Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
基本信息
- 批准号:8608507
- 负责人:
- 金额:$ 39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-01 至 2018-01-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAnimal ModelAreaBehaviorBehavioralBehavioral ModelBioinformaticsBiologicalBiological FactorsBiologyCandidate Disease GeneChromosome MappingCocaineCocaine AbuseCocaine DependenceCollectionCommunitiesComplexCopy Number PolymorphismDataData SetDevelopmentDoseDrug AddictionDrug KineticsDrug abuseDrug usageEthicsEtiologyExhibitsFamilyGene ExpressionGenerationsGenesGeneticGenetic Complementation TestGenetic HeterogeneityGenetic VariationGenomicsGoalsHaplotypesHumanInbred StrainInbred Strains MiceIndividualKnock-outLeadMapsMeasuresModelingMusPathway interactionsPatternPharmaceutical PreparationsPhenotypePopulationPredispositionProcessQuantitative Trait LociResearchRiskRoleSample SizeSelf AdministrationSingle Nucleotide PolymorphismSingle Nucleotide Polymorphism MapSocietiesStructureStudy modelsSurveysTestingTimeUrsidae Familyaddictionbasebehavior influencebrain tissuecocaine usedrug of abusedrug reinforcementdrug rewarddrug sensitivitygene functiongenetic resourcegenome wide association studygenome-widehuman diseaseinsertion/deletion mutationinsightmeetingspsychostimulantpublic health relevanceresponsesuccesstooltrait
项目摘要
DESCRIPTION (provided by applicant): The impact of cocaine addiction on the lives of those who suffer from it, their families and society as a whole is staggering. The specific factors that determine an individuals' risk of transitioning from initial cocaine use to abuse and addiction are
largely unknown but a role for genetics has been established. Therefore, identification of specific genes that increase susceptibility to abuse cocaine has been an area of considerable effort in the research community. Attempts to identify genetic loci involved in addiction liabilityin human populations have met with some success but are complicated by lack of environmental control, genetic heterogeneity, the need for large sample sizes and ethical concerns. Genetically stable mouse populations have proven useful for the study of complex human diseases like addiction. While mice will never replicate the entire spectrum of traits that define the human disease state, there are commonly used behavioral models that are believed to faithfully represent key features of addiction. Most drugs of abuse cause psychomotor stimulation when administered acutely and initial sensitivity to a drug has been associated with increased risk for subsequent use and abuse. Therefore, locomotor activation in response to cocaine is often used as a model for addiction-related behavior in mice. It has been known for some time that inbred strains of mice differ widely in their locomotor response to cocaine proving a role for genetics in this complex behavior. More recently, a dense SNP panel has been developed that allows for determination of haplotype structure in inbred mouse strains. These SNP data, along with inbred strain behavioral data, can be used to conduct genome-wide association mapping (GWAS) to identify genomic loci that are associated with cocaine locomotor response. We have recently completed a 45 inbred strain survey of cocaine-induced locomotor response and have identified multiple genetic loci that influence the behavior. The goal of this application is to replicate these QTL in standard intercross (F2) populations and use haplotype information from inbred strains to narrow QTL intervals and identify candidate genes. We also propose to test a set of candidate genes by measuring behavior in knockout lines and by complementation testing. Finally, we propose to examine inbred strains at the extreme ends of the phenotypic distribution in an attempt to uncover the biological mechanisms that contribute to initial locomotor sensitivity to cocaine and may increase risk for addiction.
描述(由申请人提供):可卡因成瘾对患者、他们的家人和整个社会的生活产生的影响是惊人的。决定一个人从最初使用可卡因过渡到滥用和成瘾的风险的具体因素是
大部分是未知的,但遗传学的作用已经确定。因此,确定增加可卡因滥用易感性的特定基因一直是研究界付出相当大努力的领域。试图确定与人类成瘾倾向有关的遗传位点已经取得了一些成功,但由于缺乏环境控制,遗传异质性,需要大样本量和伦理问题而变得复杂。遗传稳定的小鼠种群已被证明对研究成瘾等复杂的人类疾病很有用。虽然小鼠永远不会复制定义人类疾病状态的全部特征,但有一些常用的行为模型被认为忠实地代表了成瘾的关键特征。大多数滥用药物在急性给药时会引起精神刺激,最初对药物的敏感性与随后使用和滥用的风险增加有关。因此,响应于可卡因的运动激活通常被用作小鼠中成瘾相关行为的模型。一段时间以来,人们已经知道近交系小鼠对可卡因的运动反应差异很大,证明遗传学在这种复杂行为中的作用。最近,已经开发了一种密集的SNP面板,其允许确定近交系小鼠品系中的单倍型结构。这些SNP数据,沿着近交系行为数据,可用于进行全基因组关联作图(GWAS)以鉴定与可卡因运动反应相关的基因组基因座。我们最近完成了可卡因诱导的运动反应的45个近交系的调查,并确定了影响行为的多个遗传位点。本申请的目标是在标准互交(F2)群体中复制这些QTL,并使用来自近交系的单倍型信息来缩小QTL间隔并鉴定候选基因。我们还建议测试一组候选基因,通过测量敲除系的行为和互补测试。最后,我们建议检查近交系的表型分布的极端,试图揭示的生物学机制,有助于初始运动敏感性可卡因,并可能增加成瘾的风险。
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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Lisa M Tarantino其他文献
Lisa M Tarantino的其他文献
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{{ truncateString('Lisa M Tarantino', 18)}}的其他基金
Rapid identification of cocaine sensitivity genes using a novel reduced complexity cross
使用新型降低复杂性杂交快速鉴定可卡因敏感性基因
- 批准号:
10400302 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Rapid identification of cocaine sensitivity genes using a novel reduced complexity cross
使用新型降低复杂性杂交快速鉴定可卡因敏感性基因
- 批准号:
10198896 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Role of maternal diet and allelic imbalance in behavior.
母亲饮食和等位基因失衡在行为中的作用。
- 批准号:
8654359 - 财政年份:2013
- 资助金额:
$ 39万 - 项目类别:
Role of maternal diet and allelic imbalance in behavior.
母亲饮食和等位基因失衡在行为中的作用。
- 批准号:
8829921 - 财政年份:2013
- 资助金额:
$ 39万 - 项目类别:
Role of maternal diet and allelic imbalance in behavior.
母亲饮食和等位基因失衡在行为中的作用。
- 批准号:
8482731 - 财政年份:2013
- 资助金额:
$ 39万 - 项目类别:
Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
- 批准号:
7583059 - 财政年份:2009
- 资助金额:
$ 39万 - 项目类别:
Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
- 批准号:
8439115 - 财政年份:2009
- 资助金额:
$ 39万 - 项目类别:
Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
- 批准号:
9222720 - 财政年份:2009
- 资助金额:
$ 39万 - 项目类别:
Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
- 批准号:
9480140 - 财政年份:2009
- 资助金额:
$ 39万 - 项目类别:
Organismal and Genetic Networks in Drug Reward and Reinforcement
药物奖励和强化中的有机体和遗传网络
- 批准号:
8791887 - 财政年份:2009
- 资助金额:
$ 39万 - 项目类别:
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