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Methods to Unveil the Genetic Architecture for Nicotine Dependence via NGS data

Methods to Unveil the Genetic Architecture for Nicotine Dependence via NGS data
通过 NGS 数据揭示尼古丁依赖性遗传结构的方法
批准号：
8954632
负责人：
Dajiang Liu
金额：
$20.11万
依托单位：
PENNSYLVANIA STATE UNIV HERSHEY MED CTR
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：
2015-09-30 至 2017-08-31
来源：
https://reporter.nih.gov/project-details/8954632
关键词：
AccountingAddressAlgorithmsArchitectureBehavioralBiological ProcessBrainCigaretteCommunitiesComplexComputer SimulationComputer softwareCotinineDataData SetDevelopmentDiseaseEtiologyFamilyFrequenciesGenesGeneticGenetic ModelsGenetic Predisposition to DiseaseGenomeGenomicsGenotypeHeart DiseasesHumanHybridsIntakeInternationalInvestigationJointsKidneyLeadLearningLinkLiverMalignant NeoplasmsMarkov ChainsMeasurementMeasuresMethodsModelingNicotineNicotine DependencePhenotypePositioning AttributePublic HealthRegulatory ElementResearchResearch PersonnelResourcesRiskRoleSamplingSmokingSmoking BehaviorStatistical MethodsStatistical ModelsTestingTissuesTobaccoTobacco DependenceTobacco useTranscriptTwo-Parameter ModelVariantWeightWorkaddictionbasecardiovascular disorder riskcost effectivedata formatdisability-adjusted life yearsepigenomicsexomeexpectationfunctional genomicsgenetic analysisgenetic variantgenome wide association studygenotyping technologyindividualized medicineinterestnext generation sequencingnovelpublic health relevancerare variantsoftware developmentstatisticstooltraittranscriptomicsuser-friendly

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英文摘要
 DESCRIPTION (provided by applicant): Nicotine dependence and addiction have strong
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