TY - JOUR
T1 - Genome-wide Association Study of Smoking Initiation and Current Smoking
AU - Vink, Jacqueline M.
AU - Smit, August B.
AU - de Geus, Eco J.C.
AU - Sullivan, Patrick
AU - Willemsen, Gonneke
AU - Hottenga, Jouke Jan
AU - Smit, Johannes H.
AU - Hoogendijk, Witte J.
AU - Zitman, Frans G.
AU - Peltonen, Leena
AU - Kaprio, Jaakko
AU - Pedersen, Nancy L.
AU - Magnusson, Patrik K.
AU - Spector, Tim D.
AU - Kyvik, Kirsten Ohm
AU - Morley, Katherine I.
AU - Heath, Andrew C.
AU - Martin, Nicholas G.
AU - Westendorp, Rudi G.J.
AU - Slagboom, P. Eline
AU - Tiemeier, Henning
AU - Hofman, Albert
AU - Uitterlinden, Andre G.
AU - Aulchenko, Yurii S.
AU - Amin, Najaf
AU - van Duijn, Cornelia
AU - Penninx, Brenda W.
AU - Boomsma, Dorret I.
PY - 2009/3/13
Y1 - 2009/3/13
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.
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.
UR - https://www.scopus.com/pages/publications/61849154183
U2 - 10.1016/j.ajhg.2009.02.001
DO - 10.1016/j.ajhg.2009.02.001
M3 - Article
C2 - 19268276
AN - SCOPUS:61849154183
SN - 0002-9297
VL - 84
SP - 367
EP - 379
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 3
ER -