Literature DB >> 28032407

CYP2A6 metabolism in the development of smoking behaviors in young adults.

Emily Olfson1, Joseph Bloom2,3, Sarah Bertelsen4, John P Budde2, Naomi Breslau5, Andrew Brooks6, Robert Culverhouse7, Grace Chan8, Li-Shiun Chen2, David Chorlian9, Danielle M Dick10, Howard J Edenberg11, Sarah Hartz2, Dorothy Hatsukami12, Victor M Hesselbrock8, Eric O Johnson13, John R Kramer14, Samuel Kuperman14, Jacquelyn L Meyers9, John Nurnberger15, Bernice Porjesz9, Nancy L Saccone16, Marc A Schuckit17, Jerry Stitzel18, Jay A Tischfield6, John P Rice2, Alison Goate4, Laura J Bierut2.   

Abstract

Cytochrome P450 2A6 (CYP2A6) encodes the enzyme responsible for the majority of nicotine metabolism. Previous studies support that slow metabolizers smoke fewer cigarettes once nicotine dependent but provide conflicting results on the role of CYP2A6 in the development of dependence. By focusing on the critical period of young adulthood, this study examines the relationship of CYP2A6 variation and smoking milestones. A total of 1209 European American young adults enrolled in the Collaborative Study on the Genetics of Alcoholism were genotyped for CYP2A6 variants to calculate a previously well-validated metric that estimates nicotine metabolism. This metric was not associated with the transition from never smoking to smoking initiation nor with the transition from initiation to daily smoking (P > 0.4). But among young adults who had become daily smokers (n = 506), decreased metabolism was associated with increased risk of nicotine dependence (P = 0.03) (defined as Fagerström Test for Nicotine Dependence score ≥4). This finding was replicated in the Collaborative Genetic Study of Nicotine Dependence with 335 young adult daily smokers (P = 0.02). Secondary meta-analysis indicated that slow metabolizers had a 53 percent increased odds (OR = 1.53, 95 percent CI 1.11-2.11, P = 0.009) of developing nicotine dependence compared with normal metabolizers. Furthermore, secondary analyses examining four-level response of time to first cigarette after waking (>60, 31-60, 6-30, ≤5 minutes) demonstrated a robust effect of the metabolism metric in Collaborative Study on the Genetics of Alcoholism (P = 0.03) and Collaborative Genetic Study of Nicotine Dependence (P = 0.004), illustrating the important role of this measure of dependence. These findings highlight the complex role of CYP2A6 variation across different developmental stages of smoking behaviors.
© 2016 Society for the Study of Addiction.

Entities:  

Keywords:  CYP2A6; genetics; nicotine dependence; smoking; young adults

Mesh:

Substances:

Year:  2016        PMID: 28032407      PMCID: PMC5491369          DOI: 10.1111/adb.12477

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  43 in total

1.  Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey.

Authors:  A Hyland; R Borland; Q Li; H-H Yong; A McNeill; G T Fong; R J O'Connor; K M Cummings
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

2.  Nicotine metabolism and addiction among adolescent smokers.

Authors:  Mark L Rubinstein; Saul Shiffman; Anna-Barbara Moscicki; Michelle A Rait; Saunak Sen; Neal L Benowitz
Journal:  Addiction       Date:  2012-10-05       Impact factor: 6.526

3.  CYP2A6, MAOA, DBH, DRD4, and 5HT2A genotypes, smoking behaviour and cotinine levels in 1518 UK adolescents.

Authors:  Shuwen Huang; Derek G Cook; Lesley J Hinks; Xiao-He Chen; Shu Ye; Julie A Gilg; Martin J Jarvis; Peter H Whincup; Ian N M Day
Journal:  Pharmacogenet Genomics       Date:  2005-12       Impact factor: 2.089

4.  Use of a predictive model derived from in vivo endophenotype measurements to demonstrate associations with a complex locus, CYP2A6.

