Theoretical Population Genetics

该项目致力于开发新的人口遗传数据统计方法。 重点关注等位基因集合之间的相关性：Hardy-Weinberg的应用 高维遗传数据检验和稀有基因种群结构表征 变异体和相关种群。理论的发展将至少在一定程度上回应 目前对人类的全基因组SNP调查和全基因组序列变异调查。这部作品 将扩展到对精选的种群结构和祖先比例的分析 和医学上重要的人类白细胞抗原区域，以提供对种群结构和祖先的深入分析 比例。 这项工作是由加州大学生物统计学系的研究人员提出的 华盛顿。洛桑大学的Jerome Goudet，洛桑大学的Jan Graffelman将加入他们的行列 圣保罗大学加泰罗尼亚理工大学和迪奥戈·迈耶大学。

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.