Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis

使用多位点分析从密集的 SNP（单核苷酸多态性）数据中最大限度地获取知识

• 批准号: DP0770096
• 负责人: Prof Peter Visscher
• 金额: $ 21.45万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-01-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0770096
• 关键词: Maximising; knowledge; dense; SNP; single

The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the efficiency of gene mapping methods, including applications in humans for traits related to productive ageing and a healthy start to life, will allow the estimation of genetic relatedness and genetic variation in natural populations, and will lead to more efficient selection programs in agricultural populations.

基因组学革命使得测量个体中数千种DNA变异成为可能。这些信息可以用于许多方面，包括寻找导致种群中个体之间差异的基因，以及估计过去种群的规模。我们的研究将引领一种分析方法，从这些数据中提取更多的信息。这将提高基因定位方法的效率，包括在人类中应用与生产性衰老和健康生命开端有关的特征，将允许估计自然种群中的遗传相关性和遗传变异，并将导致农业种群中更有效的选择计划。