MODELS FOR THE GENETIC EPIDEMIOLOGY OF CHRONIC DISEASES

慢性病遗传流行病学模型

• 批准号: 2906495
• 负责人: SANDRA J HASSTEDT
• 金额: $ 17.66万
• 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/2906495
• 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：（改编自研究者摘要）本申请提出 继续开发和分发易于使用、功能强大和多功能的 通过扩展和增强PAP进行家庭数据似然分析软件 （谱系分析包），用于可能性分析的软件包， 家系资料的表型模拟。PAP的众多应用之一， 用于定位基因组内基因的连锁分析是 这是识别基因过程中至关重要的第一步， 疾病目前的连锁分析方法需要过多的计算机时间， 当疾病遗传模式复杂时，缺乏动力。本申请 建议弥补这两个缺点。 该项目的第一个具体目标是制定、实施和 评估PAP中的新遗传模型和方法。一般强调 该目的是改进PAP内的多点连接分析方法， 通过增加分析复杂性状的方法， 多点遗传标记数据。该项目的完成将使PAP 为了执行时间有效的多点链接分析， 最大化目前PAP中可用的任何遗传模型，或使用 无继承模式法 该项目的第二个具体目标是加强和支持优先行动计划。在 除了继续支持和分发人民行动党之外，这一目标还提出， 通过将Fortran 77源代码转换为 C++，并建议通过开发图形化的 用户界面.该软件将进行修订，特别考虑到 计算速度、易用性和可移植性。图形用户 界面和网上文件将便于使用。软件 将通过网站提供，允许潜在用户获得 免费复制，没有延误。问题将立即得到答复， 出现了使用问题。