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Venkatesh SK, Stangl BL, Yan J, Quijano Cardé NA, Stein EA, Diazgranados N, Schwandt ML, Sun H, Momenan R, Goldman D, De Biasi M, Ramchandani VA. Smoking-Related Increases in Alcohol Outcomes and Preliminary Evidence for the Protective Effect of a Functional Nicotine Receptor Gene (CHRNA5) Variant on Alcohol Consumption in Individuals Without Alcohol Use Disorder. Int J Neuropsychopharmacol 2024; 27:pyae035. [PMID: 39208422 PMCID: PMC11450629 DOI: 10.1093/ijnp/pyae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Alcohol and nicotine interact with the nicotinic acetylcholine receptor system to alter reward-related responses, thereby contributing to the co-use and misuse of these drugs. A missense polymorphism rs16969968 (G>A) in the CHRNA5 gene has shown a strong association with nicotine-related phenotypes. However, less is known about the impact of this variant on alcohol-related phenotypes. METHODS We assessed the main and interactive effect of smoking and rs16969968 polymorphism on alcohol consumption using the Alcohol Use Disorders Identification Test (AUDIT), Timeline Follow Back (TLFB), and Lifetime Drinking History (LDH) in 980 healthy adults without alcohol use disorder. We further examined the effect of the rs16969968 polymorphism on acute alcohol consumption using a free-access i.v. alcohol self-administration (IV-ASA) human laboratory paradigm in a subset of 153 nonsmoking participants. Subjective alcohol responses, alcohol sensitivity, and expectancy measures were compared between genotype groups (GG; AA/AG). RESULTS We observed a significant association of smoking with AUDIT, TLFB, and LDH measures across genotype groups, with smokers showing higher scores compared with nonsmokers. Additionally, we found an association between genotype and TLFB-total drinks in the IV-ASA subset, with the GG group showing higher scores than AA/AG group. Relatedly, the alcohol negative expectancy score was significantly lower in the GG group than the AA/AG group. CONCLUSIONS Our findings underscore the association of smoking with alcohol measures. We found preliminary evidence for the protective effect of the functional CHRNA5 polymorphism on alcohol consumption and its association with increased negative alcohol expectancies, which highlights the substantial heterogeneity in alcohol responses.
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Affiliation(s)
- Shyamala K Venkatesh
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Bethany L Stangl
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Jia Yan
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Natalia A Quijano Cardé
- Pharmacology Graduate Group, Biomedical Graduate Studies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elliot A Stein
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Nancy Diazgranados
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Melanie L Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Hui Sun
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Reza Momenan
- Clinical Neuroimaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - David Goldman
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Mariella De Biasi
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vijay A Ramchandani
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
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Calhoun BH, Walukevich-Dienst K, Graupensperger S, Patrick ME, Lee CM. Morning cannabis use in young adults: Associations with overall levels of use, negative consequences, and cannabis use disorder symptoms across 2.5 years. Drug Alcohol Depend 2024; 256:111114. [PMID: 38325066 PMCID: PMC10919896 DOI: 10.1016/j.drugalcdep.2024.111114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 01/02/2024] [Accepted: 01/25/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Emerging research suggests morning cannabis use may be associated with using more cannabis and experiencing more cannabis-related consequences. This paper examined whether months when young adults reported morning cannabis use (use between 6:00AM and 12:00PM) were associated with cannabis use frequency, negative cannabis-related consequences, and changes in cannabis use disorder (CUD) symptoms. METHODS Participants were 778 young adults (Mage=21.11 years, 58.5% female) enrolled in a longitudinal study on substance use and social role transitions. Eligible participants were 18-23 years old at screening and reported past-year alcohol use. Participants completed a baseline survey, 24 consecutive monthly surveys, and a follow-up survey 30 months after baseline. Aims were tested using multilevel models and multiple regression. RESULTS Analyses were limited to cannabis use months (N=4719; 28.9% of sampled months) and participants who reported cannabis use at least once (N=542; 69.7% of all participants). Morning use was reported in 12.3% of cannabis use months and at least once by 23.6% of participants who reported using cannabis. Relative to non-morning use months, morning use months were associated with greater cannabis use frequency and more negative consequences. However, the association between morning use and negative consequences was not statistically significant after controlling for cannabis use frequency. The percentage of cannabis use months with morning use was positively associated with increased CUD symptoms at the 30-month follow-up, relative to baseline. CONCLUSIONS Morning cannabis use may be a useful marker of high-risk cannabis use and may contribute to the maintenance and worsening of CUD over time.
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Affiliation(s)
- Brian H Calhoun
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA 98195-7238, USA.
| | - Katherine Walukevich-Dienst
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA 98195-7238, USA
| | - Scott Graupensperger
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA 98195-7238, USA
| | - Megan E Patrick
- Institute for Social Research, University of Michigan, P.O. Box 1248, 426 Thompson St, Ann Arbor, MI 48106-1248, USA
| | - Christine M Lee
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA 98195-7238, USA
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3
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Chen Y, Zhao M, Ji K, Li J, Wang S, Lu L, Chen Z, Zeng J. Association of nicotine dependence and gut microbiota: a bidirectional two-sample Mendelian randomization study. Front Immunol 2023; 14:1244272. [PMID: 38022531 PMCID: PMC10664251 DOI: 10.3389/fimmu.2023.1244272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Nicotine dependence is a key factor influencing the diversity of gut microbiota, and targeting gut microbiota may become a new approach for the prevention and treatment of nicotine dependence. However, the causal relationship between the two is still unclear. This study aims to investigate the causal relationship between nicotine dependence and gut microbiota. Methods A two-sample bidirectional Mendelian randomization (MR) study was conducted using the largest existing gut microbiota and nicotine dependence genome-wide association studies (GWAS). Causal relationships between genetically predicted nicotine dependence and gut microbiota abundance were examined using inverse variance weighted, MR-Egger, weighted median, simple mode, weighted mode, and MR-PRESSO approaches. Cochrane's Q test, MR-Egger intercept test, and leave-one-out analysis were performed as sensitivity analyses to assess the robustness of the results. Multivariable Mendelian randomization analysis was also conducted to eliminate the interference of smoking-related phenotypes. Reverse Mendelian randomization analysis was then performed to determine the causal relationship between genetically predicted gut microbiota abundance and nicotine dependence. Results Genetically predicted nicotine dependence had a causal effect on Christensenellaceae (β: -0.52, 95% CI: -0.934-0.106, P = 0.014). The Eubacterium xylanophilum group (OR: 1.106, 95% CI: 1.004-1.218), Lachnoclostridium (OR: 1.118, 95% CI: 1.001-1.249) and Holdemania (OR: 1.08, 95% CI: 1.001-1.167) were risk factors for nicotine dependence. Peptostreptococcaceae (OR: 0.905, 95% CI: 0.837-0.977), Desulfovibrio (OR: 0.014, 95% CI: 0.819-0.977), Dorea (OR: 0.841, 95% CI. 0.731-0.968), Faecalibacterium (OR: 0.831, 95% CI: 0.735-0.939) and Sutterella (OR: 0.838, 95% CI: 0.739-0.951) were protective factor for nicotine dependence. The sensitivity analysis showed consistent results. Conclusion The Mendelian randomization study confirmed the causal link between genetically predicted risk of nicotine dependence and genetically predicted abundance of gut microbiota. Gut microbiota may serve as a biomarker and offer insights for addressing nicotine dependence.
