Evidence map›Paper›PMID 41351263›Full record

SynthesisHGG advances2026

Epigenome-wide association study meta-analysis of BMI in African Americans.

Kendra Ferrier, Mariaelisa Graff, Iain R Konigsberg, Maggie Stanislawski, Heather M Highland, Laura M Raffield, April P Carson, Eric Boerwinkle, Jill M Norris, Chris R Gignoux and 15 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in HGG advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Kendra FerrierDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Iain R KonigsbergDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Maggie StanislawskiDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Heather M HighlandDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA.
April P CarsonDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Eric BoerwinkleHuman Genetics Center, School of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Chris R GignouxDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Audrey E HendricksDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Sridharan RaghavanDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Kari E NorthDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Kristin L YoungDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Anne E JusticePopulation Health Sciences, Geisinger, Danville, PA, USA.
Matthew A AllisonDepartment of Family Medicine, University of California, San Diego, La Jolla, CA, USA.
Mathew J BudoffDivision of Cardiology, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Silva KaselaNew York Genome Center, New York, NY, USA.
François AguetBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Joshua J JosephDepartment of Medicine, Ohio State University Wexner Medical Center, Columbus, OH, USA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Stephen S RichCenter for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Ethan M LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Leslie A LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA. Electronic address: leslie.lange@cuanschutz.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite considerable advances in identifying risk factors for obesity, gaps remain in our understanding about its etiology. Genetic variants explain only a small portion of variation in obesity-related traits such as body mass index (BMI). Epigenetic regulation, which controls gene expression and is influenced by environmental and genetic factors, may account for additional variability in BMI. Epigenetic studies of BMI have largely been conducted in European ancestry populations, despite the disproportionate burden of obesity in African Americans (AAs). We conducted a sex-stratified BMI epigenome-wide association study meta-analysis in AA participants from the Jackson Heart Study (n = 1,604) and the Multi-Ethnic Study of Atherosclerosis (n = 179) with Illumina EPIC (850,000) array data. Linear regression models with methylation as the outcome and continuous BMI as the predictor were stratified by study and sex and meta-analyzed. We identified 208 methylation sites (CpGs, p < 8.72 × 10

Indexed as

Black or African AmericanBody Mass IndexObesityAgedCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomeFemaleGenome-Wide Association StudyHumansMaleMiddle AgedAfrican AmericanBMIepigeneticsgeneticsimmune systeminflammationmethylationobesity

Identifiers

PMID41351263
PMCPMC12903085

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.