Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Olle Melander

Principal investigator

Default user image.

Genome-wide meta-analyses identify multiple loci associated with smoking behavior

Author

  • Helena Furberg
  • YunJung Kim
  • Jennifer Dackor
  • Eric Boerwinkle
  • Nora Franceschini
  • Diego Ardissino
  • Luisa Bernardinelli
  • Pier M. Mannucci
  • Francesco Mauri
  • Piera A. Merlini
  • Devin Absher
  • Themistocles L. Assimes
  • Stephen P. Fortmann
  • Carlos Iribarren
  • Joshua W. Knowles
  • Thomas Quertermous
  • Luigi Ferrucci
  • Toshiko Tanaka
  • Joshua C. Bis
  • Curt D. Furberg
  • Talin Haritunians
  • Barbara McKnight
  • Bruce M. Psaty
  • Kent D. Taylor
  • Evan L. Thacker
  • Peter Almgren
  • Leif Groop
  • Claes Ladenvall
  • Michael Boehnke
  • Anne U. Jackson
  • Karen L. Mohlke
  • Heather M. Stringham
  • Jaakko Tuomilehto
  • Emelia J. Benjamin
  • Shih-Jen Hwang
  • Daniel Levy
  • Sarah Rosner Preis
  • Ramachandran S. Vasan
  • Jubao Duan
  • Pablo V. Gejman
  • Douglas F. Levinson
  • Alan R. Sanders
  • Jianxin Shi
  • Esther H. Lips
  • James D. Mckay
  • Antonio Agudo
  • Luigi Barzan
  • Vladimir Bencko
  • Simone Benhamou
  • Xavier Castellsague
  • Cristina Canova
  • David I. Conway
  • Eleonora Fabianova
  • Lenka Foretova
  • Vladimir Janout
  • Claire M. Healy
  • Ivana Holcatova
  • Kristina Kjaerheim
  • Pagona Lagiou
  • Jolanta Lissowska
  • Ray Lowry
  • Tatiana V. Macfarlane
  • Dana Mates
  • Lorenzo Richiardi
  • Peter Rudnai
  • Neonilia Szeszenia-Dabrowska
  • David Zaridze
  • Ariana Znaor
  • Mark Lathrop
  • Paul Brennan
  • Stefania Bandinelli
  • Timothy M. Frayling
  • Jack M. Guralnik
  • Yuri Milaneschi
  • John R. B. Perry
  • David Altshuler
  • Roberto Elosua
  • Sek Kathiresan
  • Gavin Lucas
  • Olle Melander
  • Christopher J. O'Donnell
  • Veikko Salomaa
  • Stephen M. Schwartz
  • Benjamin F. Voight
  • Brenda W. Penninx
  • Johannes H. Smit
  • Nicole Vogelzangs
  • Dorret I. Boomsma
  • Eco J. C. de Geus
  • Jacqueline M. Vink
  • Gonneke Willemsen
  • Stephen J. Chanock
  • Fangyi Gu
  • Susan E. Hankinson
  • David J. Hunter
  • Albert Hofman
  • Henning Tiemeier
  • Andre G. Uitterlinden
  • Cornelia M. van Duijn
  • Stefan Walter
  • Daniel I. Chasman
  • Brendan M. Everett
  • Guillaume Pare
  • Paul M. Ridker
  • Ming D. Li
  • Hermine H. Maes
  • Janet Audrain-McGovern
  • Danielle Posthuma
  • Laura M. Thornton
  • Caryn Lerman
  • Jaakko Kaprio
  • Jed E. Rose
  • John P. A. Ioannidis
  • Peter Kraft
  • Dan-Yu Lin
  • Patrick F. Sullivan

Summary, in English

Consistent but indirect evidence has implicated genetic factors in smoking behavior1,2. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], b = 1.03, standard error (s.e.) = 0.053, beta = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], b = 0.367, s. e. = 0.059, beta = 5.7 x 10(-10); and rs1028936[A], b = 0.446, s. e. = 0.074, beta = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], b = 0.333, s. e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.

Department/s

  • Genomics, Diabetes and Endocrinology
  • Cardiovascular Research - Hypertension
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2010

Language

English

Pages

134-441

Publication/Series

Nature Genetics

Volume

42

Issue

5

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Cardiac and Cardiovascular Systems
  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology
  • Cardiovascular Research - Hypertension

ISBN/ISSN/Other

  • ISSN: 1546-1718