Evidence map›Paper›PMID 24709820›Full record

ArticleGenome research2014

The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes.

Ai Ling Teh, Hong Pan, Li Chen, Mei-Lyn Ong, Shaillay Dogra, Johnny Wong, Julia L MacIsaac, Sarah M Mah, Lisa M McEwen, Seang-Mei Saw and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

149 citing papers in PubMed, 3 syntheses or guidelines pooled it, 358 citations in OpenAlex.

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  12. A Recursive Model Approach to Include Epigenetic Effects in Genetic Evaluations Using Simulated DNA Methylation Effects.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 9 institutions in 4 countries.

Ai Ling TehSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Hong PanSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609; School of Computer Engineering, Nanyang Technological University (NTU), Singapore 639798;
Li ChenSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Mei-Lyn OngSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Shaillay DograSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Johnny WongSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Julia L MacIsaacCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4 Canada;
Sarah M MahCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4 Canada;
Lisa M McEwenCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4 Canada;
Seang-Mei SawSaw Swee Hock School of Public Health, NUS, Singapore 117597;
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, United Kingdom;
Yap-Seng ChongSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609; Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore 119228;
Kenneth KwekKK Women's and Children's Hospital, Singapore 229899;
Chee-Keong KwohSchool of Computer Engineering, Nanyang Technological University (NTU), Singapore 639798;
Shu-E SohSaw Swee Hock School of Public Health, NUS, Singapore 117597; Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore 119228;
Mary F F ChongSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609; Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore 119228;
Sheila BartonMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, United Kingdom;
Neerja KarnaniSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Clara Y CheongSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Jan Paul BuschdorfSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Walter StünkelSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Michael S KoborCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4 Canada;
Michael J MeaneySingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609; Ludmer Centre for Neuroinformatics and Mental Health, Douglas University Mental Health Institute, McGill University, Montreal, (Quebec) H4H 1R3 Canada;
Peter D GluckmanSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland 1142, New Zealand.
Joanna D HolbrookSingapore Institute of Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore 117609;
Singapore Institute for Clinical Sciences · SGUniversity of British Columbia · CANational University of Singapore · SGNanyang Technological University · SGUniversity Hospital Southampton NHS Foundation Trust · GBDouglas Mental Health University Institute · CAKK Women's and Children's Hospital · SGNational University Health System · SGUniversity of Auckland · NZ

Funding

Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

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.

Indexed as

DNA MethylationEnvironmentEpigenesis, GeneticGene-Environment InteractionGenetic HeterogeneityGenotypeTranscriptomeComputational BiologyCpG IslandsEpigenomicsFemaleHumansInfant, NewbornMalePolymorphism, Single NucleotidePregnancy

Identifiers

PMID24709820
PMCPMC4079963
OpenAlexW2015364707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.