Evidence map›Paper›PMID 38260407›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Methylation profiles at birth linked to early childhood obesity.

Delphine Lariviere, Sarah J C Craig, Ian M Paul, Emily E Hohman, Jennifer S Savage, Robert O Wright, Francesca Chiaromonte, Kateryna D Makova, Matthew L Reimherr

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Delphine LariviereDepartment of Biochemistry and Molecular Biology, Penn State University, University Park, PA.ORCID 0000-0001-6421-3484
Sarah J C CraigDepartment of Biology, Penn State University, University Park, PA.ORCID 0000-0002-7133-1646
Ian M PaulCenter for Medical Genomics, Penn State University, University Park, PA.
Emily E HohmanCenter for Childhood Obesity Research, Penn State University, University Park, PA.
Jennifer S SavageCenter for Childhood Obesity Research, Penn State University, University Park, PA.
Robert O WrightIcahn School of Medicine, Mount Sinai, New York, NY.
Francesca ChiaromonteCenter for Medical Genomics, Penn State University, University Park, PA.
Kateryna D MakovaDepartment of Biology, Penn State University, University Park, PA.
Matthew L ReimherrCenter for Medical Genomics, Penn State University, University Park, PA.
Pennsylvania State University · USIcahn School of Medicine at Mount Sinai · US

Funding

Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Preventing Obesity through Intervention during InfancyR01DK088244 · NIDDK · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI PAUL, IAN M, WILLIAMS, JENNIFER SAVAGE · 2011 to 2022
$7.0M
BPA, Phthalates & Stress: Mechanisms and Interactions for Childhood ObesityR01ES021357 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2012 to 2016
$3.3M
Environment, Fetal Tissue DNA Methylation & BirthweightR01ES020268 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2011 to 2013
$2.5M
NIDDK NIH HHS R01 DK088244NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES020268NIEHS NIH HHS R01 ES021357
6 · The paper itself

Abstract

Childhood obesity represents a significant global health concern and identifying risk factors is crucial for developing intervention programs. Many 'omics' factors associated with the risk of developing obesity have been identified, including genomic, microbiomic, and epigenomic factors. Here, using a sample of 48 infants, we investigated how the methylation profiles in cord blood and placenta at birth were associated with weight outcomes (specifically, conditional weight gain, body mass index, and weight-for-length ratio) at age six months. We characterized genome-wide DNA methylation profiles using the Illumina Infinium MethylationEpic chip, and incorporated information on child and maternal health, and various environmental factors into the analysis. We used regression analysis to identify genes with methylation profiles most predictive of infant weight outcomes, finding a total of 23 relevant genes in cord blood and 10 in placenta. Notably, in cord blood, the methylation profiles of three genes (

Indexed as

childhood obesityepigeneticsmethylation risk score

Identifiers

PMID38260407
PMCPMC10802761
OpenAlexW4390841234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.