Evidence map›Paper›PMID 38249614›Full record

ArticleFrontiers in nutrition2023

Usual dietary intake and change in DNA methylation over years: EWAS in KORA FF4 and KORA fit.

Fabian Hellbach, Dennis Freuer, Christa Meisinger, Annette Peters, Juliane Winkelmann, Ricardo Costeira, Hans Hauner, Sebastian-Edgar Baumeister, Jordana T Bell, Melanie Waldenberger and 1 more

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Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Fabian HellbachDepartment of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.
Dennis FreuerDepartment of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.
Christa MeisingerDepartment of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.
Annette PetersMedical Faculty, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilian University Munich, Munich, Germany.
Juliane WinkelmannInstitute of Neurogenomic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Ricardo CosteiraDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Hans HaunerElse Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Sebastian-Edgar BaumeisterMedical Faculty, Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany.
Jordana T BellDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Melanie WaldenbergerInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Jakob LinseisenDepartment of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.

Funding

Biotechnology and Biological Sciences Research Council BB/S020845/1
6 · The paper itself

Abstract

Introduction: Changes in DNA methylation can increase or suppress the expression of health-relevant genes. We investigated for the first time the relationship between habitual food consumption and changes in DNA methylation. Methods: The German KORA FF4 and KORA Fit studies were used to study the change in methylation over a median follow-up of 4 years. Only subjects participating in both surveys and with available dietary and methylation data were included in the analysis (n = 465). DNA methylation was measured using the Infinium MethylationEPIC BeadChip (Illumina), resulting in 735,527 shared CpGs across both studies. Generalized estimating equation models with an interaction term of exposure and time point were used to analyze the association of 34 food groups, folic acid, and two dietary patterns with changes in DNA methylation over time. Results: The results were corrected for genomic inflation. Significant interaction terms indicate different effects between both time points. We observed only a few significant associations between food intake and change in DNA methylation, except for cream and spirit consumption. The annotated genes include CLN3, PROM1, DLEU7, TLL2, and UGT1A10. Discussion: We identified weak associations between food consumption and DNA methylation change. The differential results for cream and spirits, both consumed in low quantities, require replication in independent studies.

Indexed as

dietDNA methylationepidemiologyfood groupusual dietary intake

Identifiers

PMID38249614
PMCPMC10799384

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