Evidence map›Paper›PMID 28125511›Full record

ArticleNursing research

DNA Methylation Patterns in Cord Blood of Neonates Across Gestational Age: Association With Cell-Type Proportions.

Susan M Braid, Kwame Okrah, Amol Shetty, Hector Corrada Bravo

Open access · hybridAbstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Susan M BraidSusan M. Braid, DrPH, MSN, NNP-BC, is Assistant Professor, College of Health Sciences, Old Dominion University, Norfolk, Virginia. Kwame Okrah, PhD, is Biostatistician, Genentech, Inc., South San Francisco, California. Amol Shetty, MS, is Senior Bioinformatics Software Engineer, School of Medicine, Institute for Genome Sciences, University of Maryland, Baltimore. Hector Corrada Bravo, PhD, is Associate Professor, Institute for Advanced Computer Studies, Center for Bioinformatics and Computational Biology, and Department of Computer Science, University of Maryland, College Park.
Kwame Okrah
Amol Shetty
Hector Corrada Bravo
Apple (Israel) · ILHuman Genome Sciences (United States) · USUniversity of Maryland, Baltimore · US

Funding

Maryland's Organized Research Effort in Women's Health (MORE-WH)K12HD043489 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI TRACY, J. KATHLEEN · 2002 to 2016
$7.0M
Integrative Visual and Computational Exploratory Analysis of Genomics DataR01GM114267 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI CORRADA BRAVO, HECTOR · 2015 to 2018
$1.8M
NICHD NIH HHS K12 HD043489NIGMS NIH HHS R01 GM114267
6 · The paper itself

Abstract

backgroundA statistical methodology is available to estimate the proportion of cell types (cellular heterogeneity) in adult whole blood specimens used in epigenome-wide association studies (EWAS). However, there is no methodology to estimate the proportion of cell types in umbilical cord blood (also a heterogeneous tissue) used in EWAS.

objectivesThe objectives of this study were to determine whether differences in DNA methylation (DNAm) patterns in umbilical cord blood are the result of blood cell type proportion changes that typically occur across gestational age and to demonstrate the effect of cell type proportion confounding by comparing preterm infants exposed and not exposed to antenatal steroids.

methodsWe obtained DNAm profiles of cord blood using the Illumina HumanMethylation27k BeadChip array for 385 neonates from the Boston Birth Cohort. We estimated cell type proportions for six cell types using the deconvolution method developed by .

resultsThe cell type proportion estimates segregated into two groups that were significantly different by gestational age, indicating that gestational age was associated with cell type proportion. Among infants exposed to antenatal steroids, the number of differentially methylated CpGs dropped from 127 to 1 after controlling for cell type proportion. DISCUSSION: EWAS utilizing cord blood are confounded by cell type proportion. Careful study design including correction for cell type proportion and interpretation of results of EWAS using cord blood are critical.

Indexed as

DNA MethylationGestational AgeCell DifferentiationCell Physiological PhenomenaFemaleFetal BloodHumansInfant, Newborn

Identifiers

PMID28125511
PMCPMC5345885
OpenAlexW2580837556

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.