TY - JOUR
T1 - Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior
AU - Swiss Kidney Project on Genes in Hypertension (SKIPOGH) team
AU - Cornelis, Marilyn C.
AU - Kacprowski, Tim
AU - Menni, Cristina
AU - Gustafsson, Stefan
AU - Pivin, Edward
AU - Adamski, Jerzy
AU - Artati, Anna
AU - Eap, Chin B.
AU - Ehret, Georg
AU - Friedrich, Nele
AU - Ganna, Andrea
AU - Guessous, Idris
AU - Homuth, Georg
AU - Lind, Lars
AU - Magnusson, Patrik K.
AU - Mangino, Massimo
AU - Pedersen, Nancy L.
AU - Pietzner, Maik
AU - Suhre, Karsten
AU - Völzke, Henry
AU - Bochud, Murielle
AU - Spector, Tim D.
AU - Grabe, Hans J.
AU - Ingelsson, Erik
AU - Burnier, Michel
AU - Devuyst, Olivier
AU - Martin, Pierre Yves
AU - Mohaupt, Markus
AU - Paccaud, Fred
AU - Pechere-Bertschi, Antoinette
AU - Vogt, Bruno
AU - Ackermann, Daniel
AU - Ponte, Belen
AU - Pruijm, Menno
N1 - Funding Information:
We thank everyone who has contributed to the data collection, genotyping and analysis of the individual cohorts, as well as all the study participants. We especially thank Dr Werner Römisch-Margl who contributed to SHIP sample preparation. This research has been conducted using the UK Biobank Resource. Summary-level and UK Biobank computations in this paper were run on the Quest cluster supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. Full sets of summary association statistics are available at https://digitalhub.northwest ern.edu/users/mcc340. This work was funded by the American Diabetes Association (7-13-JF-15 to M.C.C.) with additional funding for study-specific infrastructure and data collection. SHIP-TREND is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (BMBF, grants no. 01ZZ9603, 01ZZ0103 and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. Generation of genome-wide data for SHIP-TREND was also supported by the BMBF (grant no. 03ZIK012). SKIPOGH is funded by the Swiss National Science Foundation (FN33CM30-124087). K.S. is supported by 'Biomedical Research Program' funds at Weill Cornell Medicine in Qatar, a program funded by the Qatar Foundation.
Publisher Copyright:
© The Author 2016.
PY - 2016
Y1 - 2016
N2 - 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 metabolismand 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.
AB - 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 metabolismand 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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U2 - 10.1093/hmg/ddw334
DO - 10.1093/hmg/ddw334
M3 - Article
C2 - 27702941
AN - SCOPUS:85016000379
SN - 0964-6906
VL - 25
SP - 5472
EP - 5482
JO - Human molecular genetics
JF - Human molecular genetics
IS - 24
ER -