Theoretical Population Genetics

该项目涉及为人口遗传数据制定新的统计方法。 注意力将集中在等位基因组之间的依赖关系：应用哈代-温伯格 在高维遗传数据中的测试和具有罕见的群体结构的表征 变种和相关人群。理论的发展至少在一定程度上是为了满足 目前的人类全基因组SNP调查和全基因组序列变异调查。这项工作 将扩展到人口结构和祖先比例的分析，以强烈选择 和医学上重要的HLA区域，以提供人口结构和祖先的深入分析 比例。 这项工作是由密歇根大学生物统计系的研究人员提出的。 华盛顿。他们将与洛桑大学的杰罗姆古德特、 卡塔卢尼亚理工大学和圣保罗大学的Diogo Meyer。

This project is concerned with developing new statistical methodology for population genetic data. Attention will be focused on dependencies among sets of alleles: the applications of Hardy-Weinberg testing in high-dimensional genetic data and the characterization of population structure with rare variants and related populations. Theory will be developed at least in part in response to the needs of current whole-genome SNP surveys and whole-genome sequence variant surveys for humans. This work will be extended to analyses of population structure and ancestry proportions to the intensely selected and medically important HLA region to provide an in-depth analysis of population structure and ancestry proportions. The work is proposed by investigators in the Department of Biostatistics at the University of Washington. They will be joined by Jerome Goudet at the University of Lausanne, Jan Graffelman at the Universitat Politecnica de Catalunya and Diogo Meyer at the University of Sao Paulo.