Evidence map›Paper›PMID 38219005›Full record

ArticleInternational journal of obesity (2005)2024

Epigenome-wide association study of DNA methylation in maternal blood leukocytes with BMI in pregnancy and gestational weight gain.

J O Opsahl, N Fragoso-Bargas, Y Lee, E Ø Carlsen, N Lekanova, E Qvigstad, L Sletner, A K Jenum, S Lee-Ødegård, R B Prasad and 3 more

Open access · hybridAbstract readClinical Study
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.4field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

13 authors at 6 institutions in 5 countries.

J O OpsahlInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
N Fragoso-BargasInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Y LeeCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-2512-1082
E Ø CarlsenCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
N LekanovaDepartment of Biosciences, The Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
E QvigstadInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
L SletnerDepartment of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway.ORCID 0000-0002-5085-7366
A K JenumGeneral Practice Research Unit, Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway.
S Lee-ØdegårdInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
R B PrasadLund University Diabetes Centre, Malmö, Sweden.ORCID 0000-0002-4400-6741
K I BirkelandInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
G-H MoenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
C SommerDepartment of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway. christine.sommer@medisin.uio.no.ORCID 0000-0002-7370-8988
Oslo University Hospital · NOUniversity of Oslo · NONorwegian Institute of Public Health · NOAkershus University Hospital · NOThe University of Queensland · AUUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to discover CpG sites with differential DNA methylation in peripheral blood leukocytes associated with body mass index (BMI) in pregnancy and gestational weight gain (GWG) in women of European and South Asian ancestry. Furthermore, we aimed to investigate how the identified sites were associated with methylation quantitative trait loci, gene ontology, and cardiometabolic parameters.

methodsIn the Epigenetics in pregnancy (EPIPREG) sample we quantified maternal DNA methylation in peripheral blood leukocytes in gestational week 28 with Illumina's MethylationEPIC BeadChip. In women with European (n = 303) and South Asian (n = 164) ancestry, we performed an epigenome-wide association study of BMI in gestational week 28 and GWG between gestational weeks 15 and 28 using a meta-analysis approach. Replication was performed in the Norwegian Mother, Father, and Child Cohort Study, the Study of Assisted Reproductive Technologies (MoBa-START) (n = 877, mainly European/Norwegian).

resultsWe identified one CpG site significantly associated with GWG (p 5.8 × 10-8) and five CpG sites associated with BMI at gestational week 28 (p from 4.0 × 10-8 to 2.1 × 10-10). Of these, we were able to replicate three in MoBa-START; cg02786370, cg19758958 and cg10472537. Two sites are located in genes previously associated with blood pressure and BMI. DNA methylation at the three replicated CpG sites were associated with levels of blood pressure, lipids and glucose in EPIPREG (p from 1.2 × 10

conclusionsWe identified five CpG sites associated with BMI at gestational week 28, and one with GWG. Three of the sites were replicated in an independent cohort. Several genetic variants were associated with DNA methylation at cg02786379 and cg16733643 suggesting a genetic component influencing differential methylation. The identified CpG sites were associated with cardiometabolic traits. CLINICALTRIALS: GOV REGISTRATION NO: Not applicable.

Indexed as

Cardiovascular DiseasesGestational Weight GainBody Mass IndexCohort StudiesDNA MethylationEpigenesis, GeneticEpigenomeEuropean PeopleFemaleGenome-Wide Association StudyHumansLeukocytesMeta-Analysis as TopicPregnancySouth Asian People

Identifiers

PMID38219005
PMCPMC10978488
OpenAlexW4390839757

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Registered trials

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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.