Biospecimen & Genotyping Core

生物样本

• 批准号: 8530985
• 负责人: DONALD A BALDWIN
• 金额: $ 9.52万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8530985
• 关键词: Abstinence; Animals; Biostatistics Core; Clinical; Collection; Communities; DNA; Data; Databases; Ensure; Future; Genetic Polymorphism; Genotype; Human; Individual; Interdisciplinary Study; Location; Nicotine Dependence; Pharmaceutical Preparations; Procedures; Process; Quality Control; Research Personnel; Resources; Sampling; Serum; Smoker; Specimen; Symptoms; System; Work; cost; data management; data sharing; genetic analysis; pre-clinical; prospective; repository

To support the CIRNA projects and to provide a resource to the broader scientific community, the Biospecimen and Genotyping Core (BGC) will: (1) standardize the collection, processing, and storage of biospecimens from animal and human projects in the CIRNA; (2) implement a prospective system for tracking samples in the biospecimen repository and integrate these data with the current repository of -3,000 human specimens; and (3) for an exploratory genetic analysis, perform genotyping for polymorphisms hypothesized to contribute to abstinence symptoms or medication effects in Projects 3 and 4 (human studies). The BGC will also work with the Data Management and Biostatistics Core to integrate genotypic and phenotypic data, and to implement the CIRNA data sharing plan. The centralized sample processing and tracking strategy for all projects will increase efficiency and reduce the cost of undertaking the individual projects. All of these processes will occur within the context of extensive quality control procedures to ensure that the data provided to CIRNA investigators and to the scientific community are of the highest quality and accuracy.

支持CIRNA项目并为更广泛的科学界提供资源 生物测量和基因分型核心（BGC）将：（1）标准化收集，加工和 从CIRNA中的动物和人类项目中储存生物测量； （2）实施 预期系统用于跟踪生物测量存储库中的样品并整合这些数据 目前的存储库为-3,000个人类标本； （3）对于探索性遗传分析， 对多态性进行基因分型，假设有助于戒酒症状或 项目3和4（人类研究）中的药物影响。 BGC还将与数据合作 管理和生物统计学核心，以整合基因型和表型数据，并实施 CIRNA数据共享计划。所有人的集中样品处理和跟踪策略 项目将提高效率并降低进行单个项目的成本。所有人 这些过程将在广泛的质量控制程序的背景下发生，以确保 提供给CIRNA调查人员和科学界的数据是最高质量的 和准确性。