• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通用模型及用于联合分离分析和通径分析(SEGPATH)的计算机程序:根据符号语言模型规范自动创建计算机程序。

General purpose model and a computer program for combined segregation and path analysis (SEGPATH): automatically creating computer programs from symbolic language model specifications.

作者信息

Province M A, Rao D C

机构信息

Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

出版信息

Genet Epidemiol. 1995;12(2):203-19. doi: 10.1002/gepi.1370120208.

DOI:10.1002/gepi.1370120208
PMID:7607419
Abstract

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.

摘要

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。

相似文献

1
General purpose model and a computer program for combined segregation and path analysis (SEGPATH): automatically creating computer programs from symbolic language model specifications.通用模型及用于联合分离分析和通径分析(SEGPATH)的计算机程序:根据符号语言模型规范自动创建计算机程序。
Genet Epidemiol. 1995;12(2):203-19. doi: 10.1002/gepi.1370120208.
2
Multivariate and multilocus variance components method, based on structural relationships to assess quantitative trait linkage via SEGPATH.基于结构关系通过SEGPATH评估数量性状连锁的多变量和多位点方差成分法。
Genet Epidemiol. 2003 Feb;24(2):128-38. doi: 10.1002/gepi.10208.
3
[Meta-analysis of the Italian studies on short-term effects of air pollution].[意大利关于空气污染短期影响研究的荟萃分析]
Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71.
4
Heritability of the somatotype components in Biscay families.比斯开湾家庭中体型成分的遗传力。
Homo. 2007;58(3):199-210. doi: 10.1016/j.jchb.2006.08.005. Epub 2007 Jun 13.
5
Genetic analysis combining path analysis with regressive models: the BETA path model of polygenic and familial environmental transmission.结合路径分析与回归模型的遗传分析:多基因和家族环境传递的BETA路径模型
Genet Epidemiol. 1994;11(5):431-42. doi: 10.1002/gepi.1370110505.
6
Repeated-measures model for the investigation of temporal trends using longitudinal family studies: application to systolic blood pressure.
Genet Epidemiol. 1989;6(2):333-47. doi: 10.1002/gepi.1370060204.
7
Numerical comparisons of two formulations of the logistic regressive models with the mixed model in segregation analysis of discrete traits.离散性状分离分析中两种逻辑回归模型与混合模型的数值比较。
Genet Epidemiol. 1992;9(6):419-35. doi: 10.1002/gepi.1370090605.
8
Regressive threshold model for familial analysis of complex diseases with variable age of onset.
Genet Epidemiol. 2002 Nov;23(4):375-97. doi: 10.1002/gepi.10202.
9
Segregation analysis of quantitative traits in nuclear families: comparison of three program packages.核心家庭中数量性状的分离分析:三种程序包的比较
Genet Epidemiol. 1989;6(6):713-26. doi: 10.1002/gepi.1370060608.
10
Correcting for nonrandom ascertainment in generalized linear mixed models (GLMMs), fitted using Gibbs sampling.在使用吉布斯抽样拟合的广义线性混合模型(GLMMs)中校正非随机确定。
Genet Epidemiol. 2003 Jan;24(1):24-35. doi: 10.1002/gepi.10206.

引用本文的文献

1
Genetic determinants of C-reactive protein.C反应蛋白的遗传决定因素
Curr Atheroscler Rep. 2007 Sep;9(3):195-203. doi: 10.1007/s11883-007-0019-2.
2
An investigation of the effects of lipid-lowering medications: genome-wide linkage analysis of lipids in the HyperGEN study.降脂药物效果的调查:HyperGEN研究中血脂的全基因组连锁分析
BMC Genet. 2007 Sep 10;8:60. doi: 10.1186/1471-2156-8-60.
3
GenSalt: rationale, design, methods and baseline characteristics of study participants.GenSalt研究:研究参与者的原理、设计、方法及基线特征
J Hum Hypertens. 2007 Aug;21(8):639-46. doi: 10.1038/sj.jhh.1002207. Epub 2007 Apr 19.
4
Software for quantitative trait analysis.用于数量性状分析的软件。
Hum Genomics. 2005 Sep;2(3):191-5. doi: 10.1186/1479-7364-2-3-191.
5
Genome-wide linkage scans for prediabetes phenotypes in response to 20 weeks of endurance exercise training in non-diabetic whites and blacks: the HERITAGE Family Study.非糖尿病白人和黑人在进行20周耐力运动训练后对糖尿病前期表型的全基因组连锁扫描:遗产家庭研究
Diabetologia. 2005 Jun;48(6):1142-9. doi: 10.1007/s00125-005-1769-4. Epub 2005 May 3.
6
Use of a random coefficient regression (RCR) model to estimate growth parameters.使用随机系数回归(RCR)模型来估计生长参数。
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S5. doi: 10.1186/1471-2156-4-S1-S5.
7
Familial resemblance of adiposity-related parameters: results from a health check-up population in Taiwan.肥胖相关参数的家族相似性:来自台湾健康检查人群的结果。
Eur J Epidemiol. 2003;18(3):221-6. doi: 10.1023/A:1023337917377.