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

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

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 ach...

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Autores principales: Marilyn C Cornelis, 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
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2011
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Genetics
QH426-470
Acceso en línea:https://doaj.org/article/efae535c6ce54d40ad11752fdd73c8ee
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spelling oai:doaj.org-article:efae535c6ce54d40ad11752fdd73c8ee2021-11-18T06:17:34ZGenome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.1553-73901553-740410.1371/journal.pgen.1002033https://doaj.org/article/efae535c6ce54d40ad11752fdd73c8ee2011-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21490707/?tool=EBIhttps://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404We 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.Marilyn C CornelisKeri L MondaKai YuNina PaynterElizabeth M AzzatoSiiri N BennettSonja I BerndtEric BoerwinkleStephen ChanockNilanjan ChatterjeeDavid CouperGary CurhanGerardo HeissFrank B HuDavid J HunterKevin JacobsMajken K JensenPeter KraftMaria Teresa LandiJennifer A NettletonMark P PurduePreetha RajaramanEric B RimmLynda M RoseNathaniel RothmanDebra SilvermanRachael Stolzenberg-SolomonAmy SubarMeredith YeagerDaniel I ChasmanRob M van DamNeil E CaporasoPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 7, Iss 4, p e1002033 (2011)
institution DOAJ
collection DOAJ
language EN
topic Genetics
QH426-470
spellingShingle Genetics
QH426-470
Marilyn C Cornelis
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
Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
description 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.
format article
author Marilyn C Cornelis
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
author_facet Marilyn C Cornelis
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
author_sort Marilyn C Cornelis
title Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
title_short Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
title_full Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
title_fullStr Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
title_full_unstemmed Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.
title_sort genome-wide meta-analysis identifies regions on 7p21 (ahr) and 15q24 (cyp1a2) as determinants of habitual caffeine consumption.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/efae535c6ce54d40ad11752fdd73c8ee
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