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Affiliation(s)
- Yuexuan Chen
- The First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mengjiao Zhao
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kaisong Ji
- The First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingjing Li
- Department of Acupuncture, Baoan District Hospital of Traditional Chinese Medicine, Shenzhen, China
| | - Shuxin Wang
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Liming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhenhu Chen
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingchun Zeng
- Department of Acupuncture, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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John U, Rumpf HJÜ, Hanke M, Meyer C. Alcohol and Nicotine Dependence and Time to Death in a General Adult Population: A Mortality Cohort Study. Eur Addict Res 2023; 29:394-405. [PMID: 37883933 DOI: 10.1159/000534233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/18/2023] [Indexed: 10/28/2023]
Abstract
INTRODUCTION Findings from general population studies are lacking in regard to the co-occurrence of alcohol and nicotine dependence in relation to later mortality. The aim of this study was to analyze potential interactions of risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and time until the first cigarette is smoked in the morning after awakening in the prediction of mortality. METHODS This study analyzed a random sample of the general population in Northern Germany, which comprised adults aged 18-64 years. Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning after awakening were assessed for the period of 1996-1997 by applying the Munich-Composite International Diagnostic Interview. Data about all-cause mortality were gathered for the period of 2017-2018 and analyzed using Cox proportional hazards models. RESULTS Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning were associated with each other and predicted the time to death. Among participants with a former alcohol dependence, 29.59% had a current nicotine dependence. Participants who had ever been dependent on alcohol at some point in their life before and currently smoked their first cigarette in the morning within 30 min or less after awakening had a hazard ratio of 5.28 (95% confidence interval: 3.33-8.38) for early death compared to low-risk alcohol consumers who had never smoked. CONCLUSION Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning may have a cumulative impact on time to death. The findings suggest that it could be beneficial to provide support for quitting both risky alcohol drinking and tobacco smoking among nondependent individuals in addition to supporting remission from dependence.
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Affiliation(s)
- Ulrich John
- Prevention Research and Social Medicine, Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Hans-J Ürgen Rumpf
- Department of Psychiatry and Psychotherapy, Research Group S:TEP, University of Lübeck, Lübeck, Germany
| | - Monika Hanke
- Prevention Research and Social Medicine, Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Meyer
- Prevention Research and Social Medicine, Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
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Calhoun BH, Graupensperger S, Fairlie AM, Walukevich-Dienst K, Patrick ME, Lee CM. "Wake-and-bake" cannabis use: Predictors and cannabis-related outcomes of use shortly after waking. Drug Alcohol Depend 2023; 248:109937. [PMID: 37236059 PMCID: PMC10330799 DOI: 10.1016/j.drugalcdep.2023.109937] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 05/12/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Given recent historical increases in young adults frequent cannabis use and changes in cannabis policies throughout the United States, there is a need to examine high-risk patterns of use. This paper examined predictors and cannabis-related outcomes of "wake-and-bake" cannabis use, operationalized as use within 30min of waking. METHODS Participants were 409 young adults (Mage=21.61 years, 50.8% female) enrolled in a longitudinal study on simultaneous alcohol and cannabis use (i.e., using alcohol and cannabis at the same time such that their effects overlap). Eligibility criteria included reporting alcohol use 3+ times and simultaneous alcohol and cannabis use 1+ times in the past month. Participants completed twice-daily surveys for six 14-day bursts across two calendar years. Aims were tested using multilevel models. RESULTS Analyses were limited to cannabis use days (9406 days; 33.3% of all sampled days), and thereby to participants who reported using cannabis (384 participants; 93.9% of the sample). Wake-and-bake use was reported on 11.2% of cannabis use days and at least once by 35.4% of participants who used cannabis. On wake-and-bake use days, participants were high for more hours and had greater odds of driving under the influence of cannabis, but did not experience more negative consequences, relative to non-wake-and-bake cannabis use days. Participants who reported more cannabis use disorder symptoms and those reporting higher average social anxiety motives for cannabis use reported more frequent wake-and-bake use. CONCLUSIONS Wake-and-bake cannabis use may be a useful marker of high-risk cannabis use, including driving under the influence of cannabis.
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Affiliation(s)
- Brian H Calhoun
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA, 98195-7238, USA.
| | - Scott Graupensperger
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA, 98195-7238, USA
| | - Anne M Fairlie
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA, 98195-7238, USA
| | - Katherine Walukevich-Dienst
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA, 98195-7238, USA
| | - Megan E Patrick
- Institute for Social Research, University of Michigan, P.O. Box 1248, 426 Thompson St, Ann Arbor, MI, 48106-1248, USA
| | - Christine M Lee
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 357238, Seattle, WA, 98195-7238, USA
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Weinberger AH, Dierker L, Zhu J, Levin J, Goodwin RD. Cigarette dependence is more prevalent and increasing among US adolescents and adults who use cannabis, 2002-2019. Tob Control 2021:tobaccocontrol-2021-056723. [PMID: 34815363 DOI: 10.1136/tobaccocontrol-2021-056723] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 10/27/2021] [Indexed: 01/16/2023]
Abstract
SIGNIFICANCE Cannabis use is increasing among cigarette smokers. If cannabis use is associated with cigarette dependence, a barrier to smoking cessation, this could have public health implications for tobacco control. The current study estimated the prevalence of cigarette dependence among US individuals who smoke cigarettes by cannabis use status, and investigated trends in cigarette dependence from 2002 to 2019 among cigarette smokers by cannabis use status and cigarette consumption (ie, cigarettes per day, CPD). METHODS Data were drawn from the 2002-2019 annual National Survey on Drug Use and Health and included US individuals aged 12+ years who used cigarettes at least once in the past month (n=231 572). Logistic regression was used to estimate the prevalence of cigarette dependence, measured as time to first cigarette <30 min, by past-month cannabis use (no use, non-daily use, daily use), and to estimate trends in cigarette dependence from 2002 to 2019 overall and stratified by cannabis use and smoking level (light, 1-5 CPD; moderate, 6-15 CPD; heavy, 16+ CPD). RESULTS Across all levels of cigarette use, cigarette dependence was significantly more common among individuals with daily cannabis use compared with those with non-daily or no cannabis use. From 2002 to 2019, cigarette dependence increased among cigarette smokers with non-daily cannabis use, and among light and moderate cigarette smokers with no cannabis use. CONCLUSIONS US individuals who use both cigarettes and cannabis report a higher prevalence of cigarette dependence relative to individuals who use cigarettes and do not use cannabis at virtually all levels of cigarette consumption. Further, cigarette dependence is increasing in the USA both among those who use and do not use cannabis. Given the increase in cannabis use among those using cigarettes, efforts to elucidate the nature of the association between cannabis and cigarette dependence are needed.
