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Blood DNA methylation signature of diet quality and association with cardiometabolic traits
dc.contributor | Universitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna | |
dc.contributor.author | Domínguez-Barragán, Jorge | |
dc.contributor.author | Fernández Sanlés, Alba | |
dc.contributor.author | Hernáez, Álvaro | |
dc.contributor.author | Llauradó-Pont, Joana | |
dc.contributor.author | Marrugat, Jaume | |
dc.contributor.author | Robinson, Oliver | |
dc.contributor.author | Tzoulaki, Ioanna | |
dc.contributor.author | Elosua Llanos, Roberto | |
dc.contributor.author | Lassale, Camille | |
dc.date.accessioned | 2024-01-26T20:47:44Z | |
dc.date.available | 2024-01-26T20:47:44Z | |
dc.date.created | 2023-05 | |
dc.date.issued | 2023-10 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14342/3793 | |
dc.description.abstract | Aims Diet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine–phosphate–guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). Methods and results Meta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10−7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk. Conclusion Diet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health. | ca |
dc.format.extent | 12 p. | ca |
dc.language.iso | eng | ca |
dc.publisher | Oxford University Press | ca |
dc.relation.ispartof | European Journal of Preventive Cardiology, 2024, 31, 191-202 | ca |
dc.rights | © L'autor/a | ca |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Metilació | ca |
dc.subject.other | ADN | ca |
dc.subject.other | Dieta | ca |
dc.subject.other | Qualitat de la dieta | ca |
dc.subject.other | Sistema cardiovascular -- Malalties | ca |
dc.subject.other | Epidemiologia | ca |
dc.subject.other | Nutrició | ca |
dc.title | Blood DNA methylation signature of diet quality and association with cardiometabolic traits | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | ca |
dc.subject.udc | 613 | ca |
dc.subject.udc | 616.1 | ca |
dc.identifier.doi | https://doi.org/10.1093/eurjpc/zwad317 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/La Caixa/ID 100010434 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/H2020/MSC/Grant agreement 847 648 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/ISCIII i FEDER/FIS PI12/00232 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/ISCIII i FEDER/FIS PI15/00051 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/SUR del DEC/SGR/PERIS SLT002/16/00088 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/SUR del DEC/SGR/2017SGR222 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/British Heart Foundation/AA/18/1/34219 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/MRC/MC_UU_00011/6 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/UKRI/MR/S03532X/1 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI i BU/N01-HC-25195 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI i BU/HHSN268201500001I | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/N01WH22110 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/24152 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32100-2 | ca |
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dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32111-13 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32115 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32115 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32118-32119 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/32122 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/42107-26 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/42129-32 | ca |
dc.relation.projectID | info:eu-repo/grantAgreement/NHLBI/44221 | ca |
dc.description.version | info:eu-repo/semantics/publishedVersion | ca |