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Gene-Environment Interaction in Parkinson's Disease: Coffee, ADORA2A, and CYP1A2

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  • Yu-Hsuan Chuang
  • Christina M Lill
  • Pei-Chen Lee
  • Johnni Hansen
  • Christina F Lassen
  • Lars Bertram
  • Naomi Greene
  • Janet S Sinsheimer
  • Beate Ritz
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BACKGROUND AND PURPOSE: Drinking caffeinated coffee has been reported to provide protection against Parkinson's disease (PD). Caffeine is an adenosine A2A receptor (encoded by the gene ADORA2A) antagonist that increases dopaminergic neurotransmission and Cytochrome P450 1A2 (gene: CYP1A2) metabolizes caffeine; thus, gene polymorphisms in ADORA2A and CYP1A2 may influence the effect coffee consumption has on PD risk.

METHODS: In a population-based case-control study (PASIDA) in Denmark (1,556 PD patients and 1,606 birth year- and gender-matched controls), we assessed interactions between lifetime coffee consumption and 3 polymorphisms in ADORA2A and CYP1A2 for all subjects, and incident and prevalent PD cases separately using logistic regression models. We also conducted a meta-analysis combining our results with those from previous studies.

RESULTS: We estimated statistically significant interactions for ADORA2A rs5760423 and heavy vs. light coffee consumption in incident (OR interaction = 0.66 [95% CI 0.46-0.94], p = 0.02) but not prevalent PD. We did not observe interactions for CYP1A2 rs762551 and rs2472304 in incident or prevalent PD. In meta-analyses, PD associations with daily coffee consumption were strongest among carriers of variant alleles in both ADORA2A and CYP1A2.

CONCLUSION: We corroborated results from a previous report that described interactions between ADORA2A and CYP1A2 polymorphisms and coffee consumption. Our results also suggest that survivor bias may affect results of studies that enroll prevalent PD cases.

Translated title of the contributionSamspil mellem arv og miljø ved Parkinsons sygdom: Kaffe, ADORA2A, og CYP1A2
Original languageEnglish
JournalNeuroepidemiology
Volume47
Issue number3-4
Pages (from-to)192-200
Number of pages9
ISSN0251-5350
DOIs
Publication statusPublished - 2016

    Research areas

  • Journal Article

ID: 49903697