Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption.
Irma KarabegovićEliana Portilla-FernandezYang LiJiantao MaSilvana C E MaasDaokun SunEmily A HuBrigitte KühnelYan ZhangSrikant AmbatipudiGiovanni FioritoJian HuangJuan E Castillo-FernandezKerri L WigginsNiek de KleinSara GrioniBrenton R SwensonSilvia PolidoroJorien L TreurCyrille CueninPei-Chien TsaiRicardo CosteiraVeronique ChajesKim Valeska Emilie BraunNiek VerweijAnja KretschmerLude FrankeJoyce B J van MeursAndre G UitterlindenRobert J de KnegtMohammad Arfan IkramAbbas DehghanAnnette PetersBen SchöttkerSina A GharibNona SotoodehniaJordana T BellPaul ElliottPaolo VineisCaroline ReltonZdenko HercegHermann BrennerMelanie WaldenbergerCasey M RebholzTrudy G VoortmanMaikel P PeppelenboschMyriam FornageDaniel LevyManfred KayserMohsen GhanbariPublished in: Nature communications (2021)
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.
Keyphrases
- dna methylation
- genome wide
- systematic review
- poor prognosis
- african american
- gene expression
- cardiovascular disease
- type diabetes
- case control
- healthcare
- induced apoptosis
- public health
- multidrug resistant
- meta analyses
- risk assessment
- cell proliferation
- randomized controlled trial
- oxidative stress
- skeletal muscle
- body mass index
- long non coding rna
- genome wide analysis
- adipose tissue
- endoplasmic reticulum stress