Portal de Periódicos da CAPES

Genome-wide Association Study of Smoking Initiation and Current Smoking

2009; Elsevier BV; Volume: 84; Issue: 3 Linguagem: Inglês

10.1016/j.ajhg.2009.02.001

1537-6605

Jacqueline M. Vink, August B. Smit, Eco J. C. de Geus, Patrick F. Sullivan, Gonneke Willemsen, Jouke‐Jan Hottenga, Johannes H. Smit, Witte J.G. Hoogendijk, Frans G. Zitman, Leena Peltonen, Jaakko Kaprio, Nancy L. Pedersen, Patrik K. E. Magnusson, Tim D. Spector, Kirsten Ohm Kyvik, Katherine I. Morley, Andrew C. Heath, Nicholas G. Martin, Rudi G. J. Westendorp, P. Eline Slagboom, Henning Tiemeier, Albert Hofman, André G. Uitterlinden, Yurii S. Aulchenko, Najaf Amin, Cornelia M. van Duijn, Brenda W.J.H. Penninx, Dorret I. Boomsma,

Genetic Associations and Epidemiology

For the identification of genes associated with smoking initiation and current smoking, genome-wide association analyses were carried out in 3497 subjects. Significant genes that replicated in three independent samples (n = 405, 5810, and 1648) were visualized into a biologically meaningful network showing cellular location and direct interaction of their proteins. Several interesting groups of proteins stood out, including glutamate receptors (e.g., GRIN2B, GRIN2A, GRIK2, GRM8), proteins involved in tyrosine kinase receptor signaling (e.g., NTRK2, GRB14), transporters (e.g., SLC1A2, SLC9A9) and cell-adhesion molecules (e.g., CDH23). We conclude that a network-based genome-wide association approach can identify genes influencing smoking behavior. For the identification of genes associated with smoking initiation and current smoking, genome-wide association analyses were carried out in 3497 subjects. Significant genes that replicated in three independent samples (n = 405, 5810, and 1648) were visualized into a biologically meaningful network showing cellular location and direct interaction of their proteins. Several interesting groups of proteins stood out, including glutamate receptors (e.g., GRIN2B, GRIN2A, GRIK2, GRM8), proteins involved in tyrosine kinase receptor signaling (e.g., NTRK2, GRB14), transporters (e.g., SLC1A2, SLC9A9) and cell-adhesion molecules (e.g., CDH23). We conclude that a network-based genome-wide association approach can identify genes influencing smoking behavior.