Nature CommunicationsGenomicsPeer-reviewed journal article
Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption
Irma KarabegovićiD, Eliana Portilla-FernándeziD, Yang LiiD, Jiantao MaiD, Silvana C. E. MaasiD, Daokun Sun, Emily A. HuiD, Brigitte KühneliD, Yan ZhangiD, Srikant AmbatipudiiD, Giovanni FioritoiD, Jian V. HuangiD, Juan Castillo FernandeziD, Kerri L. WigginsiD, Niek de KleiniD, Sara GrioniiD, Brenton R. SwensoniD, Silvia PolidoroiD, Jorien L. TreuriD, Cyrille Cuenin, Pei-Chien TsaiiD, Ricardo CosteiraiD, Véronique ChajèsiD, Kim V.E. BrauniD, Niek VerweijiD, , Mohsen GhanbariiD
Abstract
Coffee and tea are extensively consumed beverages worldwide. Observational studies have shown contradictory findings for the association between consumption of these beverages and different health outcomes. Epigenetics is suggested as a mechanism mediating the effects of dietary and lifestyle factors on disease onset. We conducted epigenome-wide association studies (EWAS) on coffee and tea consumptions in 15,789 participants of European and African-American ancestries from 15 cohorts. EWAS meta-analysis revealed 11 CpG sites significantly associated with coffee consumption (P-value <1.1x10-7), nine of them annotated to the genes AHRR, F2RL3, FLJ43663, HDAC4, GFI1 and PHGDH, and two CpGs suggestively associated with tea consumption (P-value<5.0x10-6). Among these, cg14476101 was significantly associated with expression of its annotated gene PHGDH and risk of fatty liver disease. Knockdown of PHGDH expression in liver cells showed a correlation with expression levels of lipid-associated genes, suggesting a role of PHGDH in hepatic-lipid metabolism. Collectively, this study indicates that coffee consumption is associated with differential DNA methylation levels at multiple CpGs, and that coffee-associated epigenetic variations may explain the mechanism of action of coffee consumption in conferring disease risk.
- organism: human
- assay: DNA methylation
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 56
- FWCI
- 1.13
- Field percentile
- top 24%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Habitual Coffee Consumption Increases Risks for Metabolic Diseases: Genome-wide Association Studies and a Phenotype-wide Two Sample Mendelian Randomization Analysis
Jiuling Li, Tasnim Choudhury, … Peng Chen·medRxiv·Mar 8, 2021
- Epigenome-wide analysis uncovers a blood-based DNA methylation biomarker of lifetime cannabis use.
Christina A. Markunas, Dana B. Hancock, … Jack A. Taylor·American Journal of Medical Genetics Part B Neuropsychiatric GeneticsPeer-reviewed·Aug 17, 2020
- methylSCOPA and META-methylSCOPA: software for the analysis and aggregation of epigenome-wide association studies of multiple correlated phenotypes
Harmen H. M. Draisma, Jun Liu, … Inga Prokopenko·bioRxiv·Jun 3, 2019
- Epigenome-wide association study of serum folate in maternal peripheral blood leukocytes
Nicolás Fragoso-Bargas, Christian Magnus Page, … Christine Sommer·EpigenomicsPeer-reviewed·Jan 1, 2023
- Associations of coffee genetic risk scores with coffee, tea and other beverages in the UK Biobank
Amy E. Taylor, George Davey Smith, Marcus Robert Munafo·AddictionPeer-reviewed·Aug 9, 2017
- Epigenome-wide association study meta-analysis of BMI in African American Adults
Kendra Ferrier, Mariaelisa Graff, … Leslie A. Lange·medRxiv·Jan 15, 2025