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Affiliation(s)
- Andrea H Weinberger
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA.,Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Lisa Dierker
- Psychology, Wesleyan University, Middletown, Connecticut, USA
| | - Jiaqi Zhu
- Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, New York, USA
| | - Jacob Levin
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA
| | - Renee D Goodwin
- Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, New York, USA .,Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
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Abstract
Epigenetics has enriched human disease studies by adding new interpretations to disease features that cannot be explained by genetic and environmental factors. However, identifying causal mechanisms of epigenetic origin has been challenging. New opportunities have risen from recent findings in intra-individual and cyclical epigenetic variation, which includes circadian epigenetic oscillations. Cytosine modifications display deterministic temporal rhythms, which may drive ageing and complex disease. Temporality in the epigenome, or the 'chrono' dimension, may help the integration of epigenetic, environmental and genetic disease studies, and reconcile several disparities stemming from the arbitrarily delimited research fields. The ultimate goal of chrono-epigenetics is to predict disease risk, age of onset and disease dynamics from within individual-specific temporal dynamics of epigenomes.
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Branstetter SA, Krebs N, Muscat JE. Household Smoking Restrictions, Time to First Cigarette and Tobacco Dependence. J Smok Cessat 2021; 2021:5517773. [PMID: 34306221 PMCID: PMC8279187 DOI: 10.1155/2021/5517773] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Environmental factors, such as household smoking restrictions (HSR), may impact a range of smoking-related outcomes. The current study examined the effects of various levels of HSR on smoking behaviors, including the number of cigarettes smoked per day and levels of nicotine dependence in a population of adult smokers. (1) Having specific HSR reduces the urges to smoke (path A); (2) having specific HSR reduces CPD (path B); (3) having specific HSR results in lower overall nicotine addiction (path C), and later, TTFC will be associated with (4) lower urges to smoke in the morning (path A'), (5) fewer CPD (path B'), and (6) lower levels of nicotine addiction (path C'). METHOD Regression models using self-reported data from the Pennsylvania Adult Smoking Study (N = 353) were used. TTFC was measured minutes between waking and the first cigarette of the day. Household smoking restrictions were measured as follows: (1) full ban on smoking in the home, (2) partial ban, or (3) no ban. RESULTS Subjects with no household smoking restrictions had lower incomes and education than those with at least some household smoking restrictions; those with full bans smoked less and had an earlier TTFC than those with at least some household smoking restrictions. Smokers with a full ban had a later TTFC, mediated by fewer cigarettes per day and lower cravings. Among those with partial bans, there is no reduction in cigarettes per day and an increase in urges to smoke. CONCLUSIONS Partial household smoking restrictions are no better than no household smoking restrictions with regard to cigarettes per day and TTFC, and may cause an increase in urges to smoke in the morning.
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Affiliation(s)
- Steven A. Branstetter
- Department of Biobehavioral Health, Pennsylvania State University, University Park State College, PA, USA
- Penn State Cancer Institute, Pennsylvania State University, Hershey, PA, USA
| | - Nicolle Krebs
- Penn State Cancer Institute, Pennsylvania State University, Hershey, PA, USA
| | - Joshua E. Muscat
- Penn State Cancer Institute, Pennsylvania State University, Hershey, PA, USA
- Department of Public Health Science, Milton S. Hershey Medical School, Pennsylvania State University, University Park College State, PA, USA
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Wang C, Jiang H, Zhu Y, Guo Y, Gan Y, Tian Q, Lou Y, Cao S, Lu Z. Association of the Time to First Cigarette and the Prevalence of Chronic Respiratory Diseases in Chinese Elderly Population. J Epidemiol 2021; 32:415-422. [PMID: 33746147 PMCID: PMC9359902 DOI: 10.2188/jea.je20200502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Increasing number of studies has suggested the time to first cigarette after waking (TTFC) have significant positive effect on respiratory diseases. However, few of them are focused on Chinese population. This study aims to estimate the impact of TTFC on the prevalence of chronic respiratory diseases (CRD) in Chinese elderly and explore the association in different sub-populations. METHODS Cross-sectional data of demographic characteristics, living environment, smoking-related variables, and CRD were drawn from the Chinese Longitudinal Healthy Longevity Survey in 2018. Multivariate stepwise logistic regression analyses were conducted to examine the association of the TTFC with the prevalence of CRD. RESULTS This study includes 13208 subjects aged 52 years and older, with a mean age of 85.3 years. Of them, 3779 participants are ex- or current smokers (44.9% had the TTFC ≤30 minutes, 55.1% >30 minutes) and 1503 have suffered from CRD. Compared with non-smokers, participants with TTFC ≤30 minutes seemed to have higher prevalence of CRD (OR 1.97; 95% CI, 1.65-2.35) than those with TTFC >30 minutes (OR 1.70; 95% CI, 1.44-2.00), although the difference was statistically insignificant (Pinteraction=0.12). Compared with TTFC >30 minutes, TTFC ≤30 minutes could drive a higher prevalence of CRD among female participants, those aged 90 years and older, urban residents, and those ex-smokers (Pinteraction<0.05). CONCLUSIONS Shorter TTFC relates to higher prevalences of CRD in Chinese older females, those aged 90 years and older, urban residents, and ex-smokers. Delaying TTFC might particially reduce its detrimental impact on respiratory disease in these specific subpopulations.
