MODELS FOR THE GENETIC EPIDEMIOLOGY OF CHRONIC DISEASES

慢性病遗传流行病学模型

• 批准号: 6520779
• 负责人: SANDRA J HASSTEDT
• 金额: $ 18.37万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2004-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6520779
• 关键词: alleles; chronic disease /disorder; computer data analysis; computer program /software; computer simulation; developmental genetics; epidemiology; family genetics; genetic disorder; genetic mapping; genetic markers; genetic models; genotype; human data; human population genetics; linkage mapping; mathematical model; method development; model design /development; pleiotropism; statistics /biometry

DESCRIPTION: (Adapted from investigator's abstract) This application proposes to continue to develop and distribute easy-to-use, powerful, and versatile software for likelihood analysis of family data by extending and enhancing PAP (Pedigree Analysis Package), a software package for the likelihood analysis and phenotype simulation of family data. One of the many applications of PAP, linkage analysis that is used to localize a gene within the genome, is the vital first step in the process of identifying a gene which underlies a disease. Present methods of linkage analysis require excess computer time and lack power when the disease inheritance pattern is complex. This application proposes to remedy both shortcomings. The first specific aim of this project proposes to develop, implement, and evaluate new genetic models and methodology in PAP. The general emphasis of this aim is to improve the multipoint linkage analysis methodology within PAP, by adding methodology to analyze complex traits and to make more efficient use of multipoint genetic marker data. Completion of this project will enable PAP to perform time-efficient multipoint linkage analysis either assuming or maximizing on any genetic model currently available in PAP, or using a mode-of-inheritance-free method. The second specific aim of this project proposes to enhance and support PAP. In addition to continuing to support and distribute PAP, this aim proposes to improve the portability of PAP by converting the source code from Fortran 77 to C++ and proposes to improve the ease-of-use of PAP by developing a graphical user interface. The software will be revised with particular consideration for the speed of computation, ease of use, and portability. A graphical user interface and web-based documentation will facilitate ease of use. The software will be made available through a web site allowing potential users to obtain a copy at no charge and with no delay. Questions will be answered promptly when problems of usage arise.

描述：（根据调查员的摘要进行了改编）此申请提出了 继续开发和分发易于使用，功能强大且通用 通过扩展和增强PAP来对家庭数据的可能性分析软件 （谱系分析软件包），一种可能分析的软件包， 家庭数据的表型模拟。 PAP的众多应用之一， 用于在基因组中定位基因的链接分析是 在识别基因的基因的过程中，至关重要的第一步 疾病。当前的链接分析方法需要过多的计算机时间和 当疾病遗传模式复杂时，缺乏权力。此应用程序 提议补救这两个缺点。 该项目的第一个具体目的是开发，实施和 评估PAP中的新遗传模型和方法。一般重点 该目的是改善PAP内的多点链接分析方法， 通过添加方法来分析复杂性状并提高使用效率 多点遗传标记数据。该项目的完成将启用PAP 执行时间效率的多点链接分析假设或 最大化PAP当前可用的任何遗传模型或使用 无遗产方法。 该项目的第二个特定目的是增强和支持PAP。在 除了继续支持和分发PAP之外，此目标还提出 通过将源代码从Fortran 77转换为PAP的可移植性 C ++并提议通过开发图形 用户界面。该软件将通过特定考虑的修订 计算速度，易用性和可移植性。图形用户 接口和基于Web的文档将有助于易于使用。软件 将通过网站提供，允许潜在用户获得 免费复制，无延迟。何时会及时回答问题 出现使用问题。