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Meta-Analysis
. 2011 Apr;7(4):e1002033.
doi: 10.1371/journal.pgen.1002033. Epub 2011 Apr 7.

Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption

Marilyn C Cornelis  1 , Keri L Monda, Kai Yu, Nina Paynter, Elizabeth M Azzato, Siiri N Bennett, Sonja I Berndt, Eric Boerwinkle, Stephen Chanock, Nilanjan Chatterjee, David Couper, Gary Curhan, Gerardo Heiss, Frank B Hu, David J Hunter, Kevin Jacobs, Majken K Jensen, Peter Kraft, Maria Teresa Landi, Jennifer A Nettleton, Mark P Purdue, Preetha Rajaraman, Eric B Rimm, Lynda M Rose, Nathaniel Rothman, Debra Silverman, Rachael Stolzenberg-Solomon, Amy Subar, Meredith Yeager, Daniel I Chasman, Rob M van Dam, Neil E Caporaso
Affiliations
Meta-Analysis

Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption

Marilyn C Cornelis et al. PLoS Genet. 2011 Apr.

Abstract

We report the first genome-wide association study of habitual caffeine intake. We included 47,341 individuals of European descent based on five population-based studies within the United States. In a meta-analysis adjusted for age, sex, smoking, and eigenvectors of population variation, two loci achieved genome-wide significance: 7p21 (P = 2.4 × 10(-19)), near AHR, and 15q24 (P = 5.2 × 10(-14)), between CYP1A1 and CYP1A2. Both the AHR and CYP1A2 genes are biologically plausible candidates as CYP1A2 metabolizes caffeine and AHR regulates CYP1A2.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. QQ plot for the genome-wide meta-analysis of caffeine consumption.
Figure 2
Figure 2. The –log10 P-plots for the genome-wide meta-analysis of caffeine consumption.
Figure 3
Figure 3. Forest plots of the meta-analysis for the two caffeine-associated loci.
A) rs4410790 and B) rs2470893. The contributing effect from each study is shown by a square, with confidence intervals indicated by horizontal lines. The contributing weight of each study to the meta-analysis is indicated by the size of the square. The meta-analysis estimate is shown at the bottom of each graph.
See this image and copyright information in PMC

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