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Affiliation(s)
- Chao Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University.,Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne
| | - Yi Zhu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Yingying Guo
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Qingfeng Tian
- Department of Social Medicine and Health Management, School of Public Health, Zhengzhou University
| | - Yiling Lou
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Shiyi Cao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
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Xue W, Lopez-Quintero C, Anthony JC. 'Time to first tobacco cigarette soon after waking' occurs more often among underage newly incident smokers in the United States, 2004-2017. Addict Behav 2020; 111:106535. [PMID: 32712495 DOI: 10.1016/j.addbeh.2020.106535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/26/2020] [Accepted: 06/29/2020] [Indexed: 11/28/2022]
Abstract
AIMS Time to first cigarette (TTFC) after waking is a highly regarded and readily measured manifestation of a tobacco dependence process. We aim to estimate short TTFC as it occurs very soon after the onset of cigarette smoking (CS) in a community sample of newly incident smokers, all 12-21 years of age, and to study risk variation with the age of CS onset. METHODS United States National Surveys on Drug Use and Health, 2004-2017, drew large nationally representative samples of 12-to-21-year-old community residents, and used computerized self-interviews to measure tobacco cigarette smoking, the Fagerstrom TTFC construct, and related variables. A 'short' TTFC was defined as smoking the first cigarette after waking up within 30 min vs. 'long' TTFC or smoking more than 30 min. We studied 8188 newly incident smokers, all assessed within six months after the first puff. Estimated age-specific cumulative incidence proportions (CIP) and odds ratios (OR) are estimated and compared, with due attention to complex survey design and weights. RESULTS Among underage newly incident smokers (12-17 years old), an estimated 5.2% experienced short TTFC within 6 months after CS onset (95% CI = 4.4%, 6.2%), versus 3.7% for older new smokers (18-21 years; 95% CI = 2.8%, 4.6%). Underage smokers are 1.5 times more likely to develop short TTFC compared to older initiates (95% CI = 1.1, 2.1). No male-female variations are seen, but exploratory analysis disclosed findings that involve Census-defined race-ethnicity subgroups. Non-Hispanic African-American initiates are twice as likely to develop short TTFC, and Hispanic initiates are less likely to develop short TTFC, as compared with non-Hispanic White smokers. CONCLUSIONS Based on US community samples our study offers new evidence about TTFC formation observed within six months after the first puff when cigarette smoking starts before age 18 years.
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Affiliation(s)
- Wei Xue
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA; Department of Biostatistics, University of Florida, Gainesville, FL, USA.
| | | | - James C Anthony
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
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11
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Quach BC, Bray MJ, Gaddis NC, Liu M, Palviainen T, Minica CC, Zellers S, Sherva R, Aliev F, Nothnagel M, Young KA, Marks JA, Young H, Carnes MU, Guo Y, Waldrop A, Sey NYA, Landi MT, McNeil DW, Drichel D, Farrer LA, Markunas CA, Vink JM, Hottenga JJ, Iacono WG, Kranzler HR, Saccone NL, Neale MC, Madden P, Rietschel M, Marazita ML, McGue M, Won H, Winterer G, Grucza R, Dick DM, Gelernter J, Caporaso NE, Baker TB, Boomsma DI, Kaprio J, Hokanson JE, Vrieze S, Bierut LJ, Johnson EO, Hancock DB. Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits. Nat Commun 2020; 11:5562. [PMID: 33144568 PMCID: PMC7642344 DOI: 10.1038/s41467-020-19265-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 09/24/2020] [Indexed: 12/31/2022] Open
Abstract
Cigarette smoking is the leading cause of preventable morbidity and mortality. Genetic variation contributes to initiation, regular smoking, nicotine dependence, and cessation. We present a Fagerström Test for Nicotine Dependence (FTND)-based genome-wide association study in 58,000 European or African ancestry smokers. We observe five genome-wide significant loci, including previously unreported loci MAGI2/GNAI1 (rs2714700) and TENM2 (rs1862416), and extend loci reported for other smoking traits to nicotine dependence. Using the heaviness of smoking index from UK Biobank (N = 33,791), rs2714700 is consistently associated; rs1862416 is not associated, likely reflecting nicotine dependence features not captured by the heaviness of smoking index. Both variants influence nearby gene expression (rs2714700/MAGI2-AS3 in hippocampus; rs1862416/TENM2 in lung), and expression of genes spanning nicotine dependence-associated variants is enriched in cerebellum. Nicotine dependence (SNP-based heritability = 8.6%) is genetically correlated with 18 other smoking traits (rg = 0.40-1.09) and co-morbidities. Our results highlight nicotine dependence-specific loci, emphasizing the FTND as a composite phenotype that expands genetic knowledge of smoking.
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Affiliation(s)
- Bryan C Quach
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Michael J Bray
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Nathan C Gaddis
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290, Helsinki, Finland
| | - Camelia C Minica
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - Stephanie Zellers
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Richard Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, 02118, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Faculty of Business, Karabuk University, 78050, Kılavuzlar/Karabük Merkez/Karabük, Turkey
| | - Michael Nothnagel
- Cologne Center for Genomics, University of Cologne, 50931, Köln, Germany
- University Hospital Cologne, 50931, Köln, Germany
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Jesse A Marks
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Hannah Young
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Megan U Carnes
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Yuelong Guo
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
- GeneCentric Therapeutics, Research Triangle Park, NC, 27709, USA
| | - Alex Waldrop
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Nancy Y A Sey
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Maria T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Daniel W McNeil
- Department of Psychology, West Virginia University, Morgantown, WV, 26505, USA
- Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, 26505, USA
| | - Dmitriy Drichel
- Cologne Center for Genomics, University of Cologne, 50931, Köln, Germany
- University Hospital Cologne, 50931, Köln, Germany
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Christina A Markunas
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University, 6500 HE, Nijmegen, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- VISN 4 MIRECC, Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
| | - Nancy L Saccone
- Department of Genetics, Washington University, St. Louis, MO, 63130, USA
- Division of Biostatistics, Washington University, St. Louis, MO, 63130, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Pamela Madden
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Matthew McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Georg Winterer
- Experimental & Clinical Research Center, Department of Anesthesiology and Operative Intensive Care Medicine, Charité - University Medicine Berlin, 10117, Berlin, Germany
| | - Richard Grucza
- Departments of Family and Community Medicine and Health and Clinical Outcomes Research, Saint Louis University, St. Louis, MO, 63130, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, 23284, USA
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, 06511, USA
| | - Neil E Caporaso
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Timothy B Baker
- Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53726, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, 1081 BT, Amsterdam, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, 63130, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA
- Fellow Program, RTI International, Research Triangle Park, NC, 27709, USA
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, 27709, USA.
