Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index.

Détails

Ressource 1Télécharger: BIB_5E275DB706A4.P001.pdf (198.78 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_5E275DB706A4
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index.
Périodique
International Journal of Epidemiology
Auteur⸱e⸱s
Freathy R.M., Kazeem G.R., Morris R.W., Johnson P.C., Paternoster L., Ebrahim S., Hattersley A.T., Hill A., Hingorani A.D., Holst C., Jefferis B.J., Kring S.I., Mooser V., Padmanabhan S., Preisig M., Ring S.M., Sattar N., Upton M.N., Vollenweider P., Waeber G., Sørensen T.I., Frayling T.M., Watt G., Lawlor D.A., Whincup P.H., Tozzi F., Davey Smith G., Munafò M.
ISSN
1464-3685 (Electronic)
ISSN-L
0300-5771
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
40
Numéro
6
Pages
1617-28
Langue
anglais
Résumé
BACKGROUND: Cigarette smoking is associated with lower body mass index (BMI), and a commonly cited reason for unwillingness to quit smoking is a concern about weight gain. Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region (chromosome 15q25) is robustly associated with smoking quantity in smokers, but its association with BMI is unknown. We hypothesized that genotype would accurately reflect smoking exposure and that, if smoking were causally related to weight, it would be associated with BMI in smokers, but not in never smokers. METHODS: We stratified nine European study samples by smoking status and, in each stratum, analysed the association between genotype of the 15q25 SNP, rs1051730, and BMI. We meta-analysed the results (n = 24 198) and then tested for a genotype × smoking status interaction. RESULTS: There was no evidence of association between BMI and genotype in the never smokers {difference per T-allele: 0.05 kg/m(2) [95% confidence interval (95% CI): -0.05 to 0.18]; P = 0.25}. However, in ever smokers, each additional smoking-related T-allele was associated with a 0.23 kg/m(2) (95% CI: 0.13-0.31) lower BMI (P = 8 × 10(-6)). The effect size was larger in current [0.33 kg/m(2) lower BMI per T-allele (95% CI: 0.18-0.48); P = 6 × 10(-5)], than in former smokers [0.16 kg/m(2) (95% CI: 0.03-0.29); P = 0.01]. There was strong evidence of genotype × smoking interaction (P = 0.0001). CONCLUSIONS: Smoking status modifies the association between the 15q25 variant and BMI, which strengthens evidence that smoking exposure is causally associated with reduced BMI. Smoking cessation initiatives might be more successful if they include support to maintain a healthy BMI.
Pubmed
Web of science
Open Access
Oui
Création de la notice
15/06/2011 11:26
Dernière modification de la notice
20/08/2019 15:16
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