Sun Xiangqing
Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106-7281, USA.
Methods Mol Biol. 2017;1666:233-256. doi: 10.1007/978-1-4939-7274-6_12.
Segregation analysis is a basic tool in human genetics. It is a statistical method to determine if a trait, continuous or binary, has a transmission pattern in pedigrees that is consistent with Mendelian segregation. Major locus segregation is combined together with multifactorial/polygenic inheritance in the unified model. Segregation analysis as a procedure to identify the presence of segregation at a major Mendelian locus, with/without multifactorial inheritance, is introduced in this chapter. It is illustrated with the program SEGREG in the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) package, which can use either regressive models or the finite polygenic mixed model to incorporate the multifactorial/polygenic component.
分离分析是人类遗传学中的一种基本工具。它是一种统计方法，用于确定一种性状（连续性状或二元性状）在系谱中的传递模式是否符合孟德尔分离定律。在统一模型中，主要基因座分离与多因素/多基因遗传结合在一起。本章介绍了作为一种识别主要孟德尔基因座是否存在分离（有无多因素遗传）的程序的分离分析。文中用遗传流行病学统计分析（S.A.G.E.）软件包中的SEGREG程序进行了说明，该程序可以使用回归模型或有限多基因混合模型来纳入多因素/多基因成分。
