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基于遗传混合和等位基因突变的种群结构推理新型混合模型

A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations
课程网址: http://videolectures.net/icml08_shringarpure_nam/  
主讲教师: Suyash Shringarpure
开课单位: 卡内基梅隆大学
开课时间: 2008-07-29
课程语种: 英语
中文简介:
用于分析种群结构的传统方法,例如结构程序,忽略了突变效应的影响。我们提出mStruct,一种人口特定的遗传模型混合物的混合体,通过分层贝叶斯框架和推理的变分算法共同解决结构推理和变异估计的任务。我们验证了我们的合成数据方法,并用它来分析(Rosenberg等,2002)中使用的微卫星HGDP CEPH细胞系组和(Conrad等,2006)中使用的HGDP SNP数据。通过mStruct和Structure估计的世界人口结构图的比较​​,我们还报告了由mStruct估计的世界人口中可能有趣的突变模式,这是结构不可能的。
课程简介: Traditional methods for analyzing population structure, such as the Structure program, ignore the influence of mutational effects. We propose mStruct, an admixture of population-specific mixtures of inheritance models, that addresses the task of structure inference and mutation estimation jointly through a hierarchical Bayesian framework, and a variational algorithm for inference. We validated our method on synthetic data, and used it to analyze the HGDP-CEPH cell line panel of microsatellites used in (Rosenberg et al., 2002) and the HGDP SNP data used in (Conrad et al., 2006). A comparison of the structural maps of world populations estimated by mStruct and Structure is presented, and we also report potentially interesting mutation patterns in world populations estimated by mStruct, which is not possible by Structure.
关 键 词: 种群结构; 贝叶斯框架; 变分算法
课程来源: 视频讲座网
最后编审: 2019-04-21:lxf
阅读次数: 83