Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 441176
Title CYP1A2 and coffee intake and the modifying effect of sex, age, and smoking
Author(s) Rodenburg, E.M.; Eijgelsheim, M.; Geleijnse, J.M.; Amin, N.; Duijn, C.M. van; Hofman, A.; Uitterlinden, A.G.; Stricker, B.H.; Visser, L.E.
Source American Journal of Clinical Nutrition 96 (2012)1. - ISSN 0002-9165 - p. 182 - 187.
Department(s) Chair Nutrition and Disease
Sub-department of Environmental Technology
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) genetic polymorphisms - caffeine consumption - risk - gender - substrate - genotype - female - cancer
Abstract Background: The enzyme CYP1A2 (cytochrome 1A2) is involved in the metabolism of certain drugs and caffeine, and its activity can be influenced by factors such as sex, age, and smoking. The single nucleotide polymorphism (SNP) rs762551A>C, which has also been studied for its modifying effect on cardiovascular disease, has been reported to alter enzyme activity. Objective: The objective was to study the effect of CYP1A2, sex, age, and smoking on coffee intake. Design: Within the Rotterdam Study, a population-based cohort, all coffee drinkers for whom genome-wide association data were available were selected. Because SNP rs762551 was not on the Illumina 550 platform, SNP rs2472299 was used as a proxy, with the A allele of rs762551 linked to the G allele of rs2472299. Linear regression analyses were used to determine the effect and interaction of rs2472299, sex, age, and smoking on coffee intake. Adjusted geometric means of coffee intake were calculated per genotype for the different smoking and sex strata by using multivariable general linear models. A combined analysis, with the use of a "risk score," was performed to determine the contribution of each separate factor. Results: rs2472299G>A, female sex, and nonsmoking were significantly inversely related to coffee intake. Coffee intake was lowest in nonsmoking women homozygous for rs2472299G>A (3.49 cups/d; similar to 436 mL). All factors contributed almost linearly to the intake of coffee, with the highest coffee intake in smoking men without the A allele (5.32 cups/d; similar to 665 mL). Conclusion: rs2472299G>A, linked to rs762551A>C, sex, age, and smoking significantly contribute to coffee intake. Am J Clin Nutr 2012;96:182-7.
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