Statistical methods and computational tools for next-generation genetic studies of complex traits

复杂性状下一代遗传研究的统计方法和计算工具

• 批准号: 290605
• 负责人: Sun Lei
• 金额: $ 48.64万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-09-01 至 2018-09-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=290605&lang=en
• 关键词: Complex Human Traits; Cystic Fibrosis Modifier Genes; Genetic Epidemiology; High-Throughput Genetic And Gemomic Data; Statistical Genetics; Type 1 Diabetes Complications

To harness the full potential of new technological advances in genetics coupled with large-scale genomic information, we develop and apply novel analytical methods with enhanced power to optimize association information between genetic data and complex hu

为了充分利用遗传学新技术进步与大规模基因组信息相结合的潜力，我们开发并应用了具有增强功能的新分析方法，以优化遗传数据与复杂人类之间的关联信息。