Evidence map›Paper›PMID 27000849›Full record

ArticleMaternal and child health journal2016

Racial Differences in DNA-Methylation of CpG Sites Within Preterm-Promoting Genes and Gene Variants.

H M Salihu, R Das, L Morton, H Huang, A Paothong, R E Wilson, M H Aliyu, J L Salemi, P J Marty

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Review
  6. A biosocial return to race? A cautionary view for the postgenomic era.American journal of human biology : the official journal of the Human Biology Council · 2022
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Epigenetics and Health Disparities.Current epidemiology reports · 2017
    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

9 authors at 3 institutions in 1 country.

H M SalihuDepartment of Family and Community Medicine, Baylor College of Medicine, 3701 Kirby Drive, Suite 600, Houston, TX, 77030, USA. Hamisu.salihu@gmail.com.
R DasDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
L MortonDepartment of Global Health, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
H HuangSchool of Information, College of Arts and Sciences, University of South Florida, Tampa, FL, 33612, USA.
A PaothongDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
R E WilsonDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
M H AliyuDepartment of Preventive Medicine, Vanderbilt Institute for Global Health, Vanderbilt University, Nashville, TN, 37235, USA.
J L SalemiDepartment of Family and Community Medicine, Baylor College of Medicine, 3701 Kirby Drive, Suite 600, Houston, TX, 77030, USA.
P J MartyDepartment of Cell Biology and Pathology, College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
University of South Florida · USBaylor College of Medicine · USVanderbilt Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To evaluate the role DNA methylation may play in genes associated with preterm birth for higher rates of preterm births in African-American women. Methods Fetal cord blood samples from births collected at delivery and maternal demographic and medical information were used in a cross-sectional study to examine fetal DNA methylation of genes implicated in preterm birth among black and non-black infants. Allele-specific DNA methylation analysis was performed using a methylation bead array. Targeted maximum likelihood estimation was applied to examine the relationship between race and fetal DNA methylation of candidate preterm birth genes. Receiver-operating characteristic analyses were then conducted to validate the CpG site methylation marker within the two racial groups. Bootstrapping, a method of validation and replication, was employed. Results 42 CpG sites were screened within 20 candidate gene variants reported consistently in the literature as being associated with preterm birth. Of these, three CpG sites on TNFAIP8 and PON1 genes (corresponding to: cg23917399; cg07086380; and cg07404485, respectively) were significantly differentially methylated between black and non-black individuals. The three CpG sites showed lower methylation status among infants of black women. Bootstrapping validated and replicated results. Conclusion for Practice Our study identified significant differences in levels of methylation on specific genes between black and non-black individuals. Understanding the genetic/epigenetic mechanisms that lead to preterm birth may lead to enhanced prevention strategies to reduce morbidity and mortality by eventually providing a means to identify individuals with a genetic predisposition to preterm labor.

Indexed as

Apoptosis Regulatory ProteinsAryldialkylphosphataseBlack or African AmericanCpG IslandsCross-Sectional StudiesDNADNA MethylationEpigenesis, GeneticFemaleFetal BloodHumansLikelihood FunctionsObstetric Labor, PrematurePregnancyPremature BirthROC CurveApoptosis Regulatory ProteinsAryldialkylphosphataseDNAPON1 protein, humanTNFAIP8 protein, humanDNA methylationPON1Preterm birthRaceTNFAIP8

Identifiers

PMID27000849
OpenAlexW2303019678

What OpenQuestion holds

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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.