Literature DB >> 15048644

Candidate genes for nicotine dependence via linkage, epistasis, and bioinformatics.

Patrick F Sullivan1, Benjamin M Neale, Edwin van den Oord, Michael F Miles, Michael C Neale, Cynthia M Bulik, Peter R Joyce, Richard E Straub, Kenneth S Kendler.   

Abstract

Many smoking-related phenotypes are substantially heritable. One genome scan of nicotine dependence (ND) has been published and several others are in progress and should be completed in the next 5 years. The goal of this hypothesis-generating study was two-fold. First, we present further analyses of our genome scan data for ND published by Straub et al. [1999: Mol Psychiatry 4:129-144] (PMID: 10208445). Second, we used the method described by Cox et al. [1999: Nat Genet 21:213-215] (PMID: 9988276) to search for epistatic loci across the markers used in the genome scan. The overall results of the genome scan nearly reached the rigorous Lander and Kruglyak [1995: Nat Genet 11:241-247] criteria for "significant" linkage with the best findings on chromosomes 10 and 2. We then looked for correspondence between genes located in the 10 regions implicated in affected sibling pair (ASP) and epistatic linkage analyses with a list of genes suggested by microarray studies of experimental nicotine exposure and candidate genes from the literature. We found correspondence between linkage and microarray/candidate gene studies for genes involved with the mitogen-activated protein kinase (MAPK) signaling system, nuclear factor kappa B (NFKB) complex, neuropeptide Y (NPY) neurotransmission, a nicotinic receptor subunit (CHRNA2), the vesicular monoamine transporter (SLC18A2), genes in pathways implicated in human anxiety (HTR7, TDO2, and the endozepine-related protein precursor, DKFZP434A2417), and the micro 1-opioid receptor (OPRM1). Although the hypotheses resulting from these linkage and bioinformatic analyses are plausible and intriguing, their ultimate worth depends on replication in additional linkage samples and in future experimental studies. Copyright 2003 Wiley-Liss, Inc.

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Year:  2004        PMID: 15048644     DOI: 10.1002/ajmg.b.20138

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  35 in total

1.  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

Review 2.  Transcriptional and epigenetic mechanisms of addiction.

Authors:  Alfred J Robison; Eric J Nestler
Journal:  Nat Rev Neurosci       Date:  2011-10-12       Impact factor: 34.870

3.  Linkage scan of nicotine dependence in the University of California, San Francisco (UCSF) Family Alcoholism Study.

Authors:  I R Gizer; C L Ehlers; C Vieten; K L Seaton-Smith; H S Feiler; J V Lee; S K Segall; D A Gilder; K C Wilhelmsen
Journal:  Psychol Med       Date:  2010-07-01       Impact factor: 7.723

Review 4.  "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

5.  Familial aggregation of tobacco use behaviors among Amish men.

Authors:  Katie L Nugent; Amber Million-Mrkva; Joshua Backman; Sarah H Stephens; Robert M Reed; Peter Kochunov; Toni I Pollin; Alan R Shuldiner; Braxton D Mitchell; L Elliot Hong
Journal:  Nicotine Tob Res       Date:  2014-02-28       Impact factor: 4.244

6.  Nicotine withdrawal sensitivity, linkage to chr6q26, and association of OPRM1 SNPs in the SMOking in FAMilies (SMOFAM) sample.

Authors:  Jill Hardin; Yungang He; Harold S Javitz; Jennifer Wessel; Ruth E Krasnow; Elizabeth Tildesley; Hyman Hops; Gary E Swan; Andrew W Bergen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

7.  A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases-schizophrenia as a case.

Authors:  Jingchun Sun; Peilin Jia; Ayman H Fanous; Bradley T Webb; Edwin J C G van den Oord; Xiangning Chen; Jozsef Bukszar; Kenneth S Kendler; Zhongming Zhao
Journal:  Bioinformatics       Date:  2009-07-14       Impact factor: 6.937

Review 8.  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

Review 9.  OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models.

Authors:  Stephen D Mague; Julie A Blendy
Journal:  Drug Alcohol Depend       Date:  2010-01-13       Impact factor: 4.492

10.  Network and Pathway-Based Analyses of Genes Associated with Parkinson's Disease.

Authors:  Yanshi Hu; Zhenhua Pan; Ying Hu; Lei Zhang; Ju Wang
Journal:  Mol Neurobiol       Date:  2016-06-27       Impact factor: 5.590

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