Human Molecular Genetics Advance Access originally published online on November 29, 2006
Human Molecular Genetics 2007 16(1):36-49; doi:10.1093/hmg/ddl438
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Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs


1 Department of Psychiatry and 2 Department of Genetics, Box 8134, Washington University School of Medicine, 660 South Euclid Avenue, St Louis, MO 63110, USA, 3 Department of Health Evaluation Sciences, Penn State College of Medicine, Hershey, PA 17033, USA, 4 Perlegen Sciences, Mountain View, CA 94043, USA, 5 Department of Epidemiology, Michigan State University, East Lansing, MI 48824, USA, 6 Research Triangle Institute International, Research Triangle Park, NC 27709, USA, 7 Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA, 8 Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA, 9 Center for Health Sciences, SRI International, Menlo Park, CA 94025, USA, 10 National Institute on Drug Abuse, Bethesda, MD 20892, USA, 11 Rutgers University Cell and DNA Repository, Rutgers University, Piscataway, NJ 08854, USA and 12 Queensland Institute of Medical Research, Queensland 4029, Australia
* To whom correspondence should be addressed. Tel: +1 3142862581; Fax: +1 3142862577; Email: saccones{at}msnotes.wustl.edu
Received August 11, 2006; Revised September 26, 2006; Accepted November 10, 2006
Nicotine dependence is one of the world's leading causes of preventable death. To discover genetic variants that influence risk for nicotine dependence, we targeted over 300 candidate genes and analyzed 3713 single nucleotide polymorphisms (SNPs) in 1050 cases and 879 controls. The Fagerström test for nicotine dependence (FTND) was used to assess dependence, in which cases were required to have an FTND of 4 or more. The control criterion was strict: control subjects must have smoked at least 100 cigarettes in their lifetimes and had an FTND of 0 during the heaviest period of smoking. After correcting for multiple testing by controlling the false discovery rate, several cholinergic nicotinic receptor genes dominated the top signals. The strongest association was from an SNP representing CHRNB3, the ß3 nicotinic receptor subunit gene (P = 9.4 x 105). Biologically, the most compelling evidence for a risk variant came from a non-synonymous SNP in the
5 nicotinic receptor subunit gene CHRNA5 (P = 6.4 x 104). This SNP exhibited evidence of a recessive mode of inheritance, resulting in individuals having a 2-fold increase in risk of developing nicotine dependence once exposed to cigarette smoking. Other genes among the top signals were KCNJ6 and GABRA4. This study represents one of the most powerful and extensive studies of nicotine dependence to date and has found novel risk loci that require confirmation by replication studies.
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.
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