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Genome-wide Association Study of Smoking Initiation and Current Smoking

  • J.M. Vink
  • , A.B. Smit
  • , E.J.C. de Geus
  • , P.F. Sullivan
  • , G. Willemsen
  • , J.J. Hottenga
  • , J.H. Smit
  • , W.J.G. Hoogendijk
  • , F. G. Zitman
  • , L. Peltonen
  • , J. Kaprio
  • , N.L. Pedersen
  • , P.K.E. Magnusson
  • , T.D. Spector
  • , K.O. Kyvik
  • , K.I. Morley
  • , A.C. Heath
  • , N.G. Martin
  • , R.G.J. Westendorp
  • , P.E. Slagboom
  • H. Tiemeier, A. Hofman, A.G. Uitterlinden, Y.S. Aulchenko, N. Amin, C. van Duijn, B.W.J.H. Penninx, D.I. Boomsma

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)367-379
JournalAmerican Journal of Human Genetics
Volume84
Issue number3
DOIs
Publication statusPublished - 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Cohort Studies

  • Netherlands Twin Register (NTR)

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