Evidence map›Paper›PMID 30185669›Full record

ArticleJCI insight2018

Gestational diabetes and maternal obesity are associated with epigenome-wide methylation changes in children.

Line Hjort, David Martino, Louise Groth Grunnet, Haroon Naeem, Jovana Maksimovic, Anders Henrik Olsson, Cuilin Zhang, Charlotte Ling, Sjurdur Frodi Olsen, Richard Saffery and 1 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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.

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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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6 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

11 authors at 6 institutions in 4 countries.

Line HjortDepartment of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.
David MartinoCentre for Food and Allergy Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Louise Groth GrunnetDepartment of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.
Haroon NaeemBioinformatics Group, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Jovana MaksimovicDepartment of Pediatrics, Melbourne University, Melbourne, Victoria, Australia.
Anders Henrik OlssonDepartment of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.
Cuilin ZhangDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, Maryland, USA.
Charlotte LingEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, CRC, Scania University Hospital, Malmö, Sweden.
Sjurdur Frodi OlsenCentre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark.
Richard SafferyDepartment of Pediatrics, Melbourne University, Melbourne, Victoria, Australia.
Allan Arthur VaagDepartment of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.
The University of Melbourne · AURigshospitalet · DKEunice Kennedy Shriver National Institute of Child Health and Human Development · USScania (Sweden) · SEStatens Serum Institut · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Offspring of women with gestational diabetes mellitus (GDM) are at increased risk of developing metabolic disease, potentially mediated by epigenetic mechanisms. We recruited 608 GDM and 626 control offspring from the Danish National Birth Cohort, aged between 9 and 16 years. DNA methylation profiles were measured in peripheral blood of 93 GDM offspring and 95 controls using the Illumina HumanMethylation450 BeadChip. Pyrosequencing was performed for validation/replication of putative GDM-associated, differentially methylated CpGs in additional 905 offspring (462 GDM, 444 control offspring). We identified 76 differentially methylated CpGs in GDM offspring compared with controls in the discovery cohort (FDR, P < 0.05). Adjusting for offspring BMI did not affect the association between methylation levels and GDM status for any of the 76 CpGs. Most of these epigenetic changes were due to confounding by maternal prepregnancy BMI; however, 13 methylation changes were independently associated with maternal GDM. Three prepregnancy BMI-associated CpGs (cg00992687 and cg09452568 of ESM1 and cg14328641 of MS4A3) were validated in the replication cohort, while cg09109411 (PDE6A) was found to be associated with GDM status. The identified methylation changes may reflect developmental programming of organ disease mechanisms and/or may serve as disease biomarkers.

Indexed as

Epigenesis, GeneticAdolescentAdultBiomarkersChildDiabetes, GestationalDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansMaleObesityPregnancyBiomarkersDiabetesEmbryonic developmentEndocrinologyEpigeneticsGenetics

Identifiers

PMID30185669
PMCPMC6171795
OpenAlexW2889958681

What OpenQuestion holds

Textmetadata
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.