Browsing by Subject "Nicotine dependence"

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    CYP2A6 metabolism in the development of smoking behaviors in young adults
    (Wiley, 2018-01) Olfson, Emily; Bloom, Joseph; Bertelsen, Sarah; Budde, John P.; Breslau, Naomi; Brooks, Andrew; Culverhouse, Robert; Chan, Grace; Chen, Li-Shiun; Chorlian, David; Dick, Danielle M.; Edenberg, Howard J.; Hartz, Sarah; Hatsukami, Dorothy; Hesselbrock, Victor M.; Johnson, Eric O.; Kramer, John R.; Kuperman, Samuel; Meyers, Jacquelyn L.; Nurnberger, John; Porjesz, Bernice; Saccone, Nancy L.; Schuckit, Marc A.; Stitzel, Jerry; Tischfield, Jay A.; Rice, John P.; Goate, Alison; Bierut, Laura J.; Biochemistry and Molecular Biology, School of Medicine
    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.
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    Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits
    (medRxiv, 2025-02-03) Johnson, Emma C.; Lai, Dongbing; Miller, Alex P.; Hatoum, Alexander S.; Deak, Joseph D.; Balbona, Jared V.; Baranger, David A. A.; Galimberti, Marco; Sanichwankul, Kittipong; Thorgeirsson, Thorgeir; McColbert, Sarah; Sanchez-Roige, Sandra; Adhikari, Keyrun; Docherty, Anna; Degenhardt, Louisa; Edwards, Tobias; Fox, Louis; Giannelis, Alexandros; Jeffries, Paul; Korhonen, Tellervo; Morrison, Claire; Nunez, Yaira Z.; Palviainen, Teemu; Su, Mei-Hsin; Romero Villela, Pamela N.; Wetherill, Leah; Willoughby, Emily A.; Zellers, Stephanie; Bierut, Laura; Buchwald, Jadwiga; Copeland, William; Corley, Robin; Friedman, Naomi P.; Foroud, Tatiana M.; Gillespie, Nathan A.; Gizer, Ian R.; Heath, Andrew C.; Hickie, Ian B.; Kaprio, Jaakko A.; Keller, Matthew C.; Lee, James L.; Lind, Penelope A.; Madden, Pamela A.; Maes, Hermine H. M.; Martin, Nicholas G.; McGue, Matt; Medland, Sarah E.; Nelson, Elliot C.; Pearson, John V.; Porjesz, Bernice; Stallings, Michael; Vrieze, Scott; Wilhelmsen, Kirk C.; Walters, Raymond K.; Polimanti, Renato; Malison, Robert T.; Zhou, Hang; Stefansson, Kari; Potenza, Marc N.; Mutirangura, Apiwat; Shotelersuk, Vorasuk; Kalayasiri, Rasmon; Edenberg, Howard J.; Gelernter, Joel; Agrawal, Arpana; Medical and Molecular Genetics, School of Medicine
    Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement. We conducted a genome-wide association study of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry, 10,231 of African ancestry, 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes. We replicated the well-known association at the CHRNA5 locus (lead SNP: rs147144681, p =1.27E-11 in European ancestry; lead SNP = rs2036527, p = 6.49e-13 in cross-ancestry analysis). DSM-NicDep showed strong positive genetic correlations with cannabis use disorder, opioid use disorder, problematic alcohol use, lung cancer, material deprivation, and several psychiatric disorders, and negative correlations with respiratory function and educational attainment. A polygenic score of DSM-NicDep predicted DSM-5 tobacco use disorder and 6 of 11 individual diagnostic criteria, but none of the Fagerström Test for Nicotine Dependence (FTND) items, in the independent NESARC-III sample. In genomic structural equation models, DSM-NicDep loaded more strongly on a previously identified factor of general addiction liability than did a "problematic tobacco use" factor (a combination of cigarettes per day and nicotine dependence defined by the FTND). Finally, DSM-NicDep was strongly genetically correlated with a GWAS of tobacco use disorder as defined in electronic health records, suggesting that combining the wide availability of diagnostic EHR data with nuanced criterion-level analyses of DSM tobacco use disorder may produce new insights into the genetics of this disorder.