Gene-Gene/Gene-Environment Interactions Associated with Nicotine Dependence
与尼古丁依赖相关的基因-基因/基因-环境相互作用
基本信息
- 批准号:8620634
- 负责人:
- 金额:$ 16.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-02-15 至 2018-01-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAlcohol dependenceAreaAttentionBase RatiosCandidate Disease GeneCessation of lifeChild AbuseCocaine DependenceComplementComplexDRD2 geneData SetDependenceDetectionDisciplineDiseaseDoseDrug AddictionEnvironmentEpidemiologistEpidemiologyEtiologyFamily StudyFosteringFoundationsFunctional disorderGABA ReceptorGenesGeneticGoalsInvestigationLeadLearningLogistic RegressionsMalignant NeoplasmsMentored Research Scientist Development AwardMentorsMethodsMorbidity - disease rateNeuronsNicotine DependenceNicotinic ReceptorsPhenotypePlayPreparationPreventionProcessResearchResearch PersonnelResearch Scientist AwardResearch TrainingRoleSamplingSmoking BehaviorSolidStagingTherapeuticTobaccoTobacco useTrainingTreesWorkaddictionbasecareer developmentcase controlcigarette smokingclinical Diagnosisdesignexperiencefollow-upgene environment interactiongenetic variantgenetics of alcoholismgenome wide association studyglobal healthimprovedinnovationinsightmortalitynovelnovel strategiesprematureprogramspsychogeneticspublic health relevanceresearch and developmentsimulationskillstraittreatment strategy
项目摘要
DESCRIPTION (provided by applicant): This proposal for a Mentored Research Scientist Award is designed to provide the candidate with the necessary training and enhanced research experience to transition into an independent drug dependence genetic statistician/genetic epidemiologist. The proposed training, in the areas of drug dependence epidemiology, psychiatric genetics, and kernel-based statistical interaction analysis will complement the candidate's previous training and existing skills, and provide a solid foundation for the candidate
to become an independent investigator. This training will be advised by a multi-discipline mentoring team with extensive experience and complementary skills. The Primary Mentor, Dr. Jim Anthony, and Co-Mentor, Dr. Naomi Breslau, will advise the candidate's training in drug dependence epidemiology, with guided learning experiences via consultants on pathophysiology, etiology, clinical diagnosis, and therapeutics. Co-Mentor, Dr. Karen Friderici, and Collaborator, Dr. Laura Bierut, will supervise the candidate's training in psychiatric genetics Co-Mentor, Daniel Schaid, will advise the candidate's training in kernel-based statistical interaction analysis. The long term goal is to identify gene-gene/gene-environment (G-G/G-E) interactions that account for tobacco/nicotine dependence and related phenotypes (NDRP), and then to evaluate their role in NDRP prediction and prevention, and in personalized treatment. The research proposed in this application is to improve the detection of NDRP-related G-G/G-E interactions by employing innovative statistical genetic approaches. In the proposed research, non-parametric kernel-based statistical genetic approaches will be developed and applied to NDRP-associated genes (e.g., nAChRs sub-unit genes) and environmental determinants (e.g., childhood abuse) for (a) detecting high-order interactions, (b) discovering interactions among low-marginal-effect genetic and environmental determinants, and (c) identifying common and unique interactions accounting for NDRP and alcohol dependence and related phenotypes. An existing case-control genome-wide association study dataset from the Study of Addiction: Genetics and Environment will be used for the proposed G-G/G-E interaction analysis. The novel G-G/G-E interaction findings will likely provide new insights into the underlying NDRP pathophysiological and etiological processes, as well as have significant implications for better NDRP prediction and prevention/treatment strategies. The training and research experience gained from the proposed study will serve as the groundwork for an independent research program, including a new R01 proposal to be submitted during the second year of the K01 award interval, in order to strengthen and refine current methods for NDRP-related G-G/G-E interaction research.
描述(由申请人提供):这份指导研究科学家奖的提案旨在为候选人提供必要的培训和增强的研究经验,以过渡到独立的药物依赖遗传统计学家/遗传流行病学家。在药物依赖流行病学,精神病学遗传学和基于核的统计相互作用分析领域的拟议培训将补充候选人之前的培训和现有技能,并为候选人提供坚实的基础
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Qing Lu其他文献
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{{ truncateString('Qing Lu', 18)}}的其他基金
Computational Efficient Statistical Tools for Analyzing Substance Dependence Sequencing Data
用于分析物质依赖性测序数据的高效计算统计工具
- 批准号:
9922519 - 财政年份:2019
- 资助金额:
$ 16.81万 - 项目类别:
Computational Efficient Statistical Tools for Analyzing Substance Dependence Sequencing Data
用于分析物质依赖性测序数据的高效计算统计工具
- 批准号:
10166816 - 财政年份:2019
- 资助金额:
$ 16.81万 - 项目类别:
Methods and Software for High-dimensional Risk Prediction Research
高维风险预测研究方法和软件
- 批准号:
9975910 - 财政年份:2018
- 资助金额:
$ 16.81万 - 项目类别:
Methods and Software for High-dimensional Risk Prediction Research
高维风险预测研究方法和软件
- 批准号:
9924898 - 财政年份:2018
- 资助金额:
$ 16.81万 - 项目类别:
Methods and Software for High-dimensional Risk Prediction Research
高维风险预测研究方法和软件
- 批准号:
10170422 - 财政年份:2018
- 资助金额:
$ 16.81万 - 项目类别:
Computational Efficient Statistical Tools for Analyzing Substance Dependence Sequencing Data
用于分析物质依赖性测序数据的高效计算统计工具
- 批准号:
9453828 - 财政年份:2017
- 资助金额:
$ 16.81万 - 项目类别:
HDAC6 regulates cigarette smoke-induced endothelial barrier dysfunction and lung injury
HDAC6 调节香烟烟雾引起的内皮屏障功能障碍和肺损伤
- 批准号:
9285844 - 财政年份:2016
- 资助金额:
$ 16.81万 - 项目类别:
Gene-Gene/Gene-Environment Interactions Associated with Nicotine Dependence
与尼古丁依赖相关的基因-基因/基因-环境相互作用
- 批准号:
9008033 - 财政年份:2013
- 资助金额:
$ 16.81万 - 项目类别:
Gene-Gene/Gene-Environment Interactions Associated with Nicotine Dependence
与尼古丁依赖相关的基因-基因/基因-环境相互作用
- 批准号:
8443232 - 财政年份:2013
- 资助金额:
$ 16.81万 - 项目类别:
High-dimensional Statistical Genetic Approach for Family-based Orofacial Clefts
基于家族的口颌面裂的高维统计遗传学方法
- 批准号:
8227059 - 财政年份:2012
- 资助金额:
$ 16.81万 - 项目类别:
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