Evidence map›Paper›PMID 29064478›Full record

ArticleInternational journal of obesity (2005)2018

DNA methylation in blood from neonatal screening cards and the association with BMI and insulin sensitivity in early childhood.

S J van Dijk, T J Peters, M Buckley, J Zhou, P A Jones, R A Gibson, M Makrides, B S Muhlhausler, P L Molloy

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 5 pooled it
5.5field-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

57 citing papers in PubMed, 5 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Epigenetic Mechanisms in Childhood Obesity.Annals of the New York Academy of Sciences · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Non-coding 886 (Epigenetics · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors at 6 institutions in 2 countries.

S J van DijkCSIRO Health and Biosecurity, North Ryde, NSW, Australia.
T J PetersEpigenetics Research Laboratory, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
M BuckleyCSIRO Data61, North Ryde, NSW, Australia.
J ZhouFOODplus Research Centre, School of Agriculture Food and Wine, The University of Adelaide, Adelaide, SA, Australia.
P A JonesVan Andel Research Institute, Grand Rapids, MI, USA.
R A GibsonFOODplus Research Centre, School of Agriculture Food and Wine, The University of Adelaide, Adelaide, SA, Australia.
M MakridesChild Nutrition Research Centre, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
B S MuhlhauslerFOODplus Research Centre, School of Agriculture Food and Wine, The University of Adelaide, Adelaide, SA, Australia.
P L MolloyCSIRO Health and Biosecurity, North Ryde, NSW, Australia.
University of Adelaide · AUCSIRO Health and Biosecurity · AUData61 · AUGarvan Institute of Medical Research · AUSouth Australian Health and Medical Research Institute · AUVan Andel Institute · US

Funding

Targeting DNA Methylation and the Cancer EpigenomeR35CA209859 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI PETER A JONES · 2017 to 2026
$11.9M
NCI NIH HHS R35 CA209859
6 · The paper itself

Abstract

BACKGROUND/

objectivesThere is increasing evidence that metabolic diseases originate in early life, and epigenetic changes have been implicated as key drivers of this early life programming. This led to the hypothesis that epigenetic marks present at birth may predict an individual's future risk of obesity and type 2 diabetes. In this study, we assessed whether epigenetic marks in blood of newborn children were associated with body mass index (BMI) and insulin sensitivity later in childhood. SUBJECTS/

methodsDNA methylation was measured in neonatal blood spot samples of 438 children using the Illumina Infinium 450 k BeadChip. Associations were assessed between DNA methylation at birth and BMI z-scores, body fat mass, fasting plasma glucose, insulin and homeostatic model assessment of insulin resistance (HOMA-IR) at age 5 years, as well as birth weight, maternal BMI and smoking status.

resultsNo individual methylation sites at birth were associated with obesity or insulin sensitivity measures at 5 years. DNA methylation in 69 genomic regions at birth was associated with BMI z-scores at age 5 years, and in 63 regions with HOMA-IR. The methylation changes were generally small (<5%), except for a region near the non-coding RNA nc886 (VTRNA2-1) where a clear link between methylation status at birth and BMI in childhood was observed (P=0.001). Associations were also found between DNA methylation, maternal smoking and birth weight.

conclusionsWe identified a number of DNA methylation regions at birth that were associated with obesity or insulin sensitivity measurements in childhood. These findings support the mounting evidence on the role of epigenetics in programming of metabolic health. Whether many of these small changes in DNA methylation are causally related to the health outcomes, and of clinical relevance, remains to be determined, but the nc886 region represents a promising obesity risk marker that warrants further investigation.

Indexed as

Body Mass IndexDNA MethylationDried Blood Spot TestingFemaleFetal BloodFollow-Up StudiesHumansInfant, NewbornInsulin ResistanceMaleNeonatal ScreeningPediatric ObesityRandomized Controlled Trials as Topic

Identifiers

PMID29064478
OpenAlexW2757030954

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.