Evidence map›Paper›PMID 25906783›Full record

ArticleInternational journal of epidemiology2015

Prenatal mercury concentration is associated with changes in DNA methylation at TCEANC2 in newborns.

Kelly M Bakulski, HwaJin Lee, Jason I Feinberg, Ellen M Wells, Shannon Brown, Julie B Herbstman, Frank R Witter, Rolf U Halden, Kathleen Caldwell, Mary Ellen Mortensen and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
9.0field-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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  12. Annals of global health · 2021
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  19. Rethinking the Dental Amalgam Dilemma: An Integrated Toxicological Approach.International journal of environmental research and public health · 2019
    Review
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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

17 authors at 8 institutions in 1 country.

Kelly M BakulskiJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
HwaJin LeeJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jason I FeinbergJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ellen M WellsPurdue University, School of Health Sciences, West Lafayette, Indiana, USA.
Shannon BrownJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Julie B HerbstmanJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Columbia University Mailman School of Public Health, New York City, New York, USA.
Frank R WitterJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Rolf U HaldenJohns Hopkins University School of Medicine, Baltimore, Maryland, USA, Arizona State University, Fulton School of Engineering, Tempe, Arizona, USA.
Kathleen CaldwellNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mary Ellen MortensenNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Andrew E JaffeJohns Hopkins University School of Medicine, Baltimore, Maryland, USA, Lieber Institute for Brain Development, Baltimore, Maryland, USA.
John MoyeEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA and.
Laura E CaulfieldJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Yi PanNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Lynn R GoldmanJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, George Washington University School of Public Health, Washington D.C., USA.
Andrew P FeinbergJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
M Daniele FallinJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, dfallin@jhu.edu.
Johns Hopkins University · USCenters for Disease Control and Prevention · USJohns Hopkins Medicine · USColumbia University · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USLieber Institute for Brain Development · USNational Center for Environmental Health · USPurdue University West Lafayette · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Environment, The Perinatal Epigenome, and Risk for Autism and Related DisordersR01ES017646 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE, FEINBERG, ANDREW P. · 2009 to 2013
$8.7M
NCI NIH HHS P30 CA006973NIEHS NIH HHS ES017646NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R01 ES017646PHS HHS HHSN275200503396CPHS HHS HHSN275200503410CPHS HHS HHSN275200503411CPHS HHS HHSN275200503413CPHS HHS HHSN275200503414CPHS HHS HHSN275200503415CPHS HHS HHSN275200603416CPHS HHS HHSN27520080033CPHS HHS HHSN275200900010CPHS HHS HHSN275201000121U
6 · The paper itself

Abstract

backgroundHuman exposure to the widespread environmental contaminant mercury is a known risk factor for common diseases such as cancer, cardiovascular disease and neurological disorders through poorly characterized mechanisms. Evidence suggests mercury exposure may alter DNA methylation levels, but to date, the effects in early life on a genome-wide scale have not been investigated.

methodsA study sample of 141 newborns was recruited in Baltimore, MD, USA and total mercury and methylmercury were measured in cord blood samples. We quantified genome-wide DNA methylation data using CHARM 2.0, an array-based method, and used region-finding analyses to identify concentration-associated differentially methylated regions (DMRs). To test for replication of these identified DMRs in the pilot, or Vanguard, phase of the National Children's Study (NCS), we compared bisulfite-pyrosequenced DNA at candidate regions from 85 whole cord blood samples with matched first trimester maternal mercury concentration measures.

resultsTotal mercury concentration was associated with methylation at DMRs inside ANGPT2 and near PRPF18 genes [false discovery rate (FDR) < 0.05], as well as DMRs near FOXD2 and within TCEANC2 (FDR< 0.1) genes. Methylmercury concentration was associated with an overlapping DMR within TCEANC2 (FDR< 0.05). In NCS replication analyses, methylation levels at three of four cytosine-guanine DNA dinucleotides (CpG sites) within the TCEANC2 DMR were associated with total mercury concentration (P < 0.05), and this association was diminished after adjusting for estimated cell proportions.

conclusionsEvidence for an association between mercury and DNA methylation at the TCEANC2 region was found, which may represent a mercury-associated shift in cord blood cell composition or a change in methylation within blood cell types. Further confirmatory studies are needed.

Indexed as

DNA MethylationEpigenesis, GeneticAdultBaltimoreFemaleFetal BloodGenome-Wide Association StudyHumansInfant, NewbornMaleMercuryPregnancyPregnancy Trimester, FirstTranscriptional Elongation FactorsYoung AdultMercuryTranscriptional Elongation Factorscord bloodDNA methylationepigeneticsmercury exposuremethylmercury

Identifiers

PMID25906783
PMCPMC4588863
OpenAlexW2148691816

What OpenQuestion holds

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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 OpenQuestion graph.