The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes
Author(s) -
Ai Ling Teh,
Hong Pan,
Li Chen,
MeiLyn Ong,
Shaillay Kumar Dogra,
Johnny Wong,
Julia L. MacIsaac,
Sarah M Mah,
Lisa M. McEwen,
SeangMei Saw,
Keith M. Godfrey,
Yap Seng Chong,
Kenneth Kwek,
Chee-Keong Kwoh,
ShuE Soh,
Mary FoongFong Chong,
Sheila J. Barton,
Neerja Karnani,
Clara Yujing Cheong,
Jan Paul Buschdorf,
Walter Stünkel,
Michael S. Kobor,
Michael J. Meaney,
Peter D. Gluckman,
Joanna D. Holbrook
Publication year - 2014
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.171439.113
Subject(s) - dna methylation , biology , epigenetics , genetics , genotype , in utero , methylation , genetic variation , dna , fetus , gene , pregnancy , gene expression
Integrating the genotype with epigenetic marks holds the promise of better understanding the biology that underlies the complex interactions of inherited and environmental components that define the developmental origins of a range of disorders. The quality of the in utero environment significantly influences health over the lifecourse. Epigenetics, and in particular DNA methylation marks, have been postulated as a mechanism for the enduring effects of the prenatal environment. Accordingly, neonate methylomes contain molecular memory of the individual in utero experience. However, interindividual variation in methylation can also be a consequence of DNA sequence polymorphisms that result in methylation quantitative trait loci (methQTLs) and, potentially, the interaction between fixed genetic variation and environmental influences. We surveyed the genotypes and DNA methylomes of 237 neonates and found 1423 punctuate regions of the methylome that were highly variable across individuals, termed variably methylated regions (VMRs), against a backdrop of homogeneity. MethQTLs were readily detected in neonatal methylomes, and genotype alone best explained ∼25% of the VMRs. We found that the best explanation for 75% of VMRs was the interaction of genotype with different in utero environments, including maternal smoking, maternal depression, maternal BMI, infant birth weight, gestational age, and birth order. Our study sheds new light on the complex relationship between biological inheritance as represented by genotype and individual prenatal experience and suggests the importance of considering both fixed genetic variation and environmental factors in interpreting epigenetic variation.
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