Evidence map›Paper›PMID 38365790›Full record

SynthesisClinical epigenetics2024

Epigenome-wide association study of dietary fatty acid intake.

Julia Lange de Luna, Aayah Nounu, Sonja Neumeyer, Lucy Sinke, Rory Wilson, Fabian Hellbach, Pamela R Matías-García, Thomas Delerue, Juliane Winkelmann, Annette Peters and 7 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

17 authors at 4 institutions in 2 countries.

Julia Lange de LunaResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Aayah NounuResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Sonja NeumeyerResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Lucy SinkeMolecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands.
Rory WilsonResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Fabian HellbachEpidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156, Augsburg, Germany.
Pamela R Matías-GarcíaResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Thomas DelerueResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Juliane WinkelmannInstitute of Neurogenomics, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Marian BeekmanMolecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands.
Bastiaan T HeijmansMolecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands.
Eline SlagboomMolecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands.
Christian GiegerResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Jakob LinseisenEpidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156, Augsburg, Germany.
Melanie WaldenbergerResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. melanie.waldenberger@helmholtz-munich.de.
Helmholtz Zentrum München · DELeiden University Medical Center · NLLudwig-Maximilians-Universität München · DEZimmer Biomet (Netherlands) · NL

Funding

German Federal Ministry of Education and Research (BMBF) within the framework of the EU Joint Programming Initiative 'A Healthy Diet for a Healthy Life' 01EA1902A
6 · The paper itself

Abstract

backgroundDietary intake of n-3 polyunsaturated fatty acids (PUFA) may have a protective effect on the development of cardiovascular diseases, diabetes, depression and cancer, while a high intake of n-6 PUFA was often reported to be associated with inflammation-related traits. The effect of PUFAs on health outcomes might be mediated by DNA methylation (DNAm). The aim of our study is to identify the impact of PUFA intake on DNAm in the Cooperative Health Research in the Region of Augsburg (KORA) FF4 cohort and the Leiden Longevity Study (LLS).

resultsDNA methylation levels were measured in whole blood from the population-based KORA FF4 study (N = 1354) and LLS (N = 448), using the Illumina MethylationEPIC BeadChip and Illumina HumanMethylation450 array, respectively. We assessed associations between DNAm and intake of eight and four PUFAs in KORA and LLS, respectively. Where possible, results were meta-analyzed. Below the Bonferroni correction threshold (p < 7.17 × 10

conclusionsOur study identified three CpG sites associated with PUFA intake. The mechanisms of these sites remain largely unexplored, highlighting the novelty of our findings. Further research is essential to understand the links between CpG site methylation and PUFA outcomes.

Indexed as

EpigenomeFatty Acids, Omega-3DNA MethylationDocosahexaenoic AcidsFatty AcidsHumansRepressor ProteinsCDCA7L protein, humanDocosahexaenoic AcidsFatty AcidsFatty Acids, Omega-3Repressor ProteinsDNA methylationDocosapentaenoic acidEicosadienoic acidEicosapentaenoic acidEWASFatty acidsPUFA n-3PUFA n-6Stearidonic acid

Identifiers

PMID38365790
PMCPMC10874013
OpenAlexW4391885511

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.