Evidence map›Paper›PMID 29202839›Full record

Observational studyBMC medicine2017

Choice of surrogate tissue influences neonatal EWAS findings.

Xinyi Lin, Ai Ling Teh, Li Chen, Ives Yubin Lim, Pei Fang Tan, Julia L MacIsaac, Alexander M Morin, Fabian Yap, Kok Hian Tan, Seang Mei Saw and 8 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  8. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome.The Journal of clinical endocrinology and metabolism · 2022
    Observational
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  13. Review
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  15. Observational
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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

18 authors at 9 institutions in 4 countries.

Xinyi LinSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Ai Ling TehSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Li ChenSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Ives Yubin LimSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Pei Fang TanSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, 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 SawDuke NUS Medical School, Singapore, 169857, Singapore.
Yung Seng LeeSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Joanna D HolbrookSingapore Institute for Clinical Sciences, A*STAR, 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.
Michael J MeaneySingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, 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.
Yap Seng ChongSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore.
Neerja KarnaniSingapore Institute for Clinical Sciences, A*STAR, Singapore, 117609, Singapore. neerja_karnani@sics.a-star.edu.sg.
Singapore Institute for Clinical Sciences · SGAgency for Science, Technology and Research · SGKK Women's and Children's Hospital · SGNational University of Singapore · SGUniversity of British Columbia · CAChild and Family Research Institute · CADuke-NUS Medical School · SGNIHR Southampton Biomedical Research Centre · GBUniversity of Auckland · NZ

Funding

A*STAR Strategic Position Fund- Theme DBritish Heart Foundation RG/15/17/31749Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4Medical Research Council MR/J000094/1National Institute for Health Research FP7/2007-2013National Medical Research Council NMRC/TCR/004-NUS/2008
6 · The paper itself

Abstract

backgroundEpigenomes are tissue specific and thus the choice of surrogate tissue can play a critical role in interpreting neonatal epigenome-wide association studies (EWAS) and in their extrapolation to target tissue. To develop a better understanding of the link between tissue specificity and neonatal EWAS, and the contributions of genotype and prenatal factors, we compared genome-wide DNA methylation of cord tissue and cord blood, two of the most accessible surrogate tissues at birth.

methodsIn 295 neonates, DNA methylation was profiled using Infinium HumanMethylation450 beadchip arrays. Sites of inter-individual variability in DNA methylation were mapped and compared across the two surrogate tissues at birth, i.e., cord tissue and cord blood. To ascertain the similarity to target tissues, DNA methylation profiles of surrogate tissues were compared to 25 primary tissues/cell types mapped under the Epigenome Roadmap project. Tissue-specific influences of genotype on the variable CpGs were also analyzed. Finally, to interrogate the impact of the in utero environment, EWAS on 45 prenatal factors were performed and compared across the surrogate tissues.

resultsNeonatal EWAS results were tissue specific. In comparison to cord blood, cord tissue showed higher inter-individual variability in the epigenome, with a lower proportion of CpGs influenced by genotype. Both neonatal tissues were good surrogates for target tissues of mesodermal origin. They also showed distinct phenotypic associations, with effect sizes of the overlapping CpGs being in the same order of magnitude.

conclusionsThe inter-relationship between genetics, prenatal factors and epigenetics is tissue specific, and requires careful consideration in designing and interpreting future neonatal EWAS.

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 MethylationFetal BloodGenome-Wide Association StudyUmbilical CordCpG IslandsDNAEpigenesis, GeneticFemaleGenotypeGestational AgeHumansInfant, NewbornMalePregnancyProspective StudiesYoung AdultDNADNA methylationEpigenome-wide association studyGenotypeNeonatePrenatal factorsTissue-specificity

Identifiers

PMID29202839
PMCPMC5715509
OpenAlexW2774339320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.