Evidence map›Paper›PMID 41792832›Full record

ArticleClinical epigenetics2026

Epigenetic and polygenic contributions to body mass index: a validation study of predictive models.

Kamila Marszałek, Maria Wróbel, Balakrishnan Subramanian, Krystyna Jaworska, Aleksandra Pisarek-Pacek, Danuta Piniewska-Róg, Karol Makiel, Agnieszka Suder, Małgorzata Michalczyk, Bożena Wysocka and 5 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Kamila MarszałekDepartment of Genomics and Forensic Genetics, Szczecin, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Maria WróbelInstitute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Balakrishnan SubramanianInstitute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Krystyna JaworskaInstitute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Aleksandra Pisarek-PacekInstitute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Danuta Piniewska-RógFaculty of Medicine, Department of Forensic Medicine, Jagiellonian University Medical College, Krakow, Poland.
Karol MakielFaculty of Physical Rehabilitation, Department of Anatomy, University of Physical Culture in Krakow, Krakow, Poland.
Agnieszka SuderFaculty of Physical Rehabilitation, Department of Anatomy, University of Physical Culture in Krakow, Krakow, Poland.
Małgorzata MichalczykThe Jerzy Kukuczka Academy of Physical Education in Katowice, Institute of Sport Science, Katowice, Poland.
Bożena WysockaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Aneta SitekFaculty of Biology and Environmental Protection, Department of Anthropology, University of Lodz, Lodz, Poland.
Magdalena SpólnickaCenter for Forensic Science, University of Warsaw, Warsaw, Poland.
Andrzej OssowskiDepartment of Genomics and Forensic Genetics, Szczecin, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Wojciech BranickiInstitute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Ewelina PośpiechDepartment of Genomics and Forensic Genetics, Szczecin, Pomeranian Medical University in Szczecin, Szczecin, Poland. ewelina.pospiech@pum.edu.pl.

Funding

Narodowe Centrum Badań i Rozwoju DOB-BIO10/06/01/2019Narodowe Centrum Nauki 2024/53/B/NZ7/02257
6 · The paper itself

Abstract

Body mass index (BMI) has a notable genetic component, yet the majority of genetic variants remain elusive. Their identification may be hindered as weight also stems from exogenous factors and may be shaped by lifestyle influences. Since DNA methylation is partially controlled by genes and also captures environmental exposures, epigenetic biomarkers have been successfully employed in BMI prediction. In this study, we integrated SNP and DNA methylation data to independently validate existing epigenetic models and polygenic risk scores for predicting BMI. In a sample of 624 adult Polish individuals, the top ten CpG sites accounted for nearly twice the variance in phenotypic BMI compared to the top ten SNPs. The polygenic risk score formulated by Yengo et al. demonstrated a highly significant, low-to-moderate correlation with BMI (r = 0.249, p = 2.7 × 10

Indexed as

Body Mass IndexEpigenesis, GeneticMultifactorial InheritanceAdultCpG IslandsDNA MethylationEpigenomicsFemaleGenetic Risk ScoreHumansMaleMiddle AgedPolymorphism, Single NucleotideBMI predictionBody mass indexEpigenetic profilingForensic DNA phenotypingMetabolic healthPolygenic risk score

Identifiers

PMID41792832
PMCPMC13220415

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.