Quantitative Methods for Linkage and Associated Studies

该项目的目标是开发改进的定量方法来分析 在复杂疾病的家庭和人口研究中收集的遗传数据，以及 在易于使用的计算机程序中实现这些方法。这些方法是必需的 揭开常见疾病的复杂遗传基础。将开发新的方法来治疗 以下任务：更快、更省内存的多点分析 任意大而复杂的家系中的质量和数量性状.检验 与疾病相关的单倍型；多点连锁不平衡分析； 基于SNP的关联研究。新技术正在允许收集越来越多的 从家系和家系中提取的常见疾病样本的大量多态数据 人口。为该项目开发的新方法将使这些方法能够有效地使用 数据，并将提高研究人员检测疾病真正遗传效应的能力 敏感性，并将它们与统计噪声区分开来。计算机程序将 免费分发给更广泛的研究社区，以确保方法 广泛而容易地应用于现实世界的问题。

The goals of this project are to develop improved quantitative methods for analysis of genetic data gathered in family and population studies of complex diseases, and to implement these methods in easy to use computer programs. Such methods are required to unravel the complex genetic basis of common diseases. New methods will be developed for the following tasks: Faster and more memory-efficient multi-point analysis of both qualitative and quantitative traits in arbitrarily large and complex pedigrees; Testing haplotypes for association with disease; Multipoint linkage disequilibrium analysis; SNP-based association studies. New technologies are allowing collection of increasingly large amounts of polymorphism data on common disease samples drawn from both families and populations. The new methods developed for this project will enable efficient use of these data, and will improve researchers' ability to detect true genetic effects on disease susceptibility and to distinguish them from statistical noise. The computer programs will be freely distributed to the broader research community to ensure that the methods are widely and readily applied to real-world problems.