Literature DB >> 20631687

Variation in the nicotinic acetylcholine receptor gene cluster CHRNA5-CHRNA3-CHRNB4 and its interaction with recent tobacco use influence cognitive flexibility.

Huiping Zhang1, Henry R Kranzler, James Poling, Joel Gelernter.   

Abstract

Variants in the CHRNA5-CHRNA3-CHRNB4 gene cluster have been associated with nicotine dependence (ND) and ND-related traits. To evaluate a potential underlying mechanism for this association, we investigated the effects of 10 variants in this gene cluster and their interactive effects as a result of recent smoking on cognitive flexibility, a possible mediator of genetic effects in smokers. Cognitive flexibility of 466 European Americans (EAs; 360 current smokers) and 805 African Americans (AAs; 635 current smokers) was assessed using the Wisconsin Card Sorting Test. The main effects of variants and haplotypes and their interaction with recent smoking on cognitive flexibility were examined using multivariate analysis of variance and the haplotype analysis program HAPSTAT. In EAs, the major alleles of five variants (CHRNA5-rs3841324-22 bp-insertion-allele, CHRNA5-rs615470-C-allele, CHRNA3-rs6495307-C-allele, CHRNA3-rs2869546-T-allele, and CHRNB4-rs11637890-C-allele) were associated with significantly greater perseverative responses (P=0.003-0.017) and perseverative errors (P=0.004-0.026; recessive effect). Among EAs homozygous for the major alleles of each of these five variants, current smokers made fewer perseverative responses and perseverative errors than did past smokers. Significant interactive effects of four variants (rs3841324, rs615470, rs6495307, and rs2869546) and current smoking on cognitive flexibility were observed (perseverative responses (P=0.010-0.044); perseverative errors (P=0.017-0.050)). However, in AAs, 10 variants in this gene cluster showed no apparent effects on cognitive flexibility. These findings suggest that variation in the CHRNA5-CHRNA3-CHRNB4 gene cluster influences cognitive flexibility differentially in AAs and EAs and that current smoking moderates this effect. These findings could account in part for differences in ND risk associated with these variants in AAs and EAs.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20631687      PMCID: PMC3055317          DOI: 10.1038/npp.2010.95

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  47 in total

1.  Extent of smoking and nicotine dependence in the United States: 1991-1993.

Authors:  D B Kandel; K Chen
Journal:  Nicotine Tob Res       Date:  2000-08       Impact factor: 4.244

2.  Smoking history and nicotine effects on cognitive performance.

Authors:  M Ernst; S J Heishman; L Spurgeon; E D London
Journal:  Neuropsychopharmacology       Date:  2001-09       Impact factor: 7.853

3.  Wisconsin Card Sorting revisited: distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging.

Authors:  O Monchi; M Petrides; V Petre; K Worsley; A Dagher
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

4.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

5.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

6.  Endogenous nicotinic cholinergic activity regulates dopamine release in the striatum.

Authors:  F M Zhou; Y Liang; J A Dani
Journal:  Nat Neurosci       Date:  2001-12       Impact factor: 24.884

Review 7.  Cognitive effects of nicotine.

Authors:  A H Rezvani; E D Levin
Journal:  Biol Psychiatry       Date:  2001-02-01       Impact factor: 13.382

8.  High throughput genotyping for the detection of a single nucleotide polymorphism in NAD(P)H quinone oxidoreductase (DT diaphorase) using TaqMan probes.

Authors:  M M Shi; S P Myrand; M R Bleavins; F A de la Iglesia
Journal:  Mol Pathol       Date:  1999-10

9.  Mutational analysis of the nicotinic acetylcholine receptor alpha 4 subunit gene in attention deficit/hyperactivity disorder: evidence for association of an intronic polymorphism with attention problems.

Authors:  R D Todd; E A Lobos; L-W Sun; R J Neuman
Journal:  Mol Psychiatry       Date:  2003-01       Impact factor: 15.992

10.  Cognitive flexibility and adaptability to environmental changes in dynamic complex problem-solving tasks.

Authors:  José Cañas; José F Quesada; Adoración Antolí; Inmaculada Fajardo
Journal:  Ergonomics       Date:  2003-04-15       Impact factor: 2.778

View more
  16 in total

1.  Pharmacogenetics of smoking cessation: role of nicotine target and metabolism genes.

Authors:  Allison B Gold; Caryn Lerman
Journal:  Hum Genet       Date:  2012-01-31       Impact factor: 4.132

2.  Differences in delay discounting between smokers and nonsmokers remain when both rewards are delayed.

Authors:  Suzanne H Mitchell; Vanessa B Wilson
Journal:  Psychopharmacology (Berl)       Date:  2011-10-08       Impact factor: 4.530

Review 3.  Neural systems governed by nicotinic acetylcholine receptors: emerging hypotheses.

Authors:  Julie M Miwa; Robert Freedman; Henry A Lester
Journal:  Neuron       Date:  2011-04-14       Impact factor: 17.173

4.  α3* Nicotinic Acetylcholine Receptors in the Habenula-Interpeduncular Nucleus Circuit Regulate Nicotine Intake.

Authors:  Karim S Elayouby; Masago Ishikawa; Angeline J Dukes; Alexander C W Smith; Qun Lu; Christie D Fowler; Paul J Kenny
Journal:  J Neurosci       Date:  2020-12-30       Impact factor: 6.167

5.  Effect of genetic variation in the nicotinic receptor genes on risk for posttraumatic stress disorder.

Authors:  Nathan A Kimbrel; Melanie E Garrett; Michelle F Dennis; Yutao Liu; Ilyas Patanam; Va Mid-Atlantic Mirecc Workgroup; Allison E Ashley-Koch; Michael A Hauser; Jean C Beckham
Journal:  Psychiatry Res       Date:  2015-07-08       Impact factor: 3.222

6.  Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth.

Authors:  Joan Kaufman; Janitza L Montalvo-Ortiz; Hannah Holbrook; Kerry O'Loughlin; Catherine Orr; Catherine Kearney; Bao-Zhu Yang; Tao Wang; Hongyu Zhao; Robert Althoff; Hugh Garavan; Joel Gelernter; James Hudziak
Journal:  J Pediatr       Date:  2018-08-31       Impact factor: 4.406

7.  Nicotinic receptor gene variants interact with attention deficient hyperactive disorder symptoms to predict smoking trajectories from early adolescence to adulthood.

Authors:  Chien-Ti Lee; Bernard F Fuemmeler; F Joseph McClernon; Allison Ashley-Koch; Scott H Kollins
Journal:  Addict Behav       Date:  2013-07-01       Impact factor: 3.913

8.  Variants in the 15q25 gene cluster are associated with risk for schizophrenia and bipolar disorder.

Authors:  Kia J Jackson; Ayman H Fanous; Jingchun Chen; Kenneth S Kendler; Xiangning Chen
Journal:  Psychiatr Genet       Date:  2013-02       Impact factor: 2.458

9.  A complex interplay between personality domains, marital status and a variant in CHRNA5 on the risks of cocaine, nicotine dependences and cocaine-induced paranoia.

Authors:  Tetyana Zayats; Bao-Zhu Yang; Pingxing Xie; James Poling; Lindsay A Farrer; Joel Gelernter
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

10.  Lack of association between COMT and working memory in a population-based cohort of healthy young adults.

Authors:  Margaret C Wardle; Harriet de Wit; Ian Penton-Voak; Glyn Lewis; Marcus R Munafò
Journal:  Neuropsychopharmacology       Date:  2013-01-21       Impact factor: 7.853

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.