Literature DB >> 10208445

Susceptibility genes for nicotine dependence: a genome scan and followup in an independent sample suggest that regions on chromosomes 2, 4, 10, 16, 17 and 18 merit further study.

R E Straub1, P F Sullivan, Y Ma, M V Myakishev, C Harris-Kerr, B Wormley, B Kadambi, H Sadek, M A Silverman, B T Webb, M C Neale, C M Bulik, P R Joyce, K S Kendler.   

Abstract

Cigarette smoking is associated with considerable morbidity, mortality, and public health costs. Genetic factors influence both smoking initiation and nicotine dependence, but none of the genes involved have been identified. A genome scan using 451 markers was conducted to identify chromosomal regions linked to nicotine dependence in a collection of 130 families containing 343 genotyped individuals (308 nicotine-dependent) from Christchurch, New Zealand. By pairwise analysis, the best result was with marker D2S1326 which gave a lod score under heterogeneity (H-LOD) of 2.63 (P=0.0012) and a nonparametric linkage (NPL, Zall) score of 2.65 (P=0.0011). To identify regions that warranted further study, rather than comparing the pairwise scores from the scan to theoretical thresholds, we compared them to an empirical baseline, found here to be H-LOD scores of 0.5 and Zall scores of 1.0. We also found a number of large (31-88 cM) regions where many (8-16) consecutive markers yielded small but positive Zall scores. Selected regions of chromosomes 2, 4, 10, 16, 17 and 18 were investigated further by additional genotyping of the Christchurch sample and an independent sample from Richmond, Virginia (91 families with 264 genotyped individuals, 211 nicotine-dependent). Multipoint nonparametric analysis showed the following maximums for the Christchurch sample: Chr. 2 (Zlr=2.61, P=0.005), Chr. 4 (Zlr=1.36, P=0.09), Chr. 10 (Zlr=2.43, P=0.008), Chr. 16 (Zlr=0.85, P=0.19), Chr. 17 (Zlr=1.64, P=0.05), Chr. 18 (Zlr=1.54, P=0.06). Analysis of the Richmond sample showed the following maximums: Chr. 2 (Zlr=1.00, P=0.15), Chr. 4 (Zlr=0.39, P=0.34), Chr. 10 (Zlr=1.21, P=0.11), Chr. 16 (Zlr=1.11, P=0.13), Chr. 17 (Zlr=1.60, P=0.05), Chr. 18 (Zlr=1.33, P=0.09). It is probable that the small samples used here provided only limited power to detect linkage. It may have been difficult therefore to detect genes of small effect, or those that are influencing risk in only a small proportion of the families. When simply judged against the usual standards of linkage significance, none of the individual regions yielded strong evidence in either sample. Some or all of the most positive results in the genome scan of the Christchurch sample, therefore, could be due to chance. However, the presence in the Christchurch scan of multiple large regions containing many consecutive positive markers, coupled with the relatively positive results in these same regions in the Richmond sample, suggests that some of these regions may contain genes influencing nicotine dependence and therefore deserve further study.

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Year:  1999        PMID: 10208445     DOI: 10.1038/sj.mp.4000518

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  49 in total

Review 1.  Genetic studies of alcoholism and substance dependence.

Authors:  T Reich; A Hinrichs; R Culverhouse; L Bierut
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Environmental and genetic determinants of tobacco use: methodology for a multidisciplinary, longitudinal family-based investigation.

Authors:  Gary E Swan; Karen Suchanek Hudmon; Lisa M Jack; Kymberli Hemberger; Dorit Carmelli; Taline V Khroyan; Huijun Z Ring; Hyman Hops; Judy A Andrews; Elizabeth Tildesley; Dale McBride; Neal Benowitz; Chris Webster; Kirk C Wilhelmsen; Heidi S Feiler; Barbara Koenig; Lorraine Caron; Judy Illes; Li S-C Cheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-10       Impact factor: 4.254

Review 3.  Molecular genetics of addiction vulnerability.

Authors:  George R Uhl
Journal:  NeuroRx       Date:  2006-07

4.  Gene-based analysis suggests association of the nicotinic acetylcholine receptor beta1 subunit (CHRNB1) and M1 muscarinic acetylcholine receptor (CHRM1) with vulnerability for nicotine dependence.

Authors:  Xiang-Yang Lou; Jennie Z Ma; Thomas J Payne; Joke Beuten; Karen M Crew; Ming D Li
Journal:  Hum Genet       Date:  2006-07-28       Impact factor: 4.132

5.  A genomewide search finds major susceptibility loci for nicotine dependence on chromosome 10 in African Americans.

Authors:  Ming D Li; Thomas J Payne; Jennie Z Ma; Xiang-Yang Lou; Dong Zhang; Randolph T Dupont; Karen M Crews; Grant Somes; Nancy J Williams; Robert C Elston
Journal:  Am J Hum Genet       Date:  2006-08-30       Impact factor: 11.025

6.  Associations of nicotine intake measures with CHRN genes in Finnish smokers.

Authors:  Kaisu Keskitalo-Vuokko; Janne Pitkäniemi; Ulla Broms; Markku Heliövaara; Arpo Aromaa; Markus Perola; Samuli Ripatti; Outi Salminen; Veikko Salomaa; Anu Loukola; Jaakko Kaprio
Journal:  Nicotine Tob Res       Date:  2011-04-16       Impact factor: 4.244

Review 7.  Genetics and smoking behavior.

Authors:  Robert A Schnoll; Terrance A Johnson; Caryn Lerman
Journal:  Curr Psychiatry Rep       Date:  2007-10       Impact factor: 5.285

Review 8.  The genetics of nicotine dependence.

Authors:  Ming D Li
Journal:  Curr Psychiatry Rep       Date:  2006-04       Impact factor: 5.285

Review 9.  "Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Oluwatosin O Fatusin; Qing-Rong Liu; Carlo Contoreggi; Chuan-Yun Li; Kari Buck; John Crabbe
Journal:  Biochem Pharmacol       Date:  2007-07-25       Impact factor: 5.858

Review 10.  Identifying susceptibility loci for nicotine dependence: 2008 update based on recent genome-wide linkage analyses.

Authors:  Ming D Li
Journal:  Hum Genet       Date:  2008-01-19       Impact factor: 4.132

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