Evidence map›Paper›PMID 28264723›Full record

ArticleBMC medicine2017

Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome.

Xinyi Lin, Ives Yubin Lim, Yonghui Wu, Ai Ling Teh, Li Chen, Izzuddin M Aris, Shu E Soh, Mya Thway Tint, Julia L MacIsaac, Alexander M Morin and 12 more

Registry-linked trialAbstract read
In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01174875 (Developmental Pathways to Health and Disease), which is not on this map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 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.

NCT01174875 active not recruitingnot on this map

Developmental Pathways to Health and Disease: Metabolic, Neurodevelopmental and Related Outcomes

TypeobservationalSponsorNational University Hospital, SingaporeRan2009 to 2029Enrolled1,247ConditionsMetabolic Diseases, Neurological and Mental Health Conditions, Genetic Predisposition, Skin Condition
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Fetal programming of obesity and type 2 diabetes.World journal of diabetes · 2022
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2 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

22 authors.

Xinyi LinSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Ives Yubin LimSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Yonghui WuSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Ai Ling TehSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Li ChenSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Izzuddin M ArisSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Shu E SohSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Mya Thway TintDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.
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.
Alexander M MorinCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Fabian YapKK Women's and Children's Hospital, Singapore, 229899, Singapore.
Kok Hian TanKK Women's and Children's Hospital, Singapore, 229899, Singapore.
Seang Mei SawSaw Swee Hock School of Public Health, National University of Singapore, Singapore, 117597, Singapore.
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 for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
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, UK.
Yap Seng ChongSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Joanna D HolbrookSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Yung Seng LeeSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.
Neerja KarnaniSingapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore. neerja_karnani@sics.a-star.edu.sg.
GUSTO study group

Funding

British Heart Foundation RG/15/17/31749Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

backgroundObesity is an escalating health problem worldwide, and hence the causes underlying its development are of primary importance to public health. There is growing evidence that suboptimal intrauterine environment can perturb the metabolic programing of the growing fetus, thereby increasing the risk of developing obesity in later life. However, the link between early exposures in the womb, genetic susceptibility, and perturbed epigenome on metabolic health is not well understood. In this study, we shed more light on this aspect by performing a comprehensive analysis on the effects of variation in prenatal environment, neonatal methylome, and genotype on birth weight and adiposity in early childhood.

methodsIn a prospective mother-offspring cohort (N = 987), we interrogated the effects of 30 variables that influence the prenatal environment, umbilical cord DNA methylation, and genotype on offspring weight and adiposity, over the period from birth to 48 months. This is an interim analysis on an ongoing cohort study.

resultsEleven of 30 prenatal environments, including maternal adiposity, smoking, blood glucose and plasma unsaturated fatty acid levels, were associated with birth weight. Polygenic risk scores derived from genetic association studies on adult adiposity were also associated with birth weight and child adiposity, indicating an overlap between the genetic pathways influencing metabolic health in early and later life. Neonatal methylation markers from seven gene loci (ANK3, CDKN2B, CACNA1G, IGDCC4, P4HA3, ZNF423 and MIRLET7BHG) were significantly associated with birth weight, with a subset of these in genes previously implicated in metabolic pathways in humans and in animal models. Methylation levels at three of seven birth weight-linked loci showed significant association with prenatal environment, but none were affected by polygenic risk score. Six of these birth weight-linked loci continued to show a longitudinal association with offspring size and/or adiposity in early childhood.

conclusionsThis study provides further evidence that developmental pathways to adiposity begin before birth and are influenced by environmental, genetic and epigenetic factors. These pathways can have a lasting effect on offspring size, adiposity and future metabolic outcomes, and offer new opportunities for risk stratification and prevention of obesity. CLINICAL

trial registrationThis birth cohort is a prospective observational study, designed to study the developmental origins of health and disease, and was retrospectively registered on 1 July 2010 under the identifier NCT01174875 .

Indexed as

DNA MethylationAdiposityBirth WeightEnvironmentEpigenomicsFemaleGenome-Wide Association StudyGenotypeHumansInfant, NewbornObesityProspective StudiesBirth weightDNA methylationEpigenome-wide association studyOffspring adiposityPrenatal environment

Identifiers

PMID28264723
PMCPMC5340003

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Registered trials

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.