1. Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome
- Author
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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, and School of Computer Science and Engineering
- Subjects
Male ,0301 basic medicine ,Genotype ,Gene regulatory network ,Physiology ,Biology ,Hippocampal formation ,Developmental Trajectory ,Hippocampus ,Amygdala ,Epigenesis, Genetic ,03 medical and health sciences ,Behavioral Neuroscience ,0302 clinical medicine ,Pregnancy ,Genetics ,medicine ,Humans ,Hippocampus (mythology) ,Epigenetics ,Gene ,Homeodomain Proteins ,Infant, Newborn ,Biological sciences [Science] ,DNA Methylation ,Repressor Proteins ,Diffusion Tensor Imaging ,030104 developmental biology ,medicine.anatomical_structure ,nervous system ,Neurology ,Prenatal Exposure Delayed Effects ,DNA methylation ,Female ,Gene-Environment Interaction ,Stress, Psychological ,030217 neurology & neurosurgery ,Transcription Factors - 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 (ASTAR); Singapore Institute forClinical Sciences; Singapore National ResearchFoundation
- Published
- 2019
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