Evidence map›Paper›PMID 36627699›Full record

SynthesisBMC medicine2023

Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth.

Rossella Alfano, Daniela Zugna, Henrique Barros, Mariona Bustamante, Leda Chatzi, Akram Ghantous, Zdenko Herceg, Pekka Keski-Rahkonen, Theo M de Kok, Tim S Nawrot and 8 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Epigenetic Mechanisms in Childhood Obesity.Annals of the New York Academy of Sciences · 2025
    Pooled it
  3. Article
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  6. Review
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  8. Review
  9. Maternal Nutrition, Toxicants, and Epigenetic Programming of Obesity Across Generations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
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  11. Article
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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 11 institutions in 9 countries.

Rossella AlfanoMedical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK.
Daniela ZugnaDepartment of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.
Henrique BarrosInstitute of Public Health, University of Porto, Porto, Portugal.
Mariona BustamanteISGlobal, Institute of Global Health, Barcelona, Spain.
Leda ChatziDepartment of Preventive Medicine, University of Southern California, Los Angeles, USA.
Akram GhantousInternational Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France.
Zdenko HercegInternational Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France.
Pekka Keski-RahkonenInternational Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France.
Theo M de KokDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Tim S NawrotCentre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.
Caroline L ReltonΜedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Oliver RobinsonMedical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK.
Theano RoumeliotakiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
Augustin ScalbertInternational Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France.
Martine VrijheidInternational Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008, Lyon, France.
Paolo VineisMedical Research Council Centre for Environment and Health, Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK.
Lorenzo RichiardiDepartment of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.
Michelle PlusquinCentre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium. michelle.plusquin@uhasselt.be.
Centre International de Recherche sur le Cancer · FRHasselt University · BEUniversity of Turin · ITCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESMaastricht University · NLMedical Research Council · GBMRC Centre for Environment and HealthUniversidade do Porto · PTUniversity of Bristol · GBUniversity of Crete · GRUniversity of Southern California · US

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00032/1Medical Research Council MC_UU_00032/4Medical Research Council MC_UU_00032/5Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12013/8Medical Research Council MR/S019669/1Medical Research Council MR/S03532X/1World Health Organization 001
6 · The paper itself

Abstract

backgroundRapid postnatal growth may result from exposure in utero or early life to adverse conditions and has been associated with diseases later in life and, in particular, with childhood obesity. DNA methylation, interfacing early-life exposures and subsequent diseases, is a possible mechanism underlying early-life programming.

methodsHere, a meta-analysis of Illumina HumanMethylation 450K/EPIC-array associations of cord blood DNA methylation at single CpG sites and CpG genomic regions with rapid weight growth at 1 year of age (defined with reference to WHO growth charts) was conducted in six European-based child cohorts (ALSPAC, ENVIRONAGE, Generation XXI, INMA, Piccolipiù, and RHEA, N = 2003). The association of gestational age acceleration (calculated using the Bohlin epigenetic clock) with rapid weight growth was also explored via meta-analysis. Follow-up analyses of identified DNA methylation signals included prediction of rapid weight growth, mediation of the effect of conventional risk factors on rapid weight growth, integration with transcriptomics and metabolomics, association with overweight in childhood (between 4 and 8 years), and comparison with previous findings.

resultsForty-seven CpGs were associated with rapid weight growth at suggestive p-value <1e-05 and, among them, three CpGs (cg14459032, cg25953130 annotated to ARID5B, and cg00049440 annotated to KLF9) passed the genome-wide significance level (p-value <1.25e-07). Sixteen differentially methylated regions (DMRs) were identified as associated with rapid weight growth at false discovery rate (FDR)-adjusted/Siddak p-values < 0.01. Gestational age acceleration was associated with decreasing risk of rapid weight growth (p-value = 9.75e-04). Identified DNA methylation signals slightly increased the prediction of rapid weight growth in addition to conventional risk factors. Among the identified signals, three CpGs partially mediated the effect of gestational age on rapid weight growth. Both CpGs (N=3) and DMRs (N=3) were associated with differential expression of transcripts (N=10 and 7, respectively), including long non-coding RNAs. An AURKC DMR was associated with childhood overweight. We observed enrichment of CpGs previously reported associated with birthweight.

conclusionsOur findings provide evidence of the association between cord blood DNA methylation and rapid weight growth and suggest links with prenatal exposures and association with childhood obesity providing opportunities for early prevention.

Indexed as

EpigenomePediatric ObesityBirth WeightChildCpG IslandsDNA MethylationFemaleFetal BloodGenome-Wide Association StudyHumansKruppel-Like Transcription FactorsPregnancyKLF9 protein, humanKruppel-Like Transcription FactorsAURKCChildhood overweightDNA methylationGene expressionGestational age accelerationRapid weight growthWeight gain

Identifiers

PMID36627699
PMCPMC9831885
OpenAlexW4315487541

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.