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12
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Chen J, Loukola A, Gillespie NA, Peterson R, Jia P, Riley B, Maes H, Dick DM, Kendler KS, Damaj MI, Miles MF, Zhao Z, Li MD, Vink JM, Minica CC, Willemsen G, Boomsma DI, Qaiser B, Madden PAF, Korhonen T, Jousilahti P, Hällfors J, Gelernter J, Kranzler HR, Sherva R, Farrer L, Maher B, Vanyukov M, Taylor M, Ware JJ, Munafò MR, Lutz SM, Hokanson JE, Gu F, Landi MT, Caporaso NE, Hancock DB, Gaddis NC, Baker TB, Bierut LJ, Johnson EO, Chenoweth M, Lerman C, Tyndale R, Kaprio J, Chen X. Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes. Nicotine Tob Res 2020; 22:900-909. [PMID: 31294817 PMCID: PMC7249921 DOI: 10.1093/ntr/ntz099] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/14/2018] [Indexed: 12/19/2022]
Abstract
INTRODUCTION FTND (Fagerstrӧm test for nicotine dependence) and TTFC (time to smoke first cigarette in the morning) are common measures of nicotine dependence (ND). However, genome-wide meta-analysis for these phenotypes has not been reported. METHODS Genome-wide meta-analyses for FTND (N = 19,431) and TTFC (N = 18,567) phenotypes were conducted for adult smokers of European ancestry from 14 independent cohorts. RESULTS We found that SORBS2 on 4q35 (p = 4.05 × 10-8), BG182718 on 11q22 (p = 1.02 × 10-8), and AA333164 on 14q21 (p = 4.11 × 10-9) were associated with TTFC phenotype. We attempted replication of leading candidates with independent samples (FTND, N = 7010 and TTFC, N = 10 061), however, due to limited power of the replication samples, the replication of these new loci did not reach significance. In gene-based analyses, COPB2 was found associated with FTND phenotype, and TFCP2L1, RELN, and INO80C were associated with TTFC phenotype. In pathway and network analyses, we found that the interconnected interactions among the endocytosis, regulation of actin cytoskeleton, axon guidance, MAPK signaling, and chemokine signaling pathways were involved in ND. CONCLUSIONS Our analyses identified several promising candidates for both FTND and TTFC phenotypes, and further verification of these candidates was necessary. Candidates supported by both FTND and TTFC (CHRNA4, THSD7B, RBFOX1, and ZNF804A) were associated with addiction to alcohol, cocaine, and heroin, and were associated with autism and schizophrenia. We also identified novel pathways involved in cigarette smoking. The pathway interactions highlighted the importance of receptor recycling and internalization in ND. IMPLICATIONS Understanding the genetic architecture of cigarette smoking and ND is critical to develop effective prevention and treatment. Our study identified novel candidates and biological pathways involved in FTND and TTFC phenotypes, and this will facilitate further investigation of these candidates and pathways.
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Affiliation(s)
- Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV
| | - Anu Loukola
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Nathan A Gillespie
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Roseann Peterson
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Peilin Jia
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX
| | - Brien Riley
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Hermine Maes
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Daniella M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - M Imad Damaj
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
| | - Michael F Miles
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
| | - Zhongming Zhao
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX
| | - Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jacqueline M Vink
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Camelia C Minica
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands
- Neuroscience Campus Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands
- Neuroscience Campus Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands
- Neuroscience Campus Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Beenish Qaiser
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | | | - Tellervo Korhonen
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | | | - Jenni Hällfors
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Joel Gelernter
- Department of Psychiatry, Yale University, New Haven, CT
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Richard Sherva
- Section of Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Lindsay Farrer
- Section of Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Brion Maher
- Department of Mental Health, Johns Hopkins University, Baltimore, MD
| | - Michael Vanyukov
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Jenifer J Ware
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Sharon M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - John E Hokanson
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Fangyi Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Maria T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Neil E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Dana B Hancock
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC
| | - Nathan C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC
| | - Timothy B Baker
- Center for Tobacco Research and Intervention, University of Wisconsin, Madison, WI
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO
| | - Eric O Johnson
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC
- Fellow Program, RTI International, Research Triangle Park, NC
| | - Meghan Chenoweth
- Centre for Addiction and Mental Health, and Departments of Pharmacology and Toxicology, and Psychiatry, University of Toronto, Toronto, Canada
| | - Caryn Lerman
- Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Rachel Tyndale
- Centre for Addiction and Mental Health, and Departments of Pharmacology and Toxicology, and Psychiatry, University of Toronto, Toronto, Canada
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Xiangning Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
- Department of Psychology, University of Nevada Las Vegas, Las Vegas, NV
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13
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Sung B. Time to First Cigarette and Self-Reported Health Among US Adult Smokers. Tob Use Insights 2019; 12:1179173X18825262. [PMID: 30728728 PMCID: PMC6351964 DOI: 10.1177/1179173x18825262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 12/20/2018] [Indexed: 12/31/2022] Open
Abstract
Background: Numerous studies have reported that shorter time to first cigarette (TTFC) is linked to elevated risk for smoking-related morbidity. However, little is known about the influence of early TTFC on self-reported health among current smokers. Hence, the objective of this study was to examine the association between TTFC and self-reported health among US adult smokers. Methods: Data came from the 2012-2013 National Adult Tobacco Survey (NATS). Current smokers aged 18 years and older (N = 3323) were categorized into 2 groups based on TTFC: ≤ 5 minutes (n = 1066) and >5 minutes (n = 2257). Propensity score matching (PSM) was used to control selection bias. Results: After adjusting for sociodemographic and smoking behavior factors, current smokers with early TTFC had higher odds for poor health in comparison with current smokers with late TTFC in the prematching (adjusted odds ratio [AOR] = 1.65; 95% confidence interval [CI] = 1.31-2.08) and postmatching (AOR = 1.60; 95% CI = 1.22-2.09) samples. Conclusions: In conclusion, smokers with early TTFC were associated with increased risk of poor health in the United States. To reduce early TTFC, elaborate efforts are needed to educate people about harms of early TTFC and benefits of stopping early TTFC.
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Affiliation(s)
- Baksun Sung
- Department of Sociology, Social Work, and Anthropology, Utah State University, Logan, UT, USA
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14
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Zhu J, Nelson K, Toth J, Muscat JE. Nicotine dependence as an independent risk factor for atherosclerosis in the National Lung Screening Trial. BMC Public Health 2019; 19:103. [PMID: 30669994 PMCID: PMC6343324 DOI: 10.1186/s12889-019-6419-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 01/09/2019] [Indexed: 12/21/2022] Open
Abstract
Background Atherosclerosis and COPD are systemic inflammatory diseases that share common risk factors including cigarette smoking. A high level of nicotine dependence is emerging as a recently identified risk factor for pulmonary impairment, chronic obstructive pulmonary disease and tobacco-related cancers. We hypothesized that nicotine dependence is associated with the risk of atherosclerosis in long-term cigarette smokers. Methods A nested case-control study was conducted within the National Lung Cancer Screening Trial- American College of Radiology Imaging Network. Cases were defined as having a new diagnosis of any type of atherosclerosis. Controls were matched on a 2:1 basis by age, sex, race, study center, smoking status, years of smoking, and frequency of smoking. Dependence was measured by the time to first cigarette after awakening (TTFC). Results The study included 166 cases and 286 controls. Compared to participants who smoked within 5 min after waking, the risk of atherosclerosis for participants who smoked an hour or more after waking was borderline non-significant (odds ratio = 0.49, 95% confidence intervals [CI] 0.23, 1.00). Findings were similar for men and women. For aortic atherosclerosis, the corresponding odds ratio was 0.24 (95% CI 0.08, 0.69). Hypertension was associated with an increased risk and body mass index was associated with a decreased risk of aortic atherosclerosis. The TTFC was unrelated to coronary atherosclerosis. Conclusions Compared to smoking immediately after waking, delaying an hour or more reduces the risk of aortic atherosclerosis even among long-term heavy smokers. Possible mechanisms that explain this association are intensity of smoking, inflammation and oxidative stress, and elevated lipid levels.
