Genealogical-based inference in statistical genetics

统计遗传学中基于谱系的推断

• 批准号: 435822-2013
• 负责人: Burkett, Kelly
• 金额: $ 1.09万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=552896
• 关键词: Genealogical; based; inference; statistical; genetics

The variation observed today in the human genome is a result of genetic processes, such as mutation, acting over time on the DNA of our ancestors. The 'gene genealogy' for a sample of genes from unrelated individuals is a tree describing the historical ancestral genetic events and relationships giving rise to this variation. However, since the time scale is on the order of tens of thousands of years, the true gene genealogy cannot be known. I am interested in using information from genetic markers - variable DNA sites - to infer genealogical relationships between unrelated individuals. My research, which draws on statistics and population genetics, involves the development and dissemination of statistical approaches incorporating these ancestral trees.

今天在人类基因组中观察到的变异是遗传过程的结果，例如突变，随着时间的推移作用于我们祖先的DNA。来自无关个体的基因样本的“基因谱系”是描述历史祖先遗传事件和引起这种变异的关系的树。然而，由于时间尺度是在数万年的数量级上，因此无法知道真正的基因谱系。 我感兴趣的是利用遗传标记（可变DNA位点）的信息来推断无关个体之间的系谱关系。我的研究，这利用统计学和人口遗传学，涉及到发展和传播的统计方法，将这些祖先树。