This project will test genetic risk markers for smoking trajectory from adolescence through young adulthood in a cohort collected during the initial program project. We will concentrate on genetic risk markers in neuronal nicotinic acetylcholine receptors (nAChRs) but also will consider a limited number of other candidate genes for which there is strong empirical support. We reported previously that CHRNA5-A3-B4 haplotype association with adult nicotine dependence in Whites was more robust in smokers who began daily smoking prior to age 17. This strongly suggests a heightened sensitivity to these risk markers in adolescents. This project uses a unique, prospectively studied adolescent cohort with a rich set of longitudinal phenotypes characterizing smoking progression. We will test possible additive and Interactive effects of genetic risk markers and other variables known to be associated with smoking trajectory (e.g., gender, race, substance use, depression, peer influence and parental smoking). Also, we will examine hypotheses regarding the mediation of genetic associations with smoking trajectoiy by short-term affect regulation and alleviation of nicotine withdrawal by cigarette smoking. Further, we will determine the genetic architecture of nAChR genes within the racial/ethnic groups represented in the study cohort so haplotype-specific genetic risk markers can be tested across races.

Public Health Relevance

Adolescence and young adulthood Is the time of highest risk of becoming nicotine dependent. This project will examine the contribution of genetics to the progression of nicotine dependence and will assess how genetic and non-genetic factors combine to affect risk for nicotine dependence. Results of this research will contribute to more effective smoking prevention and cessation programs in the future.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA098262-06A1
Application #
7985361
Study Section
Special Emphasis Panel (ZCA1-RPRB-7 (M1))
Project Start
2010-07-01
Project End
2015-06-30
Budget Start
2010-07-01
Budget End
2011-07-31
Support Year
6
Fiscal Year
2010
Total Cost
$373,874
Indirect Cost
Name
University of Illinois at Chicago
Department
Type
DUNS #
098987217
City
Chicago
State
IL
Country
United States
Zip Code
60612
Selya, Arielle S; Cannon, Dale S; Weiss, Robert B et al. (2018) The role of nicotinic receptor genes (CHRN) in the pathways of prenatal tobacco exposure on smoking behavior among young adult light smokers. Addict Behav 84:231-237
Xie, Hui; Gao, Weihua; Xing, Baodong et al. (2018) Measuring the Impact of Nonignorable Missingness Using the R Package isni. Comput Methods Programs Biomed 164:207-220
Lin, Xiaolei; Mermelstein, Robin J; Hedeker, Donald (2018) A 3-level Bayesian mixed effects location scale model with an application to ecological momentary assessment data. Stat Med 37:2108-2119
Selya, Arielle S; Dierker, Lisa; Rose, Jennifer S et al. (2018) The Role of Nicotine Dependence in E-Cigarettes' Potential for Smoking Reduction. Nicotine Tob Res 20:1272-1277
Selya, Arielle S; Rose, Jennifer S; Dierker, Lisa et al. (2018) Evaluating the mutual pathways among electronic cigarette use, conventional smoking and nicotine dependence. Addiction 113:325-333
Pugach, Oksana; Cannon, Dale S; Weiss, Robert B et al. (2017) Classification Tree Analysis as a Method for Uncovering Relations Between CHRNA5A3B4 and CHRNB3A6 in Predicting Smoking Progression in Adolescent Smokers. Nicotine Tob Res 19:410-416
Dierker, Lisa; Mendoza, William; Goodwin, Renee et al. (2017) Marijuana use disorder symptoms among recent onset marijuana users. Addict Behav 68:6-13
Piasecki, Thomas M; Trela, Constantine J; Mermelstein, Robin J (2017) Hangover Symptoms, Heavy Episodic Drinking, and Depression in Young Adults: A Cross-Lagged Analysis. J Stud Alcohol Drugs 78:580-587
Gorka, Stephanie M; Hedeker, Donald; Piasecki, Thomas M et al. (2017) Impact of alcohol use motives and internalizing symptoms on mood changes in response to drinking: An ecological momentary assessment investigation. Drug Alcohol Depend 173:31-38
Hedeker, Donald; Mermelstein, Robin J; Demirtas, Hakan et al. (2016) A Mixed-effects Location-Scale Model for Ordinal Questionnaire Data. Health Serv Outcomes Res Methodol 16:117-131

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