Authors:  A Joseph Bloom; Oscar Harari; Maribel Martinez; Pamela A F Madden; Nicholas G Martin; Grant W Montgomery; John P Rice; Sharon E Murphy; Laura J Bierut; Alison Goate
Journal:  Hum Mol Genet       Date:  2012-03-26       Impact factor: 6.150

5.  The contribution of common CYP2A6 alleles to variation in nicotine metabolism among European-Americans.

Authors:  Joseph Bloom; Anthony L Hinrichs; Jen C Wang; Linda B von Weymarn; Evan D Kharasch; Laura J Bierut; Alison Goate; Sharon E Murphy
Journal:  Pharmacogenet Genomics       Date:  2011-07       Impact factor: 2.089

6.  Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

Authors: 
Journal:  Nat Genet       Date:  2010-04-25       Impact factor: 38.330

7.  Time to first cigarette in the morning as an index of ability to quit smoking: implications for nicotine dependence.

Authors:  Timothy B Baker; Megan E Piper; Danielle E McCarthy; Daniel M Bolt; Stevens S Smith; Su-Young Kim; Suzanne Colby; David Conti; Gary A Giovino; Dorothy Hatsukami; Andrew Hyland; Suchitra Krishnan-Sarin; Raymond Niaura; Kenneth A Perkins; Benjamin A Toll
Journal:  Nicotine Tob Res       Date:  2007-11       Impact factor: 4.244

8.  Time to smoke first morning cigarette and lung cancer in a case-control study.

Authors:  Fangyi Gu; Sholom Wacholder; Stephanie Kovalchik; Orestis A Panagiotou; Carolyn Reyes-Guzman; Neal D Freedman; Sara De Matteis; Dario Consonni; Pier Alberto Bertazzi; Andrew W Bergen; Maria Teresa Landi; Neil E Caporaso
Journal:  J Natl Cancer Inst       Date:  2014-06-19       Impact factor: 13.506

9.  Variants located upstream of CHRNB4 on chromosome 15q25.1 are associated with age at onset of daily smoking and habitual smoking.

Authors:  Manav Kapoor; Jen-Chyong Wang; Sarah Bertelsen; Kathy Bucholz; John P Budde; Anthony Hinrichs; Arpana Agrawal; Andrew Brooks; David Chorlian; Danielle Dick; Victor Hesselbrock; Tatiana Foroud; John Kramer; Samuel Kuperman; Niklas Manz; John Nurnberger; Bernice Porjesz; John Rice; Jay Tischfield; Xiaoling Xuei; Marc Schuckit; Howard J Edenberg; Laura J Bierut; Alison M Goate
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

10.  Time to First Morning Cigarette and Risk of Chronic Obstructive Pulmonary Disease: Smokers in the PLCO Cancer Screening Trial.

Authors:  Kristin A Guertin; Fangyi Gu; Sholom Wacholder; Neal D Freedman; Orestis A Panagiotou; Carolyn Reyes-Guzman; Neil E Caporaso
Journal:  PLoS One       Date:  2015-05-18       Impact factor: 3.240

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  2 in total

1.  Evaluation of a weighted genetic risk score for the prediction of biomarkers of CYP2A6 activity.

Authors:  Ahmed El-Boraie; Taraneh Taghavi; Meghan J Chenoweth; Koya Fukunaga; Taisei Mushiroda; Michiaki Kubo; Caryn Lerman; Nicole L Nollen; Neal L Benowitz; Rachel F Tyndale
Journal:  Addict Biol       Date:  2019-02-27       Impact factor: 4.280

Review 2.  Cytochrome P450 2A6 whole-gene deletion (CYP2A6*4) polymorphism reduces risk of lung cancer: A meta-analysis.

Authors:  Fadzrul H Johani; Mohd S A Majid; Muhammad H Azme; Azmawati M Nawi
Journal:  Tob Induc Dis       Date:  2020-06-02       Impact factor: 2.600

  2 in total

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