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Affiliation(s)
- Junjia Zhu
- Penn State College of Medicine, Department of Public Health Sciences, Pennsylvania State University, MC CH69, 500 University Drive, P.O. Box 850, Hershey, PA, 17033, USA
| | - Kevin Nelson
- Penn State College of Medicine, Department of Public Health Sciences, Pennsylvania State University, MC CH69, 500 University Drive, P.O. Box 850, Hershey, PA, 17033, USA
| | - Jennifer Toth
- Penn State Milton S. Hershey Medical Center, Department of Pulmonary Medicine, 500 University Drive, PO Box 850, Hershey, PA, 17033, USA
| | - Joshua E Muscat
- Penn State College of Medicine, Department of Public Health Sciences, Pennsylvania State University, MC CH69, 500 University Drive, P.O. Box 850, Hershey, PA, 17033, USA.
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15
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Hancock DB, Guo Y, Reginsson GW, Gaddis NC, Lutz SM, Sherva R, Loukola A, Minica CC, Markunas CA, Han Y, Young KA, Gudbjartsson DF, Gu F, McNeil DW, Qaiser B, Glasheen C, Olson S, Landi MT, Madden PAF, Farrer LA, Vink J, Saccone NL, Neale MC, Kranzler HR, McKay J, Hung RJ, Amos CI, Marazita ML, Boomsma DI, Baker TB, Gelernter J, Kaprio J, Caporaso NE, Thorgeirsson TE, Hokanson JE, Bierut LJ, Stefansson K, Johnson EO. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 2018; 23:1911-1919. [PMID: 28972577 PMCID: PMC5882602 DOI: 10.1038/mp.2017.193] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/14/2017] [Accepted: 07/17/2017] [Indexed: 11/09/2022]
Abstract
Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44-77%) was associated with increased risk of nicotine dependence at P=3.7 × 10-8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04-1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 × 10-4, OR=1.05, and 95% CI=1.02-1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01-1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 × 10-26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 × 10-6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.
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Affiliation(s)
- D B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA.
| | - Y Guo
- Center for Genomics in Public Health and Medicine, RTI International, Research Triangle Park, NC, USA
| | | | - N C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC, USA
| | - S M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - R Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - A Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C C Minica
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - C A Markunas
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - Y Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - K A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - D F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Department of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | - F Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - D W McNeil
- Department of Psychology, West Virginia University, Morgantown, WV, USA
- Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, USA
| | - B Qaiser
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - C Glasheen
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| | - S Olson
- Public Health Informatics Program, eHealth, Quality and Analytics Division, RTI International, Research Triangle Park, NC, USA
| | - M T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - P A F Madden
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - L A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J Vink
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - N L Saccone
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - M C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Crescenz VA Medical Center, Philadelphia, PA, USA
| | - J McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - R J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - C I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - M L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - T B Baker
- Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - J Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- VA CT Healthcare Center, Department of Psychiatry, West Haven, CT, USA
| | - J Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - N E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | | | - J E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | | | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
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16
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Selya AS, Thapa S, Mehta G. Earlier smoking after waking and the risk of asthma: a cross-sectional study using NHANES data. BMC Pulm Med 2018; 18:102. [PMID: 29914472 PMCID: PMC6006732 DOI: 10.1186/s12890-018-0672-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 06/13/2018] [Indexed: 11/10/2022] Open
Abstract
Background Recent research shows that nicotine dependence conveys additional health risks above and beyond smoking behavior. The current study examines whether smoking within 5 min of waking, an indicator of nicotine dependence, is independently associated with asthma outcomes. Methods Data were drawn from five pooled cross-sectional waves (2005–14) of NHANES, and the final sample consisted of N = 4081 current adult smokers. Weighted logistic regressions were run examining the relationship between smoking within 5 min of waking and outcomes of lifetime asthma, past-year asthma, and having had an asthma attack in the past year. Control variables included demographics, smoking behavior, family history of asthma, depression, obesity, and secondhand smoking exposure. Results After adjusting for smoking behavior, smoking within 5 min was associated with an approximately 50% increase in the odds of lifetime asthma (OR = 1.46, p = .008) and past-year asthma (OR = 1.47, p = .024), respectively. After additionally adjusting for demographics and other asthma risk factors, smoking within 5 min of waking was associated with a four-fold increase in the odds of lifetime asthma (OR = 4.05, p = .015). Conclusions Smoking within 5 min of waking, an indicator of nicotine dependence, is associated with a significantly increased risk of lifetime asthma in smokers. These findings could be utilized in refining risk assessment of asthma among smokers. Electronic supplementary material The online version of this article (10.1186/s12890-018-0672-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Arielle S Selya
- Master of Public Health Program, Department of Population Health, University of North Dakota, 1301 North Columbia Rd. Stop 9037, Grand Forks, ND, 58202, USA.
| | - Sunita Thapa
- Master of Public Health Program, Department of Population Health, University of North Dakota, 1301 North Columbia Rd. Stop 9037, Grand Forks, ND, 58202, USA.,Department of Public Policy, Vanderbilt University School of Medicine, 2525 West End Ave, Suite 1200, Nashville, TN, 37203, USA
| | - Gaurav Mehta
- Master of Public Health Program, Department of Population Health, University of North Dakota, 1301 North Columbia Rd. Stop 9037, Grand Forks, ND, 58202, USA
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17
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Zhou H, Shi B, Jia Y, Qiu G, Yang W, Li J, Zhao Z, Lv J, Zhang Y, Li Z. Expression and significance of autonomic nerves and α9 nicotinic acetylcholine receptor in colorectal cancer. Mol Med Rep 2018; 17:8423-8431. [PMID: 29658602 DOI: 10.3892/mmr.2018.8883] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Accepted: 01/16/2018] [Indexed: 11/05/2022] Open
Abstract
The present study evaluated the distribution of sympathetic and parasympathetic nerves and the expression of the α9 nicotinic acetylcholine receptor (α9nAChR) and investigated their potential association with colorectal cancer (CRC) development. The distribution of autonomic nerves and α9nAChR in CRC was detected by immunohistochemistry, which was then used to analyze their association with clinicopathological parameters and prognosis. Sympathetic fibers were primarily observed in the stroma adjacent to cancer cells, whereas parasympathetic fibers were primarily observed in the stroma away from cancer cells. Patients with samples positive for sympathetic nerve fibers had less lymph node invasion and a better prognosis compared with patients with samples negative for sympathetic nerve fibers. The expression of parasympathetic nerves in patients >60 years old was increased compared with patients ≤60 years old. The expression of parasympathetic nerves in patients with lymph node invasion was increased compared with patients without lymph node invasion. The detection of parasympathetic nerves gradually increased as CRC (T stage) advanced. Patients with parasympathetic negative samples had better prognoses compared with patients with parasympathetic positive samples. The expression of α9nAChR was principally localized in cellular membranes and the cytoplasm of CRC tissues and it was revealed to have a positive association with the number of parasympathetic nerves. Increased α9nAChR expression was observed in patients >60 years old compared with patients <60 years old. The detection rate of α9nAChR in tissues from patients with lymph node invasion was increased compared with patients without lymph node invasion. The detection of α9nAChR gradually increased as the CRC stage advanced. The prognoses for patients with α9nAChR negative tissue were improved compared with the prognoses for patients with α9nAChR positive tissue. Sympathetic nerves were primarily detected in the early phases of CRC and indicated a good prognosis. Parasympathetic nerves and α9nAChR were principally observed in the late phases of cancer and indicated a poor prognosis. The present study revealed that parasympathetic nerves may promote the progression of CRC through α9nAChR.
