Literature DB >> 32602170

Genetic Variant in CHRNA5 and Response to Varenicline and Combination Nicotine Replacement in a Randomized Placebo-Controlled Trial.

Li-Shiun Chen1,2, Timothy B Baker3, J Philip Miller1, Michael Bray1, Nina Smock1, Jingling Chen1, Faith Stoneking1, Robert C Culverhouse4,5, Nancy L Saccone6, Christopher I Amos7,8, Robert M Carney1, Douglas E Jorenby3, Laura J Bierut1,2.   

Abstract

It is unclear if genetic variants affect smoking cessation treatment response. This study tested whether variants in the cholinergic receptor nicotinic alpha 5 subunit (CHRNA5) predict response to smoking cessation medication by directly comparing the two most effective smoking cessation pharmacotherapies. In this genotype-stratified randomized, double-blind, placebo-controlled clinical trial (May 2015-August 2019 in St Louis, Missouri), smokers were randomized by genotype in blocks of six (1:1:1 ratio) to three conditions: 12 weeks of placebo (n = 273), combination nicotine patch and lozenge (combination nicotine replacement therapy, cNRT, n = 275), or varenicline (n = 274). All participants received counseling and were followed for 12 months. The primary end point was biochemically verified 7-day point prevalence abstinence at the end of treatment (EOT, week 12). Trial registration and eligibility criteria are on clinicaltrials.gov (https://clinicaltrials.gov/) (NCT02351167). We conducted the genetic analyses separately for 516 European ancestry (EA) smokers and 306 non-EA smokers (including 270 African American smokers). In African American smokers, there was a genotype-by-treatment interaction for EOT abstinence (χ2  = 10.7, degrees of freedom = 2. P = 0.0049): specifically, cNRT was more effective in smokers with rs16969968 GG genotype than was placebo, while varenicline was more effective in smokers of GA/AA genotypes. In EA ancestry smokers, there was no significant genotype-by-treatment interaction. In the whole sample, although both were effective at EOT, only varenicline, and not cNRT, was significantly effective relative to placebo at 6-month follow-up. Importantly, this study suggests that genetic information can further enhance smoking cessation treatment effectiveness.
© 2020 The Authors Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2020        PMID: 32602170      PMCID: PMC7993015          DOI: 10.1002/cpt.1971

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  31 in total

1.  Interplay of genetic risk factors (CHRNA5-CHRNA3-CHRNB4) and cessation treatments in smoking cessation success.

Authors:  Li-Shiun Chen; Timothy B Baker; Megan E Piper; Naomi Breslau; Dale S Cannon; Kimberly F Doheny; Stephanie M Gogarten; Eric O Johnson; Nancy L Saccone; Jen C Wang; Robert B Weiss; Alison M Goate; Laura Jean Bierut
Journal:  Am J Psychiatry       Date:  2012-07       Impact factor: 18.112

2.  Variants in nicotinic receptors and risk for nicotine dependence.

Authors:  Laura Jean Bierut; Jerry A Stitzel; Jen C Wang; Anthony L Hinrichs; Richard A Grucza; Xiaoling Xuei; Nancy L Saccone; Scott F Saccone; Sarah Bertelsen; Louis Fox; William J Horton; Naomi Breslau; John Budde; C Robert Cloninger; Danielle M Dick; Tatiana Foroud; Dorothy Hatsukami; Victor Hesselbrock; Eric O Johnson; John Kramer; Samuel Kuperman; Pamela A F Madden; Kevin Mayo; John Nurnberger; Ovide Pomerleau; Bernice Porjesz; Oliver Reyes; Marc Schuckit; Gary Swan; Jay A Tischfield; Howard J Edenberg; John P Rice; Alison M Goate
Journal:  Am J Psychiatry       Date:  2008-06-02       Impact factor: 18.112

3.  Markers in the 15q24 nicotinic receptor subunit gene cluster (CHRNA5-A3-B4) predict severity of nicotine addiction and response to smoking cessation therapy.

Authors:  Jane E Sarginson; Joel D Killen; Laura C Lazzeroni; Stephen P Fortmann; Heather S Ryan; Alan F Schatzberg; Greer M Murphy
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2011-01-25       Impact factor: 3.568

4.  Smoking Cessation Pharmacotherapy Based on Genetically-Informed Biomarkers: What is the Evidence?

Authors:  Orestis A Panagiotou; Ewoud Schuit; Marcus R Munafò; Derrick A Bennett; Andrew W Bergen; Sean P David
Journal:  Nicotine Tob Res       Date:  2019-08-19       Impact factor: 4.244

5.  Nicotinic acetylcholine receptor variation and response to smoking cessation therapies.

Authors:  Andrew W Bergen; Harold S Javitz; Ruth Krasnow; Denise Nishita; Martha Michel; David V Conti; Jinghua Liu; Won Lee; Christopher K Edlund; Sharon Hall; Pui-Yan Kwok; Neal L Benowitz; Timothy B Baker; Rachel F Tyndale; Caryn Lerman; Gary E Swan
Journal:  Pharmacogenet Genomics       Date:  2013-02       Impact factor: 2.089

6.  Effects of Nicotine Patch vs Varenicline vs Combination Nicotine Replacement Therapy on Smoking Cessation at 26 Weeks: A Randomized Clinical Trial.

