Evidence map›Paper›PMID 33413638›Full record

ArticleClinical epigenetics2021

DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures.

Monica Del C Gomez-Alonso, Anja Kretschmer, Rory Wilson, Liliane Pfeiffer, Ville Karhunen, Ilkka Seppälä, Weihua Zhang, Kirstin Mittelstraß, Simone Wahl, Pamela R Matias-Garcia and 21 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
6.6field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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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

31 authors at 11 institutions in 4 countries.

Monica Del C Gomez-AlonsoResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Anja KretschmerResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Rory WilsonResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Liliane PfeifferResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Ville KarhunenDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Ilkka SeppäläDepartment of Clinical Chemistry, Pirkanmaa Hospital District, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Weihua ZhangDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Kirstin MittelstraßResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Simone WahlResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Pamela R Matias-GarciaResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Holger ProkischInstitute of Human Genetics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany.
Sacha HornResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Thomas MeitingerInstitute of Human Genetics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany.
Luis R Serrano-GarciaResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Sylvain SebertCenter for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland.
Olli RaitakariCentre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland.
Marie LohDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Martina Müller-NurasyidChair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany.
Christian HerderGerman Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.
Michael RodenGerman Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.
Mikko HurmeDepartment of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Marjo-Riitta JarvelinDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Mika Ala-KorpelaCenter for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland.
Jaspal S KoonerDepartment of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, Middlesex, UK.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany.
Terho LehtimäkiDepartment of Clinical Chemistry, Pirkanmaa Hospital District, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
John C ChambersDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Christian GiegerResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
Johannes KettunenCenter for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland.
Melanie WaldenbergerResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany. waldenberger@helmholtz-muenchen.de.ORCID 0000-0003-0583-5093
Helmholtz Zentrum München · DEOulu University Hospital · FIDeutsches Diabetes-Zentrum e.V. · DEImperial College Healthcare NHS Trust · GBPirkanmaa Hospital District · FIEaling Hospital · GBJohannes Gutenberg University Mainz · DENanyang Technological University · SGTampere University · FIUniversity of Eastern Finland · FIUniversity of Turku · FI

Funding

British Heart Foundation SP/04/002Department of Health RP-PG-0407-10371Medical Research Council G0601966Medical Research Council G0700931Medical Research Council MR/S019669/1Wellcome Trust 098381Wellcome Trust 212945/Z/18/Z
6 · The paper itself

Abstract

backgroundThe discovery of robust and trans-ethnically replicated DNA methylation markers of metabolic phenotypes, has hinted at a potential role of epigenetic mechanisms in lipid metabolism. However, DNA methylation and the lipid compositions and lipid concentrations of lipoprotein sizes have been scarcely studied. Here, we present an epigenome-wide association study (EWAS) (N = 5414 total) of mostly lipid-related metabolic measures, including a fine profiling of lipoproteins. As lipoproteins are the main players in the different stages of lipid metabolism, examination of epigenetic markers of detailed lipoprotein features might improve the diagnosis, prognosis, and treatment of metabolic disturbances.

resultsWe conducted an EWAS of leukocyte DNA methylation and 226 metabolic measurements determined by nuclear magnetic resonance spectroscopy in the population-based KORA F4 study (N = 1662) and replicated the results in the LOLIPOP, NFBC1966, and YFS cohorts (N = 3752). Follow-up analyses in the discovery cohort included investigations into gene transcripts, metabolic-measure ratios for pathway analysis, and disease endpoints. We identified 161 associations (p value < 4.7 × 10

conclusionOur study provides evidence of a link between DNA methylation and the lipid compositions and lipid concentrations of different lipoprotein size subclasses, thus offering in-depth insights into well-known associations of DNA methylation with total serum lipids. The results support detailed profiling of lipid metabolism to improve the molecular understanding of dyslipidemia and related disease mechanisms.

Indexed as

Epigenesis, GeneticGenome-Wide Association StudyAdultAgedAged, 80 and overCohort StudiesDNA MethylationFemaleGermanyHumansLipid MetabolismMaleMetabolomeMiddle AgedMyocardial InfarctionObesityCpG siteFatty acidsHDLLDLLipoprotein compositionLipoprotein sizesMyocardial infarctionNMRObesityVLDL

Identifiers

PMID33413638
PMCPMC7789600
OpenAlexW3120965531

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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 OpenQuestion graph.