Literature DB >> 17297074

A research agenda for assessing the potential contribution of genomic medicine to tobacco control.

Wayne D Hall1.   

Abstract

This paper identifies research priorities in evaluating the ways in which "genomic medicine"--the use of genetic information to prevent and treat disease--may reduce tobacco-related harm by: (1) assisting more smokers to quit; (2) preventing non-smokers from beginning to smoke tobacco; and (3) reducing the harm caused by tobacco smoking. The method proposed to achieve the first aim is "pharmacogenetics", the use of genetic information to optimise the selection of smoking-cessation programmes by screening smokers for polymorphisms that predict responses to different methods of smoking cessation. This method competes with the development of more effective forms of smoking cessation that involve vaccinating smokers against the effects of nicotine and using new pharmaceuticals (such as cannabinoid antagonists and nicotine agonists). The second and third aims are more speculative. They include: screening the population for genetic susceptibility to nicotine dependence and intervening (eg, by vaccinating children and adolescents against the effects of nicotine) to prevent smoking uptake, and screening the population for genetic susceptibility to tobacco-related diseases. A framework is described for future research on these policy options. This includes: epidemiological modelling and economic evaluation to specify the conditions under which these strategies are cost-effective; and social psychological research into the effect of providing genetic information on smokers' preparedness to quit, and the general views of the public on tobacco smoking.

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Year:  2007        PMID: 17297074      PMCID: PMC2598463          DOI: 10.1136/tc.2006.016303

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  68 in total

Review 1.  The complexities of predictive genetic testing.

Authors:  J P Evans; C Skrzynia; W Burke
Journal:  BMJ       Date:  2001-04-28

2.  Misconceptions about the use of genetic tests in populations.

Authors:  P Vineis; P Schulte; A J McMichael
Journal:  Lancet       Date:  2001-03-03       Impact factor: 79.321

Review 3.  Population screening in the age of genomic medicine.

Authors:  Muin J Khoury; Linda L McCabe; Edward R B McCabe
Journal:  N Engl J Med       Date:  2003-01-02       Impact factor: 91.245

Review 4.  Cost-effectiveness of pharmacological interventions for smoking cessation: a literature review and a decision analytic analysis.

Authors:  Fujian Song; James Raftery; Paul Aveyard; Chris Hyde; Pelham Barton; Nerys Woolacott
Journal:  Med Decis Making       Date:  2002 Sep-Oct       Impact factor: 2.583

5.  A vision for the future of genomics research.

Authors:  Francis S Collins; Eric D Green; Alan E Guttmacher; Mark S Guyer
Journal:  Nature       Date:  2003-04-14       Impact factor: 49.962

Review 6.  The genetic epidemiology of cancer: interpreting family and twin studies and their implications for molecular genetic approaches.

Authors:  N Risch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-07       Impact factor: 4.254

7.  Familial risk of lung carcinoma in the Icelandic population.

Authors:  Steinn Jonsson; Unnur Thorsteinsdottir; Daniel F Gudbjartsson; Hjortur H Jonsson; Kristleifur Kristjansson; Sigurdur Arnason; Vilmundur Gudnason; Helgi J Isaksson; Jonas Hallgrimsson; Jeffrey R Gulcher; Laufey T Amundadottir; Augustine Kong; Kari Stefansson
Journal:  JAMA       Date:  2004-12-22       Impact factor: 56.272

8.  Apolipoprotein E4 and coronary heart disease in middle-aged men who smoke: a prospective study.

Authors:  S E Humphries; P J Talmud; E Hawe; M Bolla; I N Day; G J Miller
Journal:  Lancet       Date:  2001-07-14       Impact factor: 79.321

9.  Efficacy of varenicline, an alpha4beta2 nicotinic acetylcholine receptor partial agonist, vs placebo or sustained-release bupropion for smoking cessation: a randomized controlled trial.

Authors:  Douglas E Jorenby; J Taylor Hays; Nancy A Rigotti; Salomon Azoulay; Eric J Watsky; Kathryn E Williams; Clare B Billing; Jason Gong; Karen R Reeves
Journal:  JAMA       Date:  2006-07-05       Impact factor: 56.272

10.  The impact of learning of a genetic predisposition to nicotine dependence: an analogue study.

Authors:  A J Wright; J Weinman; T M Marteau
Journal:  Tob Control       Date:  2003-06       Impact factor: 7.552

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  4 in total

1.  Personalized medicine and tobacco-related health disparities: is there a role for genetics?

Authors:  Chris Carlsten; Abigail Halperin; Julia Crouch; Wylie Burke
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

2.  Ethical Implications in Vaccine Pharmacotherapy for Treatment and Prevention of Drug of Abuse Dependence.

Authors:  Anna Carfora; Paola Cassandro; Alessandro Feola; Francesco La Sala; Raffaella Petrella; Renata Borriello
Journal:  J Bioeth Inq       Date:  2018-01-19       Impact factor: 1.352

3.  Unwarranted optimism in media portrayals of genetic research on addiction overshadows critical ethical and social concerns.

Authors:  Jenny E Ostergren; Molly J Dingel; Jennifer B McCormick; Barbara A Koenig
Journal:  J Health Commun       Date:  2015-03-25

Review 4.  Genetics of nicotine dependence and pharmacotherapy.

Authors:  Christina N Lessov-Schlaggar; Michele L Pergadia; Taline V Khroyan; Gary E Swan
Journal:  Biochem Pharmacol       Date:  2007-08-19       Impact factor: 5.858

  4 in total

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