TY - JOUR
T1 - Genome-wide Association Study of Smoking Initiation and Current Smoking
AU - Vink, J.M.
AU - Smit, A.B.
AU - de Geus, E.J.C.
AU - Sullivan, P.F.
AU - Willemsen, G.
AU - Hottenga, J.J.
AU - Smit, J.H.
AU - Hoogendijk, W.J.G.
AU - Zitman, F. G.
AU - Peltonen, L.
AU - Kaprio, J.
AU - Pedersen, N.L.
AU - Magnusson, P.K.E.
AU - Spector, T.D.
AU - Kyvik, K.O.
AU - Morley, K.I.
AU - Heath, A.C.
AU - Martin, N.G.
AU - Westendorp, R.G.J.
AU - Slagboom, P.E.
AU - Tiemeier, H.
AU - Hofman, A.
AU - Uitterlinden, A.G.
AU - Aulchenko, Y.S.
AU - Amin, N.
AU - van Duijn, C.
AU - Penninx, B.W.J.H.
AU - Boomsma, D.I.
PY - 2009
Y1 - 2009
N2 - 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. © 2009 The American Society of Human Genetics.
AB - 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. © 2009 The American Society of Human Genetics.
U2 - 10.1016/j.ajhg.2009.02.001
DO - 10.1016/j.ajhg.2009.02.001
M3 - Article
SN - 0002-9297
VL - 84
SP - 367
EP - 379
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 3
ER -