利用高分辨率同源性图谱对复杂性状进行连锁分析的统计方法。
Statistical methods for linkage analysis of complex traits from high-resolution maps of identity by descent.
作者信息
Dupuis J, Brown P O, Siegmund D
机构信息
Department of Preventive Medicine, Northwestern University, Chicago, Illinois 60611-4402, USA.
出版信息
Genetics. 1995 Jun;140(2):843-56. doi: 10.1093/genetics/140.2.843.
Abstract
A multilocus model for complex traits is described that generalizes the additive and multiplicative models and hence allows simultaneously for both heterogeneity and gene interaction (epistasis). Statistical methods of linkage analysis are discussed under the assumption that identity by descent data from a dense set of polymorphic markers are available. Three methods, single locus search, simultaneous search and conditional search, are described and compared.
摘要
描述了一种用于复杂性状的多位点模型，该模型推广了加性和乘性模型，因此能够同时考虑异质性和基因相互作用（上位性）。在假设可获得来自密集多态性标记集的同源数据的前提下，讨论了连锁分析的统计方法。描述并比较了三种方法，即单一位点搜索、同时搜索和条件搜索。
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