Unknown

Dataset Information

0

Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior.


ABSTRACT: Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9,040). Variants in three genomic regions associated with CPD (P < 5 x 10(-8)), including previously identified SNPs at 15q25 represented by rs1051730[A] (effect size = 0.80 CPD, P = 2.4 x 10(-69)), and SNPs at 19q13 and 8p11, represented by rs4105144[C] (effect size = 0.39 CPD, P = 2.2 x 10(-12)) and rs6474412-T (effect size = 0.29 CPD, P = 1.4 x 10(-8)), respectively. Among the genes at the two newly associated loci are genes encoding nicotine-metabolizing enzymes (CYP2A6 and CYP2B6) and nicotinic acetylcholine receptor subunits (CHRNB3 and CHRNA6), all of which have been highlighted in previous studies of smoking and nicotine dependence. Nominal associations with lung cancer were observed at both 8p11 (rs6474412[T], odds ratio (OR) = 1.09, P = 0.04) and 19q13 (rs4105144[C], OR = 1.12, P = 0.0006).

SUBMITTER: Thorgeirsson TE 

PROVIDER: S-EPMC3080600 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior.

Thorgeirsson Thorgeir E TE   Gudbjartsson Daniel F DF   Surakka Ida I   Vink Jacqueline M JM   Amin Najaf N   Geller Frank F   Sulem Patrick P   Rafnar Thorunn T   Esko Tõnu T   Walter Stefan S   Gieger Christian C   Rawal Rajesh R   Mangino Massimo M   Prokopenko Inga I   Mägi Reedik R   Keskitalo Kaisu K   Gudjonsdottir Iris H IH   Gretarsdottir Solveig S   Stefansson Hreinn H   Thompson John R JR   Aulchenko Yurii S YS   Nelis Mari M   Aben Katja K KK   den Heijer Martin M   Dirksen Asger A   Ashraf Haseem H   Soranzo Nicole N   Valdes Ana M AM   Steves Claire C   Uitterlinden André G AG   Hofman Albert A   Tönjes Anke A   Kovacs Peter P   Hottenga Jouke Jan JJ   Willemsen Gonneke G   Vogelzangs Nicole N   Döring Angela A   Dahmen Norbert N   Nitz Barbara B   Pergadia Michele L ML   Saez Berta B   De Diego Veronica V   Lezcano Victoria V   Garcia-Prats Maria D MD   Ripatti Samuli S   Perola Markus M   Kettunen Johannes J   Hartikainen Anna-Liisa AL   Pouta Anneli A   Laitinen Jaana J   Isohanni Matti M   Huei-Yi Shen S   Allen Maxine M   Krestyaninova Maria M   Hall Alistair S AS   Jones Gregory T GT   van Rij Andre M AM   Mueller Thomas T   Dieplinger Benjamin B   Haltmayer Meinhard M   Jonsson Steinn S   Matthiasson Stefan E SE   Oskarsson Hogni H   Tyrfingsson Thorarinn T   Kiemeney Lambertus A LA   Mayordomo Jose I JI   Lindholt Jes S JS   Pedersen Jesper Holst JH   Franklin Wilbur A WA   Wolf Holly H   Montgomery Grant W GW   Heath Andrew C AC   Martin Nicholas G NG   Madden Pamela A F PA   Giegling Ina I   Rujescu Dan D   Järvelin Marjo-Riitta MR   Salomaa Veikko V   Stumvoll Michael M   Spector Tim D TD   Wichmann H-Erich HE   Metspalu Andres A   Samani Nilesh J NJ   Penninx Brenda W BW   Oostra Ben A BA   Boomsma Dorret I DI   Tiemeier Henning H   van Duijn Cornelia M CM   Kaprio Jaakko J   Gulcher Jeffrey R JR   McCarthy Mark I MI   Peltonen Leena L   Thorsteinsdottir Unnur U   Stefansson Kari K  

Nature genetics 20100425 5


Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9  ...[more]

Similar Datasets

| S-EPMC4975622 | biostudies-literature
| S-EPMC4894386 | biostudies-literature
| S-EPMC3984604 | biostudies-literature
| S-EPMC3869360 | biostudies-literature
| S-EPMC2880622 | biostudies-literature
| S-EPMC3788637 | biostudies-other
| S-EPMC5575130 | biostudies-literature
| S-EPMC4124190 | biostudies-literature
| S-EPMC2915837 | biostudies-literature
| S-EPMC3903516 | biostudies-literature