Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption.

Irma Karabegović ; Eliana Portilla-Fernandez ; Yang Li ; Jiantao Ma ; Silvana CE Maas ; Daokun Sun ; Emily A Hu ; Brigitte Kühnel ; Yan Zhang ORCID logo ; Srikant Ambatipudi ORCID logo ; +40 more... Giovanni Fiorito ; Jian Huang ; Juan E Castillo-Fernandez ORCID logo ; Kerri L Wiggins ORCID logo ; Niek de Klein ORCID logo ; Sara Grioni ; Brenton R Swenson ; Silvia Polidoro ORCID logo ; Jorien L Treur ; Cyrille Cuenin ; Pei-Chien Tsai ; Ricardo Costeira ; Veronique Chajes ; Kim Braun ORCID logo ; Niek Verweij ORCID logo ; Anja Kretschmer ; Lude Franke ; Joyce BJ van Meurs ; André G Uitterlinden ORCID logo ; Robert J de Knegt ; M Arfan Ikram ORCID logo ; Abbas Dehghan ; Annette Peters ORCID logo ; Ben Schöttker ; Sina A Gharib ; Nona Sotoodehnia ; Jordana T Bell ORCID logo ; Paul Elliott ORCID logo ; Paolo Vineis ; Caroline Relton ORCID logo ; Zdenko Herceg ; Hermann Brenner ; Melanie Waldenberger ORCID logo ; Casey M Rebholz ORCID logo ; Trudy Voortman ORCID logo ; Qiuwei Pan ORCID logo ; Myriam Fornage ORCID logo ; Daniel Levy ; Manfred Kayser ORCID logo ; Mohsen Ghanbari ORCID logo ; (2021) Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption. Nature communications, 12 (1). 2830-. ISSN 2041-1723 DOI: 10.1038/s41467-021-22752-6
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Coffee and tea are extensively consumed beverages worldwide which have received considerable attention regarding health. Intake of these beverages is consistently linked to, among others, reduced risk of diabetes and liver diseases; however, the mechanisms of action remain elusive. Epigenetics is suggested as a mechanism mediating the effects of dietary and lifestyle factors on disease onset. Here we report the results from epigenome-wide association studies (EWAS) on coffee and tea consumption in 15,789 participants of European and African-American ancestries from 15 cohorts. EWAS meta-analysis of coffee consumption reveals 11 CpGs surpassing the epigenome-wide significance threshold (P-value <1.1×10-7), which annotated to the AHRR, F2RL3, FLJ43663, HDAC4, GFI1 and PHGDH genes. Among them, cg14476101 is significantly associated with expression of the PHGDH and risk of fatty liver disease. Knockdown of PHGDH expression in liver cells shows a correlation with expression levels of genes associated with circulating lipids, suggesting a role of PHGDH in hepatic-lipid metabolism. EWAS meta-analysis on tea consumption reveals no significant association, only two CpGs annotated to CACNA1A and PRDM16 genes show suggestive association (P-value <5.0×10-6). These findings indicate that coffee-associated changes in DNA methylation levels may explain the mechanism of action of coffee consumption in conferring risk of diseases.


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