCR/004-NUS/2008,NMRC/TCR/012-NUHS/2014; NUS Instituteof Data Science, Singapore; Singapore Ministryof Education; Agency for Science Technologyand Research (ASTAR); Singapore Institute forClinical Sciences; Singapore National ResearchFoundation

Details

ISSN :
1601183X and 16011848
Volume :
18
Database :
OpenAIRE
Journal :
Genes, Brain and Behavior
Accession number :
edsair.doi.dedup.....fc53863d01b8af27430caf144bfe8ccb
Full Text :
https://doi.org/10.1111/gbb.12576