Evidence map›Paper›PMID 26610292›Full record

ArticleEnvironmental research2016

Presence of an epigenetic signature of prenatal cigarette smoke exposure in childhood.

Christine Ladd-Acosta, Chang Shu, Brian K Lee, Nicole Gidaya, Alison Singer, Laura A Schieve, Diana E Schendel, Nicole Jones, Julie L Daniels, Gayle C Windham and 4 more

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
7.2field-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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  18. Article
  19. The association of in utero tobacco smoke exposure, quantified by serum cotinine, and Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2021
    Article
  20. Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review.International journal of environmental research and public health · 2021
    Review
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

14 authors at 8 institutions in 2 countries.

Christine Ladd-AcostaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Chang ShuDepartment of Mental Health, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Brian K LeeDrexel University School of Public Health, Philadelphia, PA, USA.
Nicole GidayaDrexel University School of Public Health, Philadelphia, PA, USA.
Alison SingerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Laura A SchieveNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Diana E SchendelDepartment of Public Health, Institute of Epidemiology and Social Medicine, Department of Economics and Business, National Centre for Register-based Research, Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark.
Nicole JonesBiomedical Research Informatics Core, Michigan State University, East Lansing, MI, USA.
Julie L DanielsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Gayle C WindhamDivision of Environmental and Occupational Disease Control, California Department of Public Health, Richmond, CA, USA.
Craig J NewschafferDrexel University School of Public Health, Philadelphia, PA, USA; The A.J. Drexel Autism Institute, Drexel University School of Public Health, Philadelphia, PA, USA.
Lisa A CroenKaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Andrew P FeinbergCenter for Epigenetics, Institute for Basic Biomedical Science, Johns Hopkins School of Medicine, Baltimore, MD, USA.
M Daniele FallinDepartment of Mental Health, Johns Hopkins School of Public Health, Baltimore, MD, USA. Electronic address: dfallin@jhu.edu.
Johns Hopkins University · USDrexel University · USCalifornia Department of Public Health · USKaiser Permanente · USLundbeck Foundation · DKMichigan State University · USNational Center on Birth Defects and Developmental Disabilities · USUniversity of North Carolina at Chapel Hill · US

Funding

Centers for Autism & Develop Disabilities Resarch & Epidemiol:A Case-Cohort StudyU10DD000183 · DD · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE · 2006 to 2010
$8.2M
National CADDRE Study: Child Development and AutismU10DD000182 · DD · UNIVERSITY OF PENNSYLVANIA · PI PINTO-MARTIN, JENNIFER A · 2006 to 2010
$5.8M
National CADDRE Study: Child Development and AutismU10DD000181 · DD · KAISER FOUNDATION RESEARCH INSTITUTE · PI CROEN, LISA A · 2006 to 2010
$5.6M
Component A: MD CADDRE: Study to Explore Early Development, SEED Phase IIIU01DD001214 · DD · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE · 2016 to 2020
$5.2M
Colorado CADDRE: A Case-Cohort StudyU10DD000180 · DD · COLORADO STATE DEPT/PUB HLTH & ENVIRONMT · PI MILLER, LISA ANN · 2006 to 2010
$5.1M
North Carolina Ctr for Autism & Development Disabilities Research & EpidemiologyU10DD000184 · DD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DANIELS, JULIE L · 2006 to 2010
$4.7M
Data Coordinating Center for Autism & Other DisabilitiesU01DD000498 · DD · MICHIGAN STATE UNIVERSITY · PI REED, PHILIP L · 2009 to 2011
$2.3M
Intramural CDC HHS CC999999NCBDD CDC HHS 5U10DD000180NCBDD CDC HHS 5U10DD000181NCBDD CDC HHS 5U10DD000182NCBDD CDC HHS 5U10DD000183NCBDD CDC HHS 5U10DD000184NCBDD CDC HHS U01 DD000498NCBDD CDC HHS U01 DD001214NCBDD CDC HHS U10 DD000180NCBDD CDC HHS U10 DD000181NCBDD CDC HHS U10 DD000182NCBDD CDC HHS U10 DD000183NCBDD CDC HHS U10 DD000184NCBDD CDC HHS U10DD000498
6 · The paper itself

Abstract

Prenatal exposure to tobacco smoke has lifelong health consequences. Epigenetic signatures such as differences in DNA methylation (DNAm) may be a biomarker of exposure and, further, might have functional significance for how in utero tobacco exposure may influence disease risk. Differences in infant DNAm associated with maternal smoking during pregnancy have been identified. Here we assessed whether these infant DNAm patterns are detectible in early childhood, whether they are specific to smoking, and whether childhood DNAm can classify prenatal smoke exposure status. Using the Infinium 450K array, we measured methylation at 26 CpG loci that were previously associated with prenatal smoking in infant cord blood from 572 children, aged 3-5, with differing prenatal exposure to cigarette smoke in the Study to Explore Early Development (SEED). Striking concordance was found between the pattern of prenatal smoking associated DNAm among preschool aged children in SEED and those observed at birth in other studies. These DNAm changes appear to be tobacco-specific. Support vector machine classification models and 10-fold cross-validation were applied to show classification accuracy for childhood DNAm at these 26 sites as a biomarker of prenatal smoking exposure. Classification models showed prenatal exposure to smoking can be assigned with 81% accuracy using childhood DNAm patterns at these 26 loci. These findings support the potential for blood-derived DNAm measurements to serve as biomarkers for prenatal exposure.

Indexed as

DNA MethylationBiomarkersCase-Control StudiesChild, PreschoolCpG IslandsEpigenesis, GeneticEpigenomicsFemaleHumansMalePregnancyPrenatal Exposure Delayed EffectsSmokeSmokingSupport Vector MachineUnited StatesBiomarkersSmokeBiomarkerChildhoodDNA methylationEpigeneticsPrenatal smoking exposure

Identifiers

PMID26610292
PMCPMC4915563
OpenAlexW2174327813

What OpenQuestion holds

Textmetadata
LicenceTDM
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.