Exploiting SNP data in epidemiology and genetics through multivariate analysis of complex traits

通过复杂性状的多变量分析来利用流行病学和遗传学中的 SNP 数据

• 批准号: nhmrc : 1048853
• 负责人: Prof Peter Visscher
• 金额: $ 31.81万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/exploiting-snp-epidemiology-complex-traits/112043
• 关键词: Exploiting; SNP; data; epidemiology; genetics

There is overlap in risk factors across multiple diseases, and some of that overlap is due to genetic factors. The availability of genome-wide DNA data on tens of thousands of patients for multiple diseases and healthy controls allows new questions to be asked and answered. For example, what is the overlap due to genes in disease risk for multiple sclerosis and rheumatoid arthritis? This project will develop and statistical genetic methodology to answer such questions and apply those methods to a range of important diseases.

多种疾病的风险因素存在重叠，其中一些重叠是由于遗传因素造成的。数以万计患有多种疾病和健康对照的患者的全基因组DNA数据的可用性，使人们能够提出和回答新的问题。例如，在多发性硬化症和类风湿性关节炎的疾病风险中，基因有哪些重叠？该项目将开发和统计遗传方法来回答这些问题，并将这些方法应用于一系列重要疾病。