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
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8954632
• 关键词: Accounting; Address; Algorithms; Architecture; Behavioral; Biological Process; Brain; Cigarette; Communities; Complex; Computer Simulation; Computer software; Cotinine; Data; Data Set; Development; Disease; Etiology; Family; Frequencies; Genes; Genetic; Genetic Models; Genetic Predisposition to Disease; Genome; Genomics; Genotype; Heart Diseases; Human; Hybrids; Intake; International; Investigation; Joints; Kidney; Lead; Learning; Link; Liver; Malignant Neoplasms; Markov Chains; Measurement; Measures; Methods; Modeling; Nicotine; Nicotine Dependence; Phenotype; Positioning Attribute; Public Health; Regulatory Element; Research; Research Personnel; Resources; Risk; Role; Sampling; Smoking; Smoking Behavior; Statistical Methods; Statistical Models; Testing; Tissues; Tobacco; Tobacco Dependence; Tobacco use; Transcript; Two-Parameter Model; Variant; Weight; Work; addiction; base; cardiovascular disorder risk; cost effective; data format; disability-adjusted life years; epigenomics; exome; expectation; functional genomics; genetic analysis; genetic variant; genome wide association study; genotyping technology; individualized medicine; interest; next generation sequencing; novel; public health relevance; rare variant; software development; statistics; tool; trait; transcriptomics; user-friendly

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