Evidence map›Paper›PMID 40420521›Full record

SynthesisInternational journal of epidemiology2025

Newborn blood DNA methylation and childhood asthma: findings from the ECHO program.

Yijun Li, Krystin Jones, Carole Ober, Anne P Starling, William A Gower, Leonard B Bacharier, Aruna Chandran, Dana M Dabelea, Rebecca C Fry, Diane R Gold and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in International journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

18 authors.

Yijun LiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Krystin JonesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Carole OberDepartment of Human Genetics, University of Chicago, Chicago, IL, United States.
Anne P StarlingDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-6638-8314
William A GowerDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Leonard B BacharierDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States.
Aruna ChandranDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Dana M DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0001-9514-8929
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-0899-9018
Diane R GoldThe Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Kasper D HansenDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Julie B HerbstmanDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States.
Marie-France HivertDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, United States.
Corinne KeetDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rachel L MillerDepartment of Medicine, Division of Clinical Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Lisa P JacobsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Christine Ladd-AcostaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-7697-3998
Program Collaborators for Environmental Influences on Child Health Outcomes

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BRYAN C BERGMAN · 1995 to 2026
$32.6M
Environmental Influences on Child Health OutcomesNIDDK NIH HHS P30 DK048520NIH HHS U24 OD023319NIH HHS U24OD023319NIH HHS U24 OD023382NIH HHS U24OD023382NIH HHS U2C OD023375NIH HHS U2COD023375
6 · The paper itself

Abstract

backgroundDNA methylation (DNAm) at birth has been linked to childhood asthma in epigenome-wide association studies (EWASs). However, existing EWASs have limited representation of non-European and extremely preterm participants and have not explored sex-specific DNAm differences. This study examined the association between DNAm in newborn blood and subsequent childhood asthma risk in a diverse population.

methodsData from the Environmental influences on Child Health Outcomes (ECHO) Program were used for EWAS meta-analyses in United States (US) cohorts of children born before and after 28 weeks of gestation. DNAm was measured in newborn blood using Illumina arrays. Childhood asthma was defined as provider-diagnosed asthma with persistent symptoms beyond age 5. Linear regression was used to identify differentially methylated positions (DMPs), and "comb-p" was used to identify differentially methylated regions (DMRs). Sex-stratified analyses were performed.

resultsThe meta-analysis included 942 children (369 asthma cases) born after 28 weeks of gestation. We identified a novel DMP (cg24749470 in CADM1, P = 9.31 × 10-8) and 18 DMRs (Šidák P-value <.001) associated with asthma, with four DMRs in the human leukocyte antigen region. At these four DMRs, the association between DNAm and asthma differed by sex. In the extremely preterm cohort (n = 271, 106 asthma cases), we identified 20 DMRs, with two novel asthma-associated DMPs (cg03237868 in SPATA18, P = 2.71 × 10-8; cg20681219 in IRF2, P = 5.18 × 10-8) identified in males.

conclusionIn US children born before and after 28 weeks of gestation, we discovered novel genomic loci linking newborn blood DNAm to childhood asthma, suggesting DNAm involvement in early asthma development.

Indexed as

AsthmaDNA MethylationChildChild, PreschoolEpigenesis, GeneticFemaleGenome-Wide Association StudyGestational AgeHumansInfant, NewbornMaleSex FactorsUnited Stateschildhood asthmaDNA methylationepigenome-wide association studynewborn blood

Identifiers

PMID40420521
PMCPMC12106279

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.