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

副黄嘌呤 咖啡因 可可碱 全基因组关联研究 茶碱 单核苷酸多态性 生物 代谢组 药理学 遗传学 CYP1A2 新陈代谢 代谢组学 内分泌学 生物信息学 基因 基因型 细胞色素P450
作者
Marilyn C. Cornelis,Tim Kacprowski,Cristina Menni,Stefan Gustafsson,Edward Pivin,Jerzy Adamski,Anna Artati,Chin B. Eap,Georg Ehret,Nele Friedrich,Andrea Ganna,Idris Guessous,Georg Homuth,Lars Lind,Patrik K. E. Magnusson,Massimo Mangino,Nancy L. Pedersen,Maik Pietzner,Karsten Suhre,Henry Völzke,Murielle Bochud,Tim D. Spector,Hans J. Grabe,Erik Ingelsson
出处
期刊:Human Molecular Genetics [Oxford University Press]
卷期号:: ddw334-ddw334 被引量:110
标识
DOI:10.1093/hmg/ddw334
摘要

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.

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