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Affiliation(s)
- Hui Zhou
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Baojun Shi
- Department of Pediatric Surgery, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Yitao Jia
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, P.R. China
| | - Gang Qiu
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, P.R. China
| | - Weiguang Yang
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Jiali Li
- Research Center, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Zhaolong Zhao
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Jian Lv
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Yanni Zhang
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Zhongxin Li
- Second Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
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18
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Kim G, Song H, Park K, Noh H, Lee E, Lee H, Kim H, Paek Y. Association of Time to First Morning Cigarette and Chronic Obstructive Pulmonary Disease Measured by Spirometry in Current Smokers. Korean J Fam Med 2018; 39:67-73. [PMID: 29629037 PMCID: PMC5876051 DOI: 10.4082/kjfm.2018.39.2.67] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/17/2016] [Accepted: 10/20/2016] [Indexed: 11/23/2022] Open
Abstract
Background Time to first cigarette after waking is an indicator of nicotine dependence. We aimed to identify the association between time to first cigarette and spirometry-proven obstructive respiratory impairment, especially chronic obstructive pulmonary disease, in current smokers. Methods We included 392 subjects who visited the comprehensive medical examination center of Hallym University Sacred Heart Hospital between July 2014 and September 2015. Subjects with lung disease or anemia were excluded. Obstructive pulmonary impairment was defined as <70% of the predicted value of forced expiratory volume in 1 second/forced vital capacity. Subjects were classified into the early (≤30 minutes) and late (>30 minutes) groups based on the time to first cigarette. Logistic regression and linear regression analyses were used for data analysis. Results Ninety-eight subjects (25%) were classified into the early group. After adjusting for smoking behaviors (cigarettes per day and smoking duration), socioeconomic status (education and income), age, and physical activity, an early time to first cigarette was found to be associated with an increased risk of obstructive pulmonary impairment measured using spirometry (adjusted odds ratio, 2.84; 95% confidence interval, 1.22–6.61). Conclusion Compared to current smokers with a late time to first cigarette, those with an early time to first cigarette had a higher risk of obstructive pulmonary impairment, especially chronic obstructive pulmonary disease. Classifying smoking-related behaviors, especially time to first cigarette, may help target clinical screening for chronic obstructive pulmonary disease.
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Affiliation(s)
- Geonhyeok Kim
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hongji Song
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyunghee Park
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hyemi Noh
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Eunyoung Lee
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hyoeun Lee
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hayoon Kim
- Department of Family Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
| | - Yujin Paek
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
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19
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Zhu L, Ni Z, Luo X, Zhang Z, Wang S, Meng Z, Gu X, Wang X. The outcome and the influencing factors of the age of onset in post-mortem of chronic bronchitis patients: a retrospective study. Int J Chron Obstruct Pulmon Dis 2018; 13:645-652. [PMID: 29503538 PMCID: PMC5825962 DOI: 10.2147/copd.s157084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Purpose Chronic bronchitis is thought to occur in elderly patients, and smoking seems to be an important risk factor. The outcomes related to the age of onset in patients with chronic bronchitis are still unclear. Patients and methods A retrospective study was conducted on deceased patients whose diagnosis included bronchitis from 2010 to 2016. Patients were separated into two groups according to the age of onset (Group I, age ≤50 years old; Group II, age >50 years old). Information regarding disease course, smoking history, death age, number of admissions per year, Hugh Jones Index, and self-reported comorbidities of the patients was recorded. Results The courses of chronic cough and sputum were 33.38±7.73 years and 14.44±8.60 years in Group I and Group II, respectively (p<0.05). The death ages of Group I and Group II were 77.65±7.87 years and 84.69±6.67 years, respectively (p<0.05). There was a significant negative correlation between the number of hospital admissions per year and the age of onset. The age of onset was negatively associated with daily smoking count (r=−0.210) and total smoking count (r=−0.146). In Group I, there were fewer cases of coronary heart disease (OR =0.41 [0.24–0.71]), neurological diseases (OR =0.48 [0.24–0.97]), and total comorbidities (OR =0.67 [0.54–0.85]) than in Group II. Conclusion Patients with early onset chronic bronchitis had a longer history, younger death age, poorer health status, and lower incidence of comorbidities.
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Affiliation(s)
- Linyun Zhu
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Zhenhua Ni
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuming Luo
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Zhuhua Zhang
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Shiqiang Wang
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Ziyu Meng
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Xiandong Gu
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
| | - Xiongbiao Wang
- Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai
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20
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Olfson E, Bloom J, Bertelsen S, Budde JP, Breslau N, Brooks A, Culverhouse R, Chan G, Chen LS, Chorlian D, Dick DM, Edenberg HJ, Hartz S, Hatsukami D, Hesselbrock VM, Johnson EO, Kramer JR, Kuperman S, Meyers JL, Nurnberger J, Porjesz B, Saccone NL, Schuckit MA, Stitzel J, Tischfield JA, Rice JP, Goate A, Bierut LJ. CYP2A6 metabolism in the development of smoking behaviors in young adults. Addict Biol 2018; 23:437-447. [PMID: 28032407 PMCID: PMC5491369 DOI: 10.1111/adb.12477] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 09/12/2016] [Accepted: 10/28/2016] [Indexed: 11/28/2022]
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.
