Evidence map›Paper›PMID 36571600›Full record

SynthesisEuropean journal of nutrition2023

Pooled analysis of epigenome-wide association studies of food consumption in KORA, TwinsUK and LLS.

Fabian Hellbach, Lucy Sinke, Ricardo Costeira, Sebastian-Edgar Baumeister, Marian Beekman, Panayiotis Louca, Emily R Leeming, Olatz Mompeo, Sarah Berry, Rory Wilson and 12 more

Open access · hybridFull text readMeta-Analysis
In one paragraph

Synthesis in European journal of nutrition, 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
1.7field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  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

22 authors at 8 institutions in 3 countries.

Fabian HellbachInstitute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany. fabian.hellbach@med.uni-augsburg.de.ORCID http://orcid.org/0000-0001-8918-0017
Lucy SinkeMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
Ricardo CosteiraDepartment of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK.
Sebastian-Edgar BaumeisterInstitute of Health Services Research in Dentistry, Medical Faculty, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Marian BeekmanMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
Panayiotis LoucaDepartment of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK.
Emily R LeemingDepartment of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK.
Olatz MompeoDepartment of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK.
Sarah BerryDepartment of Nutritional Sciences, King's College London, London, UK.
Rory WilsonInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Nina WawroInstitute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Dennis FreuerEpidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
Hans HaunerElse Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Juliane WinkelmannInstitute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (HmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Wolfgang KoenigDZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336, Munich, Germany.
Christa MeisingerEpidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
Melanie WaldenbergerInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Bastiaan T HeijmansMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
P Eline SlagboomMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
Jordana T BellDepartment of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK.
Jakob LinseisenInstitute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany.
King's College London · GBHelmholtz Zentrum München · DELeiden University Medical Center · NLUniversity of Augsburg · DEFresenius (Germany) · DEUniversität Ulm · DEUniversity of Münster · DEZimmer Biomet (Netherlands) · NL

Funding

Biotechnology and Biological Sciences Research Council BB/S020845/1Joint Programming Initiative A healthy diet for a healthy life 01EA1902BJoint Programming Initiative A healthy diet for a healthy life 529051021Joint Programming Initiative A healthy diet for a healthy life BBSRC BB/S020845/1Joint Programming Initiative A healthy diet for a healthy life BB/T019980/1
6 · The paper itself

Abstract

purposeExamining epigenetic patterns is a crucial step in identifying molecular changes of disease pathophysiology, with DNA methylation as the most accessible epigenetic measure. Diet is suggested to affect metabolism and health via epigenetic modifications. Thus, our aim was to explore the association between food consumption and DNA methylation.

methodsEpigenome-wide association studies were conducted in three cohorts: KORA FF4, TwinsUK, and Leiden Longevity Study, and 37 dietary exposures were evaluated. Food group definition was harmonized across the three cohorts. DNA methylation was measured using Infinium MethylationEPIC BeadChip in KORA and Infinium HumanMethylation450 BeadChip in the Leiden study and the TwinsUK study. Overall, data from 2293 middle-aged men and women were included. A fixed-effects meta-analysis pooled study-specific estimates. The significance threshold was set at 0.05 for false-discovery rate-adjusted p values per food group.

resultsWe identified significant associations between the methylation level of CpG sites and the consumption of onions and garlic (2), nuts and seeds (18), milk (1), cream (11), plant oils (4), butter (13), and alcoholic beverages (27). The signals targeted genes of metabolic health relevance, for example, GLI1, RPTOR, and DIO1, among others.

conclusionThis EWAS is unique with its focus on food groups that are part of a Western diet. Significant findings were mostly related to food groups with a high-fat content.

Indexed as

EpigenomeGenome-Wide Association StudyCpG IslandsDNA MethylationEpigenesis, GeneticFemaleHumansMaleMiddle AgedDietEWASFood groupHigh-fat foodsHumans

Identifiers

PMID36571600
PMCPMC10030421
OpenAlexW4312194908

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read21
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.