Classification Tree Analysis as a Method for Uncovering Relations Between CHRNA5A3B4 and CHRNB3A6 in Predicting Smoking Progression in Adolescent Smokers
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Donald Hedeker | Robin J Mermelstein | Oksana Pugach | D. Hedeker | R. Mermelstein | R. Weiss | D. Cannon | O. Pugach | Robert B Weiss | Dale S Cannon
[1] Achim Zeileis,et al. Bias in random forest variable importance measures: Illustrations, sources and a solution , 2007, BMC Bioinformatics.
[2] Robin Mermelstein,et al. Examining the psychometric properties and predictive validity of a youth-specific version of the Nicotine Dependence Syndrome Scale (NDSS) among teens with varying levels of smoking. , 2009, Addictive behaviors.
[3] U. Maskos,et al. Aversion to Nicotine Is Regulated by the Balanced Activity of β4 and α5 Nicotinic Receptor Subunits in the Medial Habenula , 2011, Neuron.
[4] Inês Barroso,et al. Meta-analysis and imputation refines the association of 15q25 with smoking quantity , 2010, Nature Genetics.
[5] K. Hornik,et al. Unbiased Recursive Partitioning: A Conditional Inference Framework , 2006 .
[6] Megan E. Piper,et al. A Candidate Gene Approach Identifies the CHRNA5-A3-B4 Region as a Risk Factor for Age-Dependent Nicotine Addiction , 2008, PLoS genetics.
[7] Tatiana Foroud,et al. Variants in nicotinic receptors and risk for nicotine dependence. , 2008, The American journal of psychiatry.
[8] Carolin Strobl,et al. Letter to the Editor: On the term ‘interaction’ and related phrases in the literature on Random Forests , 2014, Briefings Bioinform..
[9] Tait R. Medina,et al. CYP2A6 Effects on Subjective Reactions to Initial Smoking Attempt. , 2016, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[10] Chapel Hill. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. , 2010 .
[11] J. Lindstrom,et al. Expression of cloned α6* nicotinic acetylcholine receptors , 2015, Neuropharmacology.
[12] N. Benowitz. Pharmacology of nicotine: addiction, smoking-induced disease, and therapeutics. , 2009, Annual review of pharmacology and toxicology.
[13] Y. Mineur,et al. Genetics of nicotinic acetylcholine receptors: Relevance to nicotine addiction. , 2008, Biochemical Pharmacology.
[14] K. Lunetta,et al. Screening large-scale association study data: exploiting interactions using random forests , 2004, BMC Genetics.
[15] W. McMahon,et al. Effect of neuronal nicotinic acetylcholine receptor genes (CHRN) on longitudinal cigarettes per day in adolescents and young adults. , 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[16] Arielle S. Selya,et al. Risk factors for adolescent smoking: parental smoking and the mediating role of nicotine dependence. , 2012, Drug and alcohol dependence.
[17] C. Gieger,et al. Sequence variants at CHRNB3–CHRNA6 and CYP2A6 affect smoking behavior , 2010, Nature Genetics.
[18] Nicholas G Martin,et al. Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs. , 2007, Human molecular genetics.
[19] Qun Lu,et al. Habenular a5 nicotinic receptor subunit signalling controls nicotine intake , 2011 .
[20] Tom R. Gaunt,et al. Combined analysis of CHRNA5, CHRNA3 and CYP2A6 in relation to adolescent smoking behaviour , 2011, Journal of psychopharmacology.
[21] Tait R. Medina,et al. CYP2A6 Longitudinal Effects in Young Smokers. , 2016, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[22] Megan E. Piper,et al. Human neuronal acetylcholine receptor A5-A3-B4 haplotypes are associated with multiple nicotine dependence phenotypes. , 2009, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[23] C. D. Fowler,et al. Nicotine aversion: Neurobiological mechanisms and relevance to tobacco dependence vulnerability , 2014, Neuropharmacology.
[24] Mariza de Andrade,et al. Identification of genes and haplotypes that predict rheumatoid arthritis using random forests , 2009, BMC proceedings.
[25] Liwang Liu,et al. Activation of GABAergic Neurons in the Interpeduncular Nucleus Triggers Physical Nicotine Withdrawal Symptoms , 2013, Current Biology.
[26] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[27] Scott F. Saccone,et al. CHRNB3 is more strongly associated with Fagerström test for cigarette dependence-based nicotine dependence than cigarettes per day: phenotype definition changes genome-wide association studies results. , 2012, Addiction.
[28] William Wheeler,et al. Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD , 2010, PLoS genetics.
[29] W. Youden,et al. Index for rating diagnostic tests , 1950, Cancer.
[30] D C Rao,et al. CAT scans, PET scans, and genomic scans , 1998, Genetic epidemiology.
[31] Robin Mermelstein,et al. Early emerging nicotine-dependence symptoms: a signal of propensity for chronic smoking behavior in adolescents. , 2010, The Journal of pediatrics.
[32] C. Hoggart,et al. TTC12-ANKK1-DRD2 and CHRNA5-CHRNA3-CHRNB4 Influence Different Pathways Leading to Smoking Behavior from Adolescence to Mid-Adulthood , 2011, Biological Psychiatry.
[33] S. Shiffman,et al. The nicotine dependence syndrome scale: a multidimensional measure of nicotine dependence. , 2004, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.