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Genome-wide association for smoking cessation success: Participants in the Patch in Practice trial of nicotine replacement

George R. Uhl, Tomas Drgon, Catherine Johnson, Donna Walther, Paul Aveyard, Michael Murphy, Elaine C. Johnstone, Marcus R. Munafò

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Abstract

Aims: To confirm and extend to primary care settings prior genome-wide association results that distinguish smokers who successfully quit from individuals who were not able to quit smoking in clinical trials. Materials & methods: Affymetrix® 6.0 Arrays were used to study DNA from successful quitters and matched individuals who did not quit from the Patch in Practice study of 925 smokers in 26 UK general practices who were provided with 15 mg/16 h nicotine-replacement therapy and varying degrees of behavioral support. Results: Only a few SNPs provided results near 'genome-wide levels of significance. Nominally significant (p < 0.01) SNP results identify the same chromosomal regions identified by prior genome-wide association studies to a much greater extent than expected by chance. Conclusion: Ability to change smoking behavior in a general practice setting appears to share substantial underlying genetics with the ability to change this behavior in clinical trials, though the modest sample sizes available for these studies provides some caution to these conclusions.

Original languageEnglish
Pages (from-to)357-367
Number of pages11
JournalPharmacogenomics
Volume11
Issue number3
Early online date17 Mar 2010
DOIs
Publication statusPublished - 31 Mar 2010

Acknowledgements

We are grateful for the thoughtful advice and discussion from Jed Rose, Dean Hamer, Caryn Lerman, Ray Niaura and Sean David. We would also like to thank all participants in the Patch in Practice trial as well as all clinical and laboratory staff who worked on the trial. We would like to acknowledge excellent technical assistance by Dr Qing Rong Liu.

Keywords

  • DNA microarray
  • Genetic susceptibility
  • Nicotine dependence
  • Nicotine replacement
  • Smoking cessation

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Pharmacology

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