Literature DB >> 27702941

Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior.

Marilyn C Cornelis1, Tim Kacprowski2,3, Cristina Menni4, Stefan Gustafsson5, Edward Pivin6, Jerzy Adamski7,8,9, Anna Artati7, Chin B Eap10,11, Georg Ehret12,13, Nele Friedrich3,14, Andrea Ganna15,16, Idris Guessous6,17,18, Georg Homuth2, Lars Lind19, Patrik K Magnusson20, Massimo Mangino4, Nancy L Pedersen20, Maik Pietzner3,14, Karsten Suhre21,22, Henry Völzke23, Murielle Bochud6, Tim D Spector4, Hans J Grabe24, Erik Ingelsson5,25.   

Abstract

Caffeine is the most widely consumed psychoactive substance in the world and presents with wide interindividual variation in metabolism. This variation may modify potential adverse or beneficial effects of caffeine on health. We conducted a genome-wide association study (GWAS) of plasma caffeine, paraxanthine, theophylline, theobromine and paraxanthine/caffeine ratio among up to 9,876 individuals of European ancestry from six population-based studies. A single SNP at 6p23 (near CD83) and several SNPs at 7p21 (near AHR), 15q24 (near CYP1A2) and 19q13.2 (near CYP2A6) met GW-significance (P < 5 × 10-8) and were associated with one or more metabolites. Variants at 7p21 and 15q24 associated with higher plasma caffeine and lower plasma paraxanthine/caffeine (slow caffeine metabolism) were previously associated with lower coffee and caffeine consumption behavior in GWAS. Variants at 19q13.2 associated with higher plasma paraxanthine/caffeine (slow paraxanthine metabolism) were also associated with lower coffee consumption in the UK Biobank (n = 94 343, P < 1.0 × 10-6). Variants at 2p24 (in GCKR), 4q22 (in ABCG2) and 7q11.23 (near POR) that were previously associated with coffee consumption in GWAS were nominally associated with plasma caffeine or its metabolites. Taken together, we have identified genetic factors contributing to variation in caffeine metabolism and confirm an important modulating role of systemic caffeine levels in dietary caffeine consumption behavior. Moreover, candidate genes identified encode proteins with important clinical functions that extend beyond caffeine metabolism.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27702941     DOI: 10.1093/hmg/ddw334

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  44 in total

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3.  A genome-wide association study of bitter and sweet beverage consumption.

Authors:  Victor W Zhong; Alan Kuang; Rebecca D Danning; Peter Kraft; Rob M van Dam; Daniel I Chasman; Marilyn C Cornelis
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5.  Caffeinated Coffee and Tea Consumption, Genetic Variation and Cognitive Function in the UK Biobank.

Authors:  Marilyn C Cornelis; Sandra Weintraub; Martha Clare Morris
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6.  Single Nucleotide Polymorphisms (SNPs) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction.

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7.  Association of Coffee Drinking With Mortality by Genetic Variation in Caffeine Metabolism: Findings From the UK Biobank.

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8.  Coffee consumption and all-cause and cause-specific mortality: a meta-analysis by potential modifiers.

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9.  Habitual Coffee and Tea Consumption and Cardiometabolic Biomarkers in the UK Biobank: The Role of Beverage Types and Genetic Variation.

Authors:  Marilyn C Cornelis; Rob M van Dam
Journal:  J Nutr       Date:  2020-10-12       Impact factor: 4.798

Review 10.  The Taste of Caffeine.

Authors:  Rachel L Poole; Michael G Tordoff
Journal:  J Caffeine Res       Date:  2017-06-01
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