Molecular Genetics Support to Identify Gene/Environment Interactions in Disease

分子遗传学支持识别疾病中的基因/环境相互作用

• 批准号: 8734192
• 负责人: Richard Paules
• 金额: $ 205.69万
• 依托单位: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8734192
• 关键词: Automation; Bioinformatics; Complex; Consult; Core Facility; DNA; DNA Resequencing; Data Analyses; Development; Disease; Environmental Health; Gel; Genes; Genetic; Genetic Variation; Genomics; Genotype; Goals; Manuals; Methods; Molecular Genetics; Mus; National Institute of Environmental Health Sciences; Nucleic Acids; Predisposition; Prevention therapy; Productivity; Reaction; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Role; Sampling; Scientist; Services; Tail; Technology; Time; Toxic effect; clinical phenotype; cost; design; gene environment interaction; genetic technology; human disease; method development; tool; working group

Dissecting complex disease has become more feasible due to the availability of large-scale DNA resources and advances in high-throughput genomic technology. While these tools help scientists identify potential susceptibility loci, subjects with very specific relevant genotypes are needed for clinical phenotyping and toxicity studies. The Molecular Genetics Core Facility (MGCF) infrastructure was created to perform nucleic acid sample isolation, sample management and genetics studies to support genetics efforts at NIEHS. We continue to support automated gene resequencing infrastructure, which provides support from primer design through data analysis, while dramatically reducing cost per reaction. We also continue to utilize an automated gel-free mouse tail genotyping method to reduce labor and expense of this time consuming and costly aspect of maintaining mouse colonies. Both the methods automation and methods development aspects of our work group offer opportunities for accelerated development of new therapies for prevention of environmentally induced disease.

由于大规模DNA资源的可用性和高通量基因组技术的进步，解剖复杂疾病变得更加可行。虽然这些工具可以帮助科学家识别潜在的易感基因座，但临床表型和毒性研究需要具有非常特定的相关基因型的受试者。 分子遗传学核心设施（MGCF）基础设施的创建是为了进行核酸样本分离，样本管理和遗传学研究，以支持NIEHS的遗传学工作。 我们继续支持自动化基因重测序基础设施，从引物设计到数据分析提供支持，同时大幅降低每个反应的成本。我们还继续利用自动化的无凝胶小鼠尾部基因分型方法，以减少维持小鼠集落的耗时和昂贵方面的劳动力和费用。我们工作组的方法自动化和方法开发方面都为加速开发预防环境诱导疾病的新疗法提供了机会。