Evidence map›Paper›PMID 37239458›Full record

ArticleGenes2023

Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity.

Priyadarshni Patel, Vaithinathan Selvaraju, Jeganathan Ramesh Babu, Xu Wang, Thangiah Geetha

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Prenatal black carbon exposure and DNA methylation in umbilical cord blood.International journal of hygiene and environmental health · 2025
    Article
  6. Review
  7. 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

5 authors at 2 institutions in 1 country.

Priyadarshni PatelDepartment of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA.
Vaithinathan SelvarajuDepartment of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA.
Jeganathan Ramesh BabuDepartment of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA.
Xu WangAlabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-7594-5004
Thangiah GeethaDepartment of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-6358-0012
Auburn University · USHudsonAlpha Institute for Biotechnology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The magnitude of the childhood obesity epidemic and its effects on public health has accelerated the pursuit of practical preventative measures. Epigenetics is one subject that holds a lot of promise, despite being relatively new. The study of potentially heritable variations in gene expression that do not require modifications to the underlying DNA sequence is known as epigenetics. Here, we used Illumina MethylationEPIC BeadChip Array to identify differentially methylated regions in DNA isolated from saliva between normal weight (NW) and overweight/obese (OW/OB) children and between European American (EA) and African American (AA) children. A total of 3133 target IDs (associated with 2313 genes) were differentially methylated (

Indexed as

Health Status DisparitiesPediatric ObesityBlack or African AmericanChildDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyHumansWhiteAfrican Americanchildhood obesityDNA methylationepigeneticsEuropean Americanhealth disparitiesnovel genes

Identifiers

PMID37239458
PMCPMC10218285
OpenAlexW4377103188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.