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Affiliation(s)
- Emily Olfson
- Child Study Center and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Joseph Bloom
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- Department of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA
| | - Sarah Bertelsen
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John P Budde
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Naomi Breslau
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Andrew Brooks
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Robert Culverhouse
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - David Chorlian
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Danielle M Dick
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sarah Hartz
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Dorothy Hatsukami
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Victor M Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Eric O Johnson
- Behavioral Health Epidemiology Program, RTI International, Research Triangle Park, NC, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Nancy L Saccone
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA, USA
| | - Jerry Stitzel
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - John P Rice
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
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21
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Selya AS, Oancea SC, Thapa S. Time to First Cigarette, a Proxy of Nicotine Dependence, Increases the Risk of Pulmonary Impairment, Independently of Current and Lifetime Smoking Behavior. Nicotine Tob Res 2016; 18:1431-9. [PMID: 26729736 DOI: 10.1093/ntr/ntv291] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 12/27/2015] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Cigarette smoking is the largest known risk factor for chronic obstructive pulmonary disease (COPD), but little is known about the role of time to first cigarette (TTFC), an indicator of nicotine dependence (ND). This study examines whether daily TTFC is associated with pulmonary outcomes, independently of smoking behavior. METHODS A cross-sectional sample of 1461 current adult smokers were drawn from the National Health and Nutrition Examination Survey (NHANES), 2007-2010. The relationships of daily TTFC with outcomes of spirometry-defined pulmonary impairment and self-reported respiratory symptoms (coughing, bringing up phlegm, and wheezing) were examined (1) at the unadjusted level, (2) after adjusting for smoking heaviness and duration, and (3) after also adjusting for environmental exposure and demographics. RESULTS In fully-adjusted weighted regressions, those reporting TTFC ≤ 5 minutes were three times as likely to have COPD (confidence interval [CI] = 1.30-8.77), had a 3% lower forced vital capacity expired in the first second (FEV1/FVC) (CI = -0.051 to -0.009), were seven times as likely to report coughing (CI = 1.96-26.41), and 16 times as likely to report bringing up phlegm (CI = 3.43-74.82), relative to those reporting TTFC > 60 minutes. Similar associations were often found when comparing TTFC between 5 to 30 minutes and TTFC between 30 to 60 minutes with TTFC > 60 minutes. CONCLUSIONS "Addicted" smoking, as measured by earlier TTFC, is associated with a markedly increased risk of spirometry-measured obstructive pulmonary impairment, and of reporting symptoms of coughing and phlegm, even after controlling for smoking behavior and other risk factors for COPD. TTFC may prove valuable in more precisely assessing smokers' risk of pulmonary impairment. IMPLICATIONS This study shows that smoking sooner after waking, a reliable indicator of ND, substantially increases the risk of spirometry-defined pulmonary impairment and self-reported symptoms, independently of lifetime and current smoking behavior. This study adds to a small body of literature examining health outcomes associated with higher ND, including outcomes of COPD. The current study overcomes important shortcomings of these existing studies in at least two ways: controlling for other known risk factors for COPD, and using empirical, spirometry-defined outcomes pulmonary function rather than self-reported COPD outcomes.
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Affiliation(s)
- Arielle S Selya
- Master of Public Health Program, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND
| | - Sanda Cristina Oancea
- Master of Public Health Program, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND
| | - Sunita Thapa
- Master of Public Health Program, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND
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22
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Hancock DB, Reginsson GW, Gaddis NC, Chen X, Saccone NL, Lutz SM, Qaiser B, Sherva R, Steinberg S, Zink F, Stacey SN, Glasheen C, Chen J, Gu F, Frederiksen BN, Loukola A, Gudbjartsson DF, Brüske I, Landi MT, Bickeböller H, Madden P, Farrer L, Kaprio J, Kranzler HR, Gelernter J, Baker TB, Kraft P, Amos CI, Caporaso NE, Hokanson JE, Bierut LJ, Thorgeirsson TE, Johnson EO, Stefansson K. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence. Transl Psychiatry 2015; 5:e651. [PMID: 26440539 PMCID: PMC4930126 DOI: 10.1038/tp.2015.149] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 08/19/2015] [Indexed: 01/04/2023] Open
Abstract
We conducted a 1000 Genomes-imputed genome-wide association study (GWAS) meta-analysis for nicotine dependence, defined by the Fagerström Test for Nicotine Dependence in 17 074 ever smokers from five European-ancestry samples. We followed up novel variants in 7469 ever smokers from five independent European-ancestry samples. We identified genome-wide significant association in the alpha-4 nicotinic receptor subunit (CHRNA4) gene on chromosome 20q13: lowest P=8.0 × 10(-9) across all the samples for rs2273500-C (frequency=0.15; odds ratio=1.12 and 95% confidence interval=1.08-1.17 for severe vs mild dependence). rs2273500-C, a splice site acceptor variant resulting in an alternate CHRNA4 transcript predicted to be targeted for nonsense-mediated decay, was associated with decreased CHRNA4 expression in physiologically normal human brains (lowest P=7.3 × 10(-4)). Importantly, rs2273500-C was associated with increased lung cancer risk (N=28 998, odds ratio=1.06 and 95% confidence interval=1.00-1.12), likely through its effect on smoking, as rs2273500-C was no longer associated with lung cancer after adjustment for smoking. Using criteria for smoking behavior that encompass more than the single 'cigarettes per day' item, we identified a common CHRNA4 variant with important regulatory properties that contributes to nicotine dependence and smoking-related consequences.
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Affiliation(s)
- D B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Research Division, Research Triangle Institute International, Research Triangle Park, NC, USA,Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Research Division, Research Triangle Institute International, 3040 East Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA. E-mail:
| | | | - N C Gaddis
- Research Computing Division, Research Triangle Institute International, Research Triangle Park, NC, USA
| | - X Chen
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA,Nevada Institute of Personalized Medicine and Department of Psychology, University of Nevada, Las Vegas, NV, USA
| | - N L Saccone
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, USA
| | - S M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - B Qaiser
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - R Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | | | - F Zink
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | - S N Stacey
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | - C Glasheen
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Research Division, Research Triangle Institute International, Research Triangle Park, NC, USA
| | - J Chen
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - F Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | | | - A Loukola
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - I Brüske
- Institute of Epidemiology I, German Research Center for Environmental Health, Neuherberg, Germany
| | - M T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - H Bickeböller
- Department of Genetic Epidemiology, University of Göttingen—Georg-August University Göttingen, Göttingen, Germany
| | - P Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - L Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA,Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA,Department of Genetics and Genomics, Boston University School of Medicine, Boston, MA, USA,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J Kaprio
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA,VISN 4 Mental Illness Research, Education and Clinical Center, Philadelphia VA Medical Center, Philadelphia, PA, USA
| | - J Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Department of Genetics, Yale University School of Medicine, New Haven, CT, USA,Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA,VA CT Healthcare Center, Department of Psychiatry, West Haven, CT, USA
| | - T B Baker
- Center for Tobacco Research and Intervention, University of Wisconsin, Madison, WI, USA
| | - P Kraft
- Department of Epidemiology, Harvard University School of Public Health, Boston, MA, USA,Department of Biostatistics, Harvard University School of Public Health, Boston, MA, USA
| | - C I Amos
- Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA,Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA,Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanoven, NH, USA
| | - N E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
| | - J E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Research Division, Research Triangle Institute International, Research Triangle Park, NC, USA
| | - K Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
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