Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome
Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome
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.
developmental trajectory, diffusion tensor imaging, epigenetics, magnetic resonance imaging, neonatal brain
Ong, Mei Lyn
f5580640-95e1-4da7-9295-5c498dba6497
Tuan, Ta A.
6d60ce49-4d09-41cc-b412-ab9d3b9b46cf
Poh, Joann
a15aca3c-89bc-4e93-bb1f-80eb486d3588
Teh, Ai L.
af437ef4-60d8-4b1f-9c3c-54ab35a1ac23
Chen, Li
f3a2d18d-f336-4efb-887e-afd3aa0cb410
Pan, Hong
89ffb703-039c-4adc-9de9-1a125d3b2cf1
MacIsaac, Julia L.
4e74f97f-0016-4bfd-9154-25fa22e2a4b6
Kobor, Michael S.
e387ab6f-d060-4d39-95c6-acf0c3b9687b
Chong, Yap S.
7043124b-e892-4d4b-8bb7-6d35ed94e136
Kwek, Kenneth
020d4ba4-4abe-4d07-84ec-b7787d94277d
Saw, Seang M.
54ff7be9-beda-4b86-b4db-9168b142e53b
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Gluckman, Peter D.
20557908-bee4-4c9f-bcca-950e8de3d704
Fortier, Marielle V.
8b9dc5de-429c-4f04-908c-5b4125fa019a
Karnani, Neerja
f4d4879d-3be1-4d6d-8d37-48af1035a4cf
Meaney, Michael J.
5c6db45a-1f5b-4e1f-8c0b-07a8f7b29f66
Qiu, Anqi
32aaabc2-b890-439e-b2e6-5235fe22b845
Holbrook, Joanna D.
69989b79-2710-4f12-946e-c6214e1b6513
1 September 2019
Ong, Mei Lyn
f5580640-95e1-4da7-9295-5c498dba6497
Tuan, Ta A.
6d60ce49-4d09-41cc-b412-ab9d3b9b46cf
Poh, Joann
a15aca3c-89bc-4e93-bb1f-80eb486d3588
Teh, Ai L.
af437ef4-60d8-4b1f-9c3c-54ab35a1ac23
Chen, Li
f3a2d18d-f336-4efb-887e-afd3aa0cb410
Pan, Hong
89ffb703-039c-4adc-9de9-1a125d3b2cf1
MacIsaac, Julia L.
4e74f97f-0016-4bfd-9154-25fa22e2a4b6
Kobor, Michael S.
e387ab6f-d060-4d39-95c6-acf0c3b9687b
Chong, Yap S.
7043124b-e892-4d4b-8bb7-6d35ed94e136
Kwek, Kenneth
020d4ba4-4abe-4d07-84ec-b7787d94277d
Saw, Seang M.
54ff7be9-beda-4b86-b4db-9168b142e53b
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Gluckman, Peter D.
20557908-bee4-4c9f-bcca-950e8de3d704
Fortier, Marielle V.
8b9dc5de-429c-4f04-908c-5b4125fa019a
Karnani, Neerja
f4d4879d-3be1-4d6d-8d37-48af1035a4cf
Meaney, Michael J.
5c6db45a-1f5b-4e1f-8c0b-07a8f7b29f66
Qiu, Anqi
32aaabc2-b890-439e-b2e6-5235fe22b845
Holbrook, Joanna D.
69989b79-2710-4f12-946e-c6214e1b6513
Ong, Mei Lyn, Tuan, Ta A., Poh, Joann, Teh, Ai L., Chen, Li, Pan, Hong, MacIsaac, Julia L., Kobor, Michael S., Chong, Yap S., Kwek, Kenneth, Saw, Seang M., Godfrey, Keith M., Gluckman, Peter D., Fortier, Marielle V., Karnani, Neerja, Meaney, Michael J., Qiu, Anqi and Holbrook, Joanna 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), [e12576].
(doi: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.
This record has no associated files available for download.
More information
Accepted/In Press date: 13 April 2019
e-pub ahead of print date: 24 April 2019
Published date: 1 September 2019
Keywords:
developmental trajectory, diffusion tensor imaging, epigenetics, magnetic resonance imaging, neonatal brain
Identifiers
Local EPrints ID: 434575
URI: http://eprints.soton.ac.uk/id/eprint/434575
ISSN: 1601-1848
PURE UUID: d255921f-0902-4ff4-afaa-e2cb01cea760
Catalogue record
Date deposited: 02 Oct 2019 16:30
Last modified: 18 Mar 2024 02:38
Export record
Altmetrics
Contributors
Author:
Mei Lyn Ong
Author:
Ta A. Tuan
Author:
Joann Poh
Author:
Ai L. Teh
Author:
Li Chen
Author:
Hong Pan
Author:
Julia L. MacIsaac
Author:
Michael S. Kobor
Author:
Yap S. Chong
Author:
Kenneth Kwek
Author:
Seang M. Saw
Author:
Peter D. Gluckman
Author:
Marielle V. Fortier
Author:
Neerja Karnani
Author:
Michael J. Meaney
Author:
Anqi Qiu
Author:
Joanna D. Holbrook
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics