Province M A, Rao D C
Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Genet Epidemiol. 1995;12(2):203-19. doi: 10.1002/gepi.1370120208.
A general purpose model and a flexible computer program, called SEGPATH, have been developed to assist in the creation and implementation of a variety of genetic epidemiological models. SEGPATH is a computer program which can be used to generate programs to implement linear models for pedigree data, based upon a flexible, model-specification syntax. SEGPATH models can perform segregation analysis, path analysis, or combined segregation and path analysis using any user-specified path model and can be structured to analyze any number of multivariate phenotypes, environmental indices, and/or measured covariate fixed effects (including measured genotypes). Population heterogeneity models, repeated-measures models, longitudinal models, auto-regressive models, developmental models, and gene-by-environment interaction models can all be created under SEGPATH. Pedigree structures can be defined to be arbitrarily complex, and the data analyzed with programs generated by SEGPATH can have any missing value structure, with entire individuals missing, or missing on one or more measurements. Corrections for ascertainment can be done on a vector of phenotypes and/or other measures. Because the model specification syntax is general, SEGPATH can also be used in non-genetic applications where there is a hierarchical structure, such as longitudinal, repeated-measures, time series, or nested models. A variety of applications are demonstrated.
已经开发了一个通用模型和一个名为SEGPATH的灵活计算机程序,以协助创建和实施各种遗传流行病学模型。SEGPATH是一个计算机程序,它可以根据灵活的模型规范语法,用于生成实现家系数据线性模型的程序。SEGPATH模型可以使用任何用户指定的路径模型进行分离分析、路径分析或联合分离和路径分析,并且可以构建为分析任意数量的多变量表型、环境指数和/或测量的协变量固定效应(包括测量的基因型)。群体异质性模型、重复测量模型、纵向模型、自回归模型、发育模型和基因-环境相互作用模型都可以在SEGPATH下创建。家系结构可以定义为任意复杂,并且用SEGPATH生成的程序分析的数据可以具有任何缺失值结构,包括整个个体缺失,或在一个或多个测量上缺失。可以对表型向量和/或其他测量进行确定校正。由于模型规范语法是通用的,SEGPATH还可以用于具有层次结构的非遗传应用,如纵向、重复测量、时间序列或嵌套模型。展示了各种应用。