Authors:  Timothy B Baker; Megan E Piper; James H Stein; Stevens S Smith; Daniel M Bolt; David L Fraser; Michael C Fiore
Journal:  JAMA       Date:  2016-01-26       Impact factor: 56.272

7.  Cholinergic receptor nicotinic alpha 5 subunit polymorphisms are associated with smoking cessation success in women.

Authors:  Paulo Roberto Xavier Tomaz; Juliana Rocha Santos; Jaqueline Scholz; Tânia Ogawa Abe; Patrícia Viviane Gaya; André Brooking Negrão; José Eduardo Krieger; Alexandre Costa Pereira; Paulo Caleb Júnior Lima Santos
Journal:  BMC Med Genet       Date:  2018-04-05       Impact factor: 2.103

8.  Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial.

Authors:  Robert M Anthenelli; Neal L Benowitz; Robert West; Lisa St Aubin; Thomas McRae; David Lawrence; John Ascher; Cristina Russ; Alok Krishen; A Eden Evins
Journal:  Lancet       Date:  2016-04-22       Impact factor: 79.321

9.  Association of CHRNA5-A3-B4 SNP rs2036527 with smoking cessation therapy response in African-American smokers.

Authors:  A Z X Zhu; Q Zhou; L S Cox; S P David; J S Ahluwalia; N L Benowitz; R F Tyndale
Journal:  Clin Pharmacol Ther       Date:  2014-04-14       Impact factor: 6.875

10.  Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.

Authors:  Paige Maas; Myrto Barrdahl; Amit D Joshi; Paul L Auer; Mia M Gaudet; Roger L Milne; Fredrick R Schumacher; William F Anderson; David Check; Subham Chattopadhyay; Laura Baglietto; Christine D Berg; Stephen J Chanock; David G Cox; Jonine D Figueroa; Mitchell H Gail; Barry I Graubard; Christopher A Haiman; Susan E Hankinson; Robert N Hoover; Claudine Isaacs; Laurence N Kolonel; Loic Le Marchand; I-Min Lee; Sara Lindström; Kim Overvad; Isabelle Romieu; Maria-Jose Sanchez; Melissa C Southey; Daniel O Stram; Rosario Tumino; Tyler J VanderWeele; Walter C Willett; Shumin Zhang; Julie E Buring; Federico Canzian; Susan M Gapstur; Brian E Henderson; David J Hunter; Graham G Giles; Ross L Prentice; Regina G Ziegler; Peter Kraft; Montse Garcia-Closas; Nilanjan Chatterjee
Journal:  JAMA Oncol       Date:  2016-10-01       Impact factor: 31.777

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  4 in total

1.  The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials.

Authors:  Michael Bray; Yoonhoo Chang; Timothy B Baker; Douglas Jorenby; Robert M Carney; Louis Fox; Giang Pham; Faith Stoneking; Nina Smock; Christopher I Amos; Laura Bierut; Li-Shiun Chen
Journal:  Nicotine Tob Res       Date:  2022-10-17       Impact factor: 5.825

2.  Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example.

Authors:  Alexander S Hatoum; Frank R Wendt; Marco Galimberti; Renato Polimanti; Benjamin Neale; Henry R Kranzler; Joel Gelernter; Howard J Edenberg; Arpana Agrawal
Journal:  Drug Alcohol Depend       Date:  2021-10-09       Impact factor: 4.852

3.  Racial disparities in intensity of smoke exposure and nicotine intake among low-dependence smokers.

Authors:  Jolie T K Ho; Rachel F Tyndale; Timothy B Baker; Christopher I Amos; Ami Chiu; Nina Smock; Jingling Chen; Laura J Bierut; Li-Shiun Chen
Journal:  Drug Alcohol Depend       Date:  2021-02-18       Impact factor: 4.492

Review 4.  Molecular genetics of cocaine use disorders in humans.

Authors:  Noèlia Fernàndez-Castillo; Judit Cabana-Domínguez; Roser Corominas; Bru Cormand
Journal:  Mol Psychiatry       Date:  2021-08-27       Impact factor: 15.992

  4 in total

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