INTEGRATING GENETICS, ADVERSE EVENTS, AND ADHERENCE TO IMPROVE SMOKING CESSATION
INTEGRATING GENETICS, ADVERSE EVENTS, AND ADHERENCE TO IMPROVE SMOKING CESSATION
批准号:
9050661
负责人:
ROBERT C CULVERHOUSE
金额:
$19.29万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-15 至 2018-03-31
关键词:
AdherenceAdverse effectsAdverse eventAffectAfrican AmericanAmericanBupropionCYP2B6 geneCessation of lifeClinical TrialsComplexControlled Clinical TrialsDataDevelopmentDistressEuropeanExclusionGenesGeneticGenetic ResearchGenetic VariationGenetic studyGenotypeGoalsHealthHealth Care CostsInterventionKnowledgeLeadMediatingMediationMediator of activation proteinMetabolismMethodologyModelingNeuraxisNicotineNicotine DependenceNicotinic ReceptorsOutcomeParticipantPatientsPharmaceutical PreparationsPharmacological TreatmentPharmacotherapyPlacebo ControlPlayResourcesRoleSamplingSampling StudiesSmokerSmokingTestingTimeTransdisciplinary Tobacco Research CenterUnited StatesUniversitiesVariantWashingtonWisconsinaddictionbasecigarette smokingcostexperiencegastrointestinalgenetic associationgenetic predictorsgenetic profilinggenetic variantgenome-wideimprovedindividualized medicinemedical schoolsmedication compliancenicotine replacementnovelprematurepreventproductivity losssmoking cessationsuccesstreatment adherencetreatment planning
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Adverse events are common while using medications to assist an attempt to quit smoking (Piper et al. 2009). The possibility of assigning optimal smoking cessation medications based on a patient's genetic profile is rapidly becoming a reality: genetic variants associated with nicotine dependence and metabolism have been demonstrated to have an impact on utility of smoking cessation pharmacotherapy (Chen et al. 2012, Bergen et al. 2013, Falcone et al. 2011) and there is preliminary data to support the idea that these variants are also associated with adverse events attributable to smoking cessation pharmacotherapy (King et al. 2012). The goal of this project is to evaluate the utility of genetic variants to predict adverse events while using nicotine replacement therapy or bupropion to help a smoker to quit. To achieve this goal, we will use adverse event, adherence, cessation outcome, and genotype data from the University of Wisconsin Transdisciplinary Tobacco Use Research Center study (UW-TTURC). The specific aims are (1) to determine associations between genetic variants and adverse events attributable to smoking cessation medications in the UW-TTURC study, focusing on genes previously associated with nicotine dependence (e.g. nicotinic receptor subunit genes CHRNA5 and nicotine metabolism gene CYP2A6), or bupropion metabolism (e.g. CYP2B6), and (2) to determine the extent to which associations between genetic variants and successful smoking cessation are mediated by adverse events and adherence. Results from this study should improve our ability to predict who will experience adverse events due when using particular smoking cessation medications. This knowledge will lead to personalized smoking cessation therapies that will decrease adverse events, improve adherence, and ultimately increase smoking cessation success.
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DEVELOPING STRATEGIES FOR JOINT GENE-ENVIRONMENT ANALYSIS
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批准号:8217748
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项目类别:
-
资助金额:$22.8万
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财政年份:2011
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负责人:ROBERT C CULVERHOUSE
-
依托单位:
DEVELOPING STRATEGIES FOR JOINT GENE-ENVIRONMENT ANALYSIS
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批准号:8330779
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项目类别:
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资助金额:$19.0万
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财政年份:2011
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负责人:ROBERT C CULVERHOUSE
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依托单位:
GENETIC INTERACTIONS CONTRIBUTING TO ALCOHOL AND NICOTINE DEPENDENCE
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批准号:7386896
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项目类别:
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资助金额:$7.6万
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财政年份:2008
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负责人:ROBERT C CULVERHOUSE
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依托单位:
GENETIC INTERACTIONS CONTRIBUTING TO ALCOHOL AND NICOTINE DEPENDENCE
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批准号:7575172
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项目类别:
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资助金额:$7.6万
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财政年份:2008
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负责人:ROBERT C CULVERHOUSE
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依托单位:
Computational Methods to Detect Epistasis
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批准号:6827262
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项目类别:
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资助金额:$11.44万
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财政年份:2004
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负责人:ROBERT C CULVERHOUSE
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依托单位:
Computational Methods to Detect Epistasis
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批准号:7259481
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项目类别:
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资助金额:$12.5万
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财政年份:2004
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负责人:ROBERT C CULVERHOUSE
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依托单位:
Computational Methods to Detect Epistasis
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批准号:6919286
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项目类别:
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资助金额:$11.78万
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财政年份:2004
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负责人:ROBERT C CULVERHOUSE
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依托单位:
Computational Methods to Detect Epistasis
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批准号:7083521
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项目类别:
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资助金额:$12.13万
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财政年份:2004
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负责人:ROBERT C CULVERHOUSE
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依托单位:
Computational Methods to Detect Epistasis
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批准号:7468452
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项目类别:
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资助金额:$12.87万
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财政年份:2004
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负责人:ROBERT C CULVERHOUSE
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依托单位:
海外基金