Evidence map›Paper›PMID 30940212›Full record

ArticleClinical epigenetics2019

Association of leukocyte DNA methylation changes with dietary folate and alcohol intake in the EPIC study.

F Perrier, V Viallon, S Ambatipudi, A Ghantous, C Cuenin, H Hernandez-Vargas, V Chajès, L Baglietto, M Matejcic, H Moreno-Macias and 24 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  19. Nutritional Epigenomics and Age-Related Disease.Current developments in nutrition · 2020
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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

34 authors at 20 institutions in 12 countries.

F PerrierNutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France.
V ViallonNutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France.
S AmbatipudiEpigenetics Group, IARC, Lyon, France.
A GhantousEpigenetics Group, IARC, Lyon, France.
C CueninEpigenetics Group, IARC, Lyon, France.
H Hernandez-VargasEpigenetics Group, IARC, Lyon, France.
V ChajèsNutritional Epidemiology Group, IARC, Lyon, France.
L BagliettoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
M MatejcicNutritional Epidemiology Group, IARC, Lyon, France.
H Moreno-MaciasUniversidad Autonoma Metropolitana, Mexico City, Mexico.
T KühnDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
H BoeingDepartment of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany.
A KarakatsaniHellenic Health Foundation, Athens, Greece.
A KotanidouHellenic Health Foundation, Athens, Greece.
A TrichopoulouHellenic Health Foundation, Athens, Greece.
S SieriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
S PanicoDipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.
F FasanelliCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, Turin, Italy.
M DolleNational Institute of Public Health and the Environment (RIVM), Centre for Health Protection (pb12), Bilthoven, The Netherlands.
C Onland-MoretDepartment of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, Utrecht, The Netherlands.
I SluijsDepartment of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, Utrecht, The Netherlands.
E WeiderpassDepartment of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.
J R QuirósPublic Health Directorate, Asturias, Spain.
A AgudoUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
J M HuertaDepartment of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
E ArdanazDepartment of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
M DorronsoroPublic Health Direction and Biodonostia Research Institute and CIBERESP, Basque Regional Health Department, San Sebastian, Spain.
T Y N TongCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
E RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
M J GunterNutritional Epidemiology Group, IARC, Lyon, France.
Z HercegEpigenetics Group, IARC, Lyon, France.
P FerrariNutritional Methodology and Biostatistics Group, International Agency for Research on Cancer (IARC), World Health Organization, 150, cours Albert Thomas, 69372, Lyon CEDEX 08, France. ferrarip@iarc.fr.
I RomieuNutritional Epidemiology Group, IARC, Lyon, France.
Centre International de Recherche sur le Cancer · FRHellenic Health Foundation · GRImperial College London · GBBiogipuzkoa Health Research Institute · ESEvangelismos Hospital · GRFederico II University Hospital · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITGerman Institute of Human Nutrition · DEGobierno del Principado de Asturias · ESHeidelberg University · DEInstitut Català d'Oncologia · ESInstituto Murciano de Investigación Biosanitaria · ESNational Institute for Public Health and the Environment · NLNavarre Institute of Health Research · ESUiT The Arctic University of Norway · NOUniversidad Autónoma Metropolitana · MXUniversity of Bristol · GBUniversity of Oxford · GBUniversity of Pisa · ITUniversity of Southern California · US

Funding

Cancer Research UK 14136Cancer Research UK C18281/A19169Cancer Research UK C570/A16491Cancer Research UK C8221/A19170Medical Research Council 1000143Medical Research Council G0401527Medical Research Council G0500300Medical Research Council G1000143Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/2Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1World Health Organization 001
6 · The paper itself

Abstract

backgroundThere is increasing evidence that folate, an important component of one-carbon metabolism, modulates the epigenome. Alcohol, which can disrupt folate absorption, is also known to affect the epigenome. We investigated the association of dietary folate and alcohol intake on leukocyte DNA methylation levels in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Leukocyte genome-wide DNA methylation profiles on approximately 450,000 CpG sites were acquired with Illumina HumanMethylation 450K BeadChip measured among 450 women control participants of a case-control study on breast cancer nested within the EPIC cohort. After data preprocessing using surrogate variable analysis to reduce systematic variation, associations of DNA methylation with dietary folate and alcohol intake, assessed with dietary questionnaires, were investigated using CpG site-specific linear models. Specific regions of the methylome were explored using differentially methylated region (DMR) analysis and fused lasso (FL) regressions. The DMR analysis combined results from the feature-specific analysis for a specific chromosome and using distances between features as weights whereas FL regression combined two penalties to encourage sparsity of single features and the difference between two consecutive features.

resultsAfter correction for multiple testing, intake of dietary folate was not associated with methylation level at any DNA methylation site, while weak associations were observed between alcohol intake and methylation level at CpG sites cg03199996 and cg07382687, with q

conclusionsAlcohol intake was associated with methylation levels at two CpG sites. Evidence from DMR and FL analyses indicated that dietary folate and alcohol intake may be associated with genomic regions with tumor suppressor activity such as the GSDMD and HOXA5 genes. These results were in line with the hypothesis that epigenetic mechanisms play a role in the association between folate and alcohol, although further studies are warranted to clarify the importance of these mechanisms in cancer.

Indexed as

DNA MethylationAdultAgedAlcohol DrinkingBreast NeoplasmsCase-Control StudiesCpG IslandsEpigenesis, GeneticFemaleFolic AcidGenome-Wide Association StudyHumansLeukocytesMiddle AgedNutrition SurveysProspective StudiesFolic AcidAlcohol intakeDietary folateDMRDNA methylationEPIC cohortFused lasso

Identifiers

PMID30940212
PMCPMC6444439
OpenAlexW2943159295

What OpenQuestion holds

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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.