Evidence mapPaperPMID 39844050Full record

ArticleBMC genomics2025

Epigenome-wide association study of objectively measured physical activity in peripheral blood leukocytes.

Nicolas Fragoso-Bargas, Nancy S Mcbride, Sindre Lee-Ødegård, Deborah A Lawlor, Paul D Yousefi, Gunn-Helen Moen, Julia O Opsahl, Anne Karen Jenum, Paul W Franks, Rashmi B Prasad and 4 more

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nicolas Fragoso-BargasMohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway. nicolas.bargas@uib.no.
Nancy S McbrideMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Sindre Lee-ØdegårdDepartment of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
Deborah A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Paul D YousefiMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Gunn-Helen MoenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Julia O OpsahlInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Anne Karen JenumGeneral Practice Research Unit (AFE), Department of General Practice, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Paul W FranksLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Rashmi B PrasadLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Elisabeth QvigstadDepartment of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
Kåre I BirkelandDepartment of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
Kåre R RichardsenFaculty of Health Sciences, Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.
Christine SommerDepartment of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.

Funding

Cancer Research UK 29019
6 · The paper itself

Abstract

backgroundFew studies have explored the association between DNA methylation and physical activity. The aim of this study was to evaluate the association of objectively measured hours of sedentary behavior (SB) and moderate physical activity (MPA) with DNA methylation. We further aimed to explore the association between SB or MPA related CpG sites and cardiometabolic traits, gene expression, and genetic variation.

resultsFor discovery, we performed cross sectional analyses in pregnant women from the Epigenetics in pregnancy (EPIPREG) sample with both DNA methylation (Illumina MethylationEPIC BeadChip) and objectively measured physical activity data (SenseWear™ Pro 3 armband) (European = 244, South Asian = 109). For EWAS of SB and MPA, two main models were designed: model (1) a linear mixed model adjusted for age, smoking, blood cell composition, including ancestry as random intercept, and model (2) which was additionally adjusted for the total number of steps per day. In model 1, we did not identify any CpG sites associated with neither SB nor MPA. In model 2, SB was positively associated (false discovery rate, FDR < 0.05) with two CpG sites within the VSX1 gene. Both CpG sites were positively associated with BMI and were associated with several genetic variants in cis. MPA was associated with 122 significant CpG sites at FDR < 0.05 (model 2). We further analyzed the ten most statistically significant MPA related CpG sites and found that they presented opposite associations with sedentary behavior and BMI. We were not able to replicate the SB and MPA-related CpG sites in the Avon Longitudinal Study of Parents and Children (ALSPAC). ALSPAC had available objectively measured physical activity data from Actigraph (without steps/day available) and leucocyte DNA methylation data collected during adolescence (n = 408, European).

conclusionThis study suggests associations of objectively measured SB and MPA with maternal DNA methylation in peripheral blood leukocytes, that needs to be confirmed in larger samples of similar study design.

Indexed as

Epigenesis, GeneticEpigenomeEpigenomicsExerciseGenome-Wide Association StudyLeukocytesAdultCpG IslandsCross-Sectional StudiesDNA MethylationFemaleHumansPregnancySedentary BehaviorALSPACDNA methylationEpigenetic epidemiologyEPIPREGEWASModerate activityPhysical activityPregnancySedentary behavior

Identifiers

PMID39844050
PMCPMC11755845

What Socratic holds

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